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Covid: Predictions for the Next Ten Years

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Article originally posted on Data Science Central. Visit Data Science Central

I am not a medical doctor, only a doctor in statistical sciences. Yet much of the political crisis has its origin rooted in data and statistical models: people who disagree, on either side, do so mostly because they disagree with the conclusions based on the opponent’s data (accused of cherry-picking), or the validity of the data in question. In short, this crisis epitomizes what is called “lying with statistics” by people ranging from layman to scientific expert. Some of the lies are due to ignorance, innumeracy or lack of analytical acumen, some are made on purpose or because being pressured by a third-party that wants to enforce its agenda.

I won’t discuss the data here, but rather, what is missing in the data, and the potential implications. In short, I focus on the absent data (so massive it dwarfs the observed, recorded data). My predictions should be taken as personal opinions only. In fact, they are mostly associated to unanswered questions; I would describe these predictions as an attempt at good judgment, in the absence of solid data. I also  explain why a 85% vaccination rate is unachievable in the long-term in US, and why the outlook, nevertheless, is probably promising. Section 1 discusses my predictions. Section 2 discusses common reasons – not mentioned in the media whether left or right – why some people are not vaccinated. I believe that vaccines work, so by listing the reasons in question, it does not mean that I endorse them.

1. My predictions

A potential way to get some insights about the future is to look at the Spanish flu. Is the common flu a descendant or relative of the Spanish flu, that mutated over time and is constantly mutating and mixing with other related viruses? I don’t have an answer. Similarly, one might think that Covid, after killing everyone it could, will have a much harder time to be so lethal. Also, a smart virus does not want to kill too many people. In that regard, one could argue that Covid is smarter than Ebola. A smart virus would want to infect a large number of people who will be asymptomatic and will spread the disease unknowingly. The fact that the virus kills many people in the process is probably not a feature in the design of the virus, created for that purpose, but rather a side-effect due to poor design. It does not help the virus as the target population also adapts and will find ways to evade it (vaccines, for instance).

Coming back to the Spanish flu, one could argue that the current Covid will evolve in similar ways and become much less lethal sooner rather than later, like in the next few months. In part because many people are vaccinated, and among those unvaccinated, many have been infected once if not twice. Among those unvaccinated but previously infected, many will experience only mild episodes in the future and will get an immunity similar to those who are vaccinated. For instance, many people got the flu a few times as a kid, and never caught it again in the next 40 years. Maybe they caught it again, maybe even every year, but were unaware as it produced no symptom. How many people are in that category, I don’t know. It would be interesting to do a survey to find out. My guess is that it is more than 50% of the population. Since these people never go to a doctor to get tested for flu, they are not in the statistics. Hospitals never see these people, maybe a reason why some doctors believe that they don’t exist. But I believe this is a reason why it is impossible to reach a 85% vaccination rate on a long-term basis.

Also, another important question: how much these people contribute to the spread of the flu, compared to vaccinated people, and to people who get very sick? Finally, not catching the flu for 40 years in a row does not mean that you are immune for life: as you get older, your immunity system gets weaker, and many really old people eventually die from the flu, even if they were untouched for 50 years. And some seasons are particularly deadly. To summarize, Covid will never disappear entirely, in my opinion. Some years will see a deadly variant. Vaccinated people will probably have to get a shot, or two, every year. It may end up like the flu. Maybe not as bad, or maybe worse on average.

Another type of prediction is about how the governments will react. Will vaccine become mandatory for all? I don’t think so. Will you for ever have to show proof of vaccination to go to a restaurant? I don’t think so, indeed I think it won’t be the case anymore within a year. Will vaccinated people get privileges over non-vaccinated, in the long-term? Probably. But  in order to keep these privileges, they will most likely have to get a booster shot, at least once a year. Now my predictions about government mandates have been overly optimistic in the past (I never imagined governments would enact such tough mandates for so long, and I tend to be a pessimistic person). So you might want to take this with a grain of salt. It is possible that lockdowns and tough mandates will happen again on deadly years, in some locales. It is even possible that a 85% vaccination rate can be achieved in the short-term with very tough mandates, but as people become complacent or forget about it over time, some suffering enough from the vaccine not to want booster shots, some like healthy kids thinking Covid is worse than vaccine for them (from a risk management point of view), and because numerous recovered people will realize they are not getting sick anymore (like people who never get the flu again), the effective vaccination rate will drop sharply in the future (you can’t count someone vaccinated 5 years ago as being vaccinated, for a disease like Covid). Nevertheless, Covid will become much less lethal for the reasons previously discussed. Good vaccines not involving needles will  probably be developed, and I think it will increase vaccination rates. 

2. Why so many people are still unvaccinated?

One in about 500 people has died from Covid so far, in US. This is a huge number, but if your circle of friends consists of 100 people, there is only a 20% chance that you know someone who died from it. However, Covid is not a random killer, and trying to put everyone in the same basket, for policy purposes, creates problems. We are all unequal against Covid, and Covid is unfair and a discriminatory virus. Some people have several relatives who died from it (especially if you have frail people in your circle), and some have none. It is clustered, not random. A bit random, but not that much, and certainly far less random than a lottery. Some people know that their risk is very low (see the numerous people who never get flu 40 years in a row). And some people erroneously think they are stronger than others. This has some indirect impacts on the decision to vaccinate.

I will exclude from this discussion people who believe in conspiracy theories, people who believe God will protect them (or possibly punish them), people who believe in miracle cures, people who believe vaccines are dangerous, people who want to wait longer, people who for no reason believe they are immune, or that Covid is vastly exaggerated. This represents a portion of the unvaccinated. As a scientist, I don’t know any of these people. It would be interesting to estimate how much of the unvaccinated they represent. I think it is less than 50%, but I am biased as I don’t frequent these circles. It is the same bias as doctors who think the numerous people who never get the flu 40 years in a row don’t exist, because they never hear about them complaining about flu. 

That said, let us focus on the unvaccinated people that are not in one of the above categories. A priori, it excludes all the so-called “idiots”, and only includes people who believe that vaccines work and are very safe. It would be important to estimate what proportion of the population (among the unvaccinated) they represent. Below, I am listing some of the arguments that I hear from them, which are never mentioned in media outlets. It does not mean that I endorse these arguments: I am just simply reporting them. I believe that this is the hidden face of the unvaccinated, because despite (in my opinion) representing the majority of the unvaccinated, no one ever mentions them. 

  • People who claim that they experienced serious side effects from the first or the second shot, or from previous vaccines. These side effects might be considered mild by most people who get sick once in a while, but for them, being somewhat sick and at home/unable to work for free days because of the shot, is the worst that they have experienced in a long time. They may not recognize that catching the virus could have been far worse. While technically vaccinated, they will be classified as unvaccinated in three years (or more precisely, not immune) if they start refusing future shots.
  • People who know (with facts backing this evidence) that their risk of serious illness from Covid is very low. Their family members might be vaccinated, they may work from home or are retired, maybe they don’t fly, but they know that they are not exposing other people. If they lived with someone frail in their family, they would get vaccinated. If they get Covid, they’d rather die at home than generating potentially very large hospital bills. They want that money to go to their kids, not to an hospital. 
  • Healthy people who believe they need exposure to germs to boost their immune system. They would not take the risk with smallpox, and would be vaccinated against it, but not Covid which they see as much less dangerous. They may have caught all the preventable diseases that they were not vaccinated against as a kid and recovered on their own, almost never visit a doctor, and indeed it worked for them; they expect that it will continue to work this way until they reach old age, or if something far worse than Covid happens: in that case, they will get vaccinated. 
  • People concerned with the administration protocol. They know that vaccines are safe, but they are concerned that the people providing the shots at their grocery store, may not be competent and prone to mistakes. Some people will avoid medical facilities out of fear of catching various diseases. They think they might indeed catch the virus in an hospital, not because of getting the vaccine shot, but because of being exposed to infected patients. The time spent to get vaccinated (driving to and from a vaccination center) may be enough of a deterrent. Some fear needles but would get the vaccine if it could be taken orally and/or at home. Some are concerned about the paperwork: there are stories of vaccinated people who lost their card and were unable to get a new one; for all matters these vaccinated people are now treated as if they were unvaccinated. 
  • People who view the vaccine as a product or commodity. If you ask them why they are not vaccinated, they have no reason. It’s like asking them why they don’t buy oranges at the grocery store despite the fact that they have nothing against oranges and know it is an healthy fruit. These people may have a very long “to do” list, and vaccination is not at the top in that list.
  • Some unvaccinated people have been constantly insulted, to the point that the argument “protecting other people” does not work anymore. They don’t want to protect those who insulted them and predicted their death (or that of a family member), especially as these predictions were wrong for them. Not only that, but they have realized that the vaccinated people predicting all sort of ailments happening to their family, were wrong. They start asking whether what these vaccinated people say about the vaccine might be just as wrong.
  • Probably the largest segment, and rapidly growing, are those who were infected once or twice, especially recently. They believe that they are immune for the next 12 months, and expect the next episode to be milder. They don’t see themselves as any different from vaccinated people, in terms of risks of infecting others or getting seriously sick themselves. Some may even start questioning masks, as the very mild difficulty breathing they experienced themselves personally due to Covid was same as wearing a mask, but only of shorter duration and only on occasions (like a 2-hour episode every other day before eventually disappearing after full recovery).

Again, this is not an endorsement of these viewpoints. Some of these people will eventually become very sick or die, and infect others. But vaccine itself does not fully protect either against transmitting the virus. It is said that it works better than catching the disease (assuming you don’t die from the disease) in terms of building immunity and stopping the spread. But the statistics are biased in the sense that the average recovered patient got her last infection months before the average vaccinated person got her last shot. Over time, we will see if natural immunity is stronger or not than that provided by the vaccine. It seems that volatility due to recovering is higher, thus predictability more difficult, than from vaccines, in terms of assessing the acquired immunity for a specific individual. My guess is that natural immunity works better than vaccines for some people, and worse for other people. In both cases, you’ll probably have to be infected/exposed again, or better, vaccinated again, to keep up with the new variants of Covid. But recovered people are going to be the biggest challenge for government policies, for years to come. Just my 2 cents.

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About the author:  Vincent Granville is a data science pioneer, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent is also self-publisher at DataShaping.com, and founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target). You can access Vincent’s articles and books, here. A selection of the most recent ones can be found on vgranville.com

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Global Cloud-based Database Market Landscape and its Growth Prospect By 2026 – The Host

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Posted on mongodb google news. Visit mongodb google news

All-inclusive research study of the global Cloud-based Database market intends to deliver valuable market analysis moulded according to the requirements of a broad range of customers including an array of marketer’s, business investors and entrepreneurs. The study compiles a balanced statistical and theoretical analysis of key elements of the global Cloud-based Database market. The research study includes an efficient analytical procedure supported by validated methodologies and hypothesis based on various assumptions laid out by market researchers. It delivers exact evaluation of the current global Cloud-based Database market status along with the size and volume ratios, cost structure and overall infrastructure of the Cloud-based Database market as a whole.

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Along with this, the market research study involves a detailed overview of the several standard factors with a definitive impact on the global Cloud-based Database market during the forecast period. It evaluates the significance of variable with a growth inducing impact as opposed to the growth-inhibiting set of factors. The study observes the constant rise in global population, increasing prevalence of small and medium sized enterprises with growing indulgence by individuals in setting up small business enhances the scope for growth of the global Cloud-based Database market by widening the opportunities extensively. Increasing virtual global connectivity aided by web platforms and digitized solutions are expected to drive the growth of the global Cloud-based Database market considerably.

Cloud-based Database Market Leading Companies:

Amazon Web Services
MongoDB
Google
Microsoft
Oracle
IBM
Cassandra
Rackspace Hosting
Couchbase
Salesforce
SAP
Tencent
Alibaba
Teradata

Type Analysis of the Cloud-based Database Market: 

SQL Database
NoSQL Database

Application Analysis of the Cloud-based Database Market:

Small and Medium Business
Large Enterprises

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However, the market growth is also affected by various factors with a negative impact on the growth and development of the global Cloud-based Database market obstructing the rate of demand. The study also assesses the associated challenges proposed as a result of political and economic events coupled with lack of awareness holding back the development of the Cloud-based Database market. It examines the lack of government participation of various regions in spreading awareness restricting the demand. Nonetheless, the market study observes the global Cloud-based Database market to witness substantial growth in demand during the forecast period.

The anticipations composed in the forecast study are considered to be spurred as a result of significant steps taken by the top players of the global Cloud-based Database market. The forecast represents the growth projections of the global Cloud-based Database market based on the developments initiated by the key players of the market coupled with a thorough analysis of the company profile of each influential market player, their market status and competitive advantage. Various activities led by the competitors of the global Cloud-based Database market are explained in the market study with an emphasis on the revenue contributions specific to each player.

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Senior Database Administrator, Associate Director | eFinancialCareers

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Posted on mongodb google news. Visit mongodb google news

Senior Database Administrator, Associate Director

We are looking for a Senior Database Administrator/Technologist to be part of a world class team supporting various product offerings of Fitch Ratings, powered by various middle tier, database, and OS technologies. The Data Services Team supports various database platforms (Oracle Exadata, Postgres, mongoDB, Kafka), develops database centric solutions to business applications and advocate best practices to help design a superior data architecture. The team is responsible for database provisioning, support/administration, architecture, reliability, performance, High Availability, and scalability of large-scale data ingestion, processing/aggregation, and retrieval systems.

The ideal candidate will have at least 5 years of experience working on Relational and NoSQL Databases as well as experienced in Kafka and Kafka Stream Processing. Working within the Data Services Team, this position will be responsible for improving the usage and performance of database technologies used at Fitch. You will contribute to improve our database infrastructure, help teams to efficiently use databases, advise database choices and proved SQL and tuning help. The individual must have excellent SQL coding skills, be proficient in optimizing SQL queries. An understanding of financial data is a definite plus.

Additional Database Administrator Job Responsibilities:

Support, administer, manage, and tune multi-terabyte database systems

Automate tasks to improve efficiency and quality of the team and infrastructure

Manage periodic database/software releases for QA, Pre-Production, Production, and DR as part of the overall SDLC

Troubleshoot database engine and query performance issues in real-time

Work with IT Server Management and other groups and make sure that all issues, incidents, and problems are resolved in a timely manner

Participate in and coordinate projects with other teams within Operations as well as other peer groups like Development and QA teams

Periodically review current processes and suggest improvements as new tools/methods are discovered

Contribute to best-in-class product support resources including run books, tools, monitoring processes, and knowledge bases

Participate in weekly, Tier-2 Support on-call rotation

Experience with DevOps tools highly desired.

Strong engineering mindset with an aptitude for design and problem solving.

Database Administrator Qualifications/Skills:

Strong command of SQL and SQL server tools

Advanced knowledge of database security, backup and recovery, and performance monitoring standards

Understanding of relational and dimensional data modeling

PowerShell and Unix shell scripting skills

Excellent written and verbal communication skills

Impeccable attention to detail

Education and Experience Requirements:

Bachelor’s degree in computer science or a related field

A minimum of 5 years of experience in database administration, information technology, database architecture, or a related field

Experience with Linux and Windows Server environments

Experience working in an Agile framework

Extensive experience with database technologies (Oracle Exadata, MongoDB, Kafka, Postgres)

Experience with cloud services (Oracle Cloud, AWS) a plus

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Database As A Service Providers Market Size, Forecast 2028 | Key Companies – The Host

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Posted on mongodb google news. Visit mongodb google news

New Jersey, United States,- The Database As A Service Providers Market report provides a basic overview of the industry including definitions and classifications. The market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status. The study gives an intricate examination of its applications including a detailed cost evaluation analysis of products that are available in the worldwide market with regards to existing manufacturer profit margins. It helps figure out the primary driving forces of the market in significant end-use organizations around the world. It likewise constitutes a broad investigation of the restraints on the market, business sector structure, and the business pattern of the Database As A Service Providers market. Meetings and interviews with the leading market participants have been used in order to present primary information regarding the market.

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The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include:

IBM, Beats, AWS, Ninox, Aiven, MongoDB Atlas, Zoho Creator, Azure, Kintone, Oracle, Google Cloud Bigtable

Trusted current state analysis tools, such as Porter’s five forces analysis and SWOT analysis are employed in the report to assess the Database As A Service Providers market data to deploy a complete overview of the market. Furthermore, this report gives a complete review of the magnitude and application scope of the market around the world. A detailed overview of the purchasing criteria and difficulties confronted in the Database As A Service Providers business sector is also elaborated in this report.

Database As A Service Providers Market Segmentation

Database As A Service Providers Market, By Verticles

• Banking, Financial, Services, and Insurance (BFSI)
• Government and Defense
• Healthcare and Pharmaceuticals
• IT and Enterprises
• Telecommunication
• Retail
• Others (Incl. Energy, manufacturing, gaming and gambling, media and education)

Database As A Service Providers Market, By Database Type

• Structured Query Language (SQL)
• Not only Structured Query Language (NoSQL)

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Database As A Service Providers Market Report Scope

ATTRIBUT DETAILS
ESTIMATED YEAR 2021
BASE YEAR 2020
FORECAST YEAR 2028
HISTORICAL YEAR 2019
UNIT Value (USD Million/Billion)
SEGMENTS COVERED Types, Applications, End-Users, and more.
REPORT COVERAGE Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends
BY REGION North America, Europe, Asia Pacific, Latin America, Middle East and Africa
CUSTOMIZATION SCOPE Free report customization (equivalent up to 4 analysts working days) with purchase. Addition or alteration to country, regional & segment scope.

Geographic Segment Covered in the Report:

The Database As A Service Providers report provides information about the market area, which is further subdivided into sub-regions and countries/regions. In addition to the market share in each country and sub-region, this chapter of this report also contains information on profit opportunities. This chapter of the report mentions the market share and growth rate of each region, country and sub-region during the estimated period. 

 • North America (USA and Canada)
 • Europe (UK, Germany, France and the rest of Europe)
 • Asia Pacific (China, Japan, India, and the rest of the Asia Pacific region)
 • Latin America (Brazil, Mexico, and the rest of Latin America)
 • Middle East and Africa (GCC and rest of the Middle East and Africa)

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 • What is the growth potential of the Database As A Service Providers market?
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 • What growth opportunities might arise in the Database As A Service Providers industry in the years to come?
 • What are the most significant challenges that the Database As A Service Providers market could face in the future?
 • Who are the leading companies on the Database As A Service Providers market?
 • What are the main trends that are positively impacting the growth of the market?
 • What growth strategies are the players considering to stay in the Database As A Service Providers market?

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We, at Verified Market Research, assist in understanding holistic market indicating factors and most current and future market trends. Our analysts, with their high expertise in data gathering and governance, utilize industry techniques to collate and examine data at all stages. They are trained to combine modern data collection techniques, superior research methodology, subject expertise and years of collective experience to produce informative and accurate research.

Having serviced over 5000+ clients, we have provided reliable market research services to more than 100 Global Fortune 500 companies such as Amazon, Dell, IBM, Shell, Exxon Mobil, General Electric, Siemens, Microsoft, Sony and Hitachi. We have co-consulted with some of the world’s leading consulting firms like McKinsey & Company, Boston Consulting Group, Bain and Company for custom research and consulting projects for businesses worldwide.

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Making Informed Decisions in Imperfect Situations

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Article originally posted on Data Science Central. Visit Data Science Central

We live in a world where everyone needs to learn how to make informed decisions with incomplete and sometimes conflicting data. And that’s a big challenge because humans are inherently bad at making decisions.  And if you want proof, just visit Las Vegas.  Yes, Las Vegas has figured out how to monetize our stupid human decision-making (SHDM) flaws (Figure 1). 

Figure 1: Data-driven by Dilbert (Scott Adams)

Figure 2: Human Decision-making Flaws

Unfortunately, every day we are asked to make important, sometimes life-or-death decisions with imperfect and/or conflicting data.  There is a whole class of decisions, preventive decisions, which are proactive actions taken to minimize the probability of serious injury or death.  Examples of preventive decisions include:

  • Wearing a seat belt
  • Wearing a motorcycle or bicycle helmet
  • Wearing eye, face, and head protection
  • Wearing hearing protection
  • Wearing gloves
  • Not smoking
  • Not drinking and operating machinery
  • Safety lock for guns
  • Wearing safety coats and aprons
  • And, of course, getting vaccinated.

Preventive decisions can be particularly tricky, especially in highly emotional (politicalized) situations where the costs associated with being wrong are distorted.  We are seeing this situation play out in the real world with the COVID vaccination resistance (Figure 3).

Figure 3: COVID-19 Decision-making Extremes

Nobody’s right if everybody’s wrong” – “For What It’s Worth” by Buffalo Springfield

For my class at Menlo College, I am creating an exercise where the students will explore how to make informed decisions in situations of imperfect or even conflicting data (using the decision about wearing seatbelts).  The exercise starts by reviewing a process for making informed decisions in imperfect situations.  I call this “Decision Literacy.”

Decision Literacy

Whether we are overtly aware of it or not, everyone creates a “model” to guide their decision and gathers data as appropriate for the scale or importance of that decision.

  • Some models can be quite extensive in gathering a broad range of data in making the decision, such as buying a house, buying a car, or deciding where to go on vacation.
  • Other models are just straight-forward “rules of thumbs” or heuristics such as changing the oil in your car every 3,000 miles, seeing a dentist every 6 months, or changing your underwear at least once a week.
  • And, unfortunately, some decisions are based upon the loudest, most repetitive voice in the room. To quote Nazi Propaganda Minister Joseph Goebbels “If you tell a lie big enough and keep repeating it, people will eventually come to believe it.”  Sad, but true.

Framing the Decision to be Made

To aid in making informed decisions in imperfect situations of incomplete, conflicting, and/or distorted data, we can embrace the Decision-making Framework of Figure 4.

Figure 4: Informed Decision-making Framework

Some steps in the Informed Decision-making Framework:

  • Identify & Triage Decision to Be Made. The starting point for decision making process is to create a hypothesis[1] around which we are seeking to make a decision. Clearly state Decision Hypothesis that you wish to assessment, and KPIs against which Decision progress and success will be measured
  • Create MECE Decision Matrix. Construct the mutually exclusive and collectively exhaustive (MECE) Decision Matrix that maps actions to potential outcomes.
  • Research and Gather Data and Statistics. This step is tricky in that the sources and credibility of the data and statistics must be objectively  Research and gather data and statistics for each cell of the MECE Decision Matrix with an assessment of the data reliability.
  • Create Cost-Benefit Assessment. This is where a significant amount of time should be spent, especially if the decision has high consequence. Identify the direct and indirect costs and benefits of each cell of the MECE Decision Matrix.
  • Explore Worst Case Scenarios. This step doesn’t get nearly enough attention in the decision-making-process.  Identify ramifications and costs of decision model being wrong; that is, what are the costs associated with making a wrong decision (sickness, death, embarrassment, a better world).
  • Create Clear Presentation. Build analytic visuals and graphics that present the assessment in a format that enables the decision maker to make an informed decision.

The Importance of Properly Framing the Decision to be Made

How one frames the decision becomes important in the data gathering part of making an informed decision.  Are you trying to gather data to determine the right decisions or are you gathering data to support the decision that you have already made? 

  • Many folks succumb to confirmation bias – the tendency to interpret new evidence as confirmation of one’s existing beliefs or theories – and only seek data that supports the decision that they have already made.
  • Finally, careful consideration must be given in presenting the resulting analytics in an unbiased way that helps us to make that informed decision.

To reiterate this critical point in trying to make informed decisions:

A true data scientist frames the hypothesis so that we can learn what decision is best versus framing the hypothesis to support the decision that we have already made. 

There is a big difference!

Befriending the Decision Matrix

To evaluate our decision options (to wear or not wear a seatbelt, to get or not get vaccinated) requires the following steps:

  1. Identifying the different action-outcomes combinations
  2. Brainstorming, identifying, and validating the associated benefits and costs of making a decision for each action-outcomes combination
  3. Gather relevant data (even though the data may be incomplete) carefully considering the reliability, trust, and transparency of the data source
  4. Analyze, assemble, and present the data in a manner that enables making an informed decision considering the multiple action-outcome combinations

The Decision Matrix can guide us in the data gathering and analysis process (Figure 5).

Figure 5: Decision Matrix

Objectivity is everything.  If you come into this process with your mind already made up, then you will only find data that support your position and fabricate reasons to ignore the data that run counter to what you already believe.  If you have a vested interest in a certain decision outcome, then your objectivity is threatened, and the results of your analysis are likely to be biased.

Informed Decisions Summary

The COVID pandemic has frustrated many of us who believe in data and facts to make informed decisions.  Being able to ingest new facts, toss out outdated facts, and ignore the droning of so-called “expert’s” self-serving and skewed opinions is the key to survival, not only as professionals, but as a species.

Finally, the decision process needs data that users can trust in order to make informed decisions. And having data that one trusts is part of our problem today. Even if the data comes from trustworthy sources, it’s very easy to take to social media and scream #FakeNews and create unjustified fear in the data. That’s why Critical Thinking is critical to making informed decisions.

Figure 6: The Key Aspects of Critical Thinking

Critical thinking is more important than ever in a world where the media is constantly screaming their point of view (many times just to drive engagement, views, and profits).

The key to your bottom-line (and not someone else’s), is to think for yourself.  Period.

 

[1] A hypothesis is an assumption or an idea that is proposed for the sake of argument so that it can be tested to see if it might be true.

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Presentation: Hybrid-Remote Done Right: Evaluate the Remote Employee Experience

MMS Founder
MMS Kaleem Clarkson

Article originally posted on InfoQ. Visit InfoQ

Transcript

Clarkson: Where I started learning about remote work, started in 2012. I went to this conference presentation, DrupalCon, Denver. I’m a Drupal person. Matt Westgate is the cofounder and CEO of a company called Lullabot. They do big things. They build big websites: marthastewart.com, Sci-Fi channel. They even won an award in 2012 for the site they did for the Grammy. A real inspirational company and a leader in the space. I’m sitting and listening to a session and he’s talking about these five myths. These myths about remote companies or virtual companies. A term that he talked about in there that I had never heard before, was the term fully distributed. He talked about all of these assumptions that most people make. This is 2012 now, nine years ago. One of them was like not a real company. You’re a virtual company, so you must not be real. You’ve heard that one. You don’t have an office you must not be real. Communication is inefficient. We can’t communicate well, because we just need you right at our fingertips. Like, I want to be able to grab it real quick.

No teamwork. We can’t be a team if we’re not there together. We can’t collaborate. We can’t do these things. It’s lonely if it’s going to be remote. The best and last one is, there’s no sustainable way to do it. This session was just really inspiring to me. It was really my introduction to remote work. I was just fascinated by his showing pictures of his employees, and where they’re living all over the country. Then he’s showing pictures of their retreat and how much fun they’re having. How important those moments were, to him and their teammates, while they’re getting together at their retreat.

The Remote Work Education Continues (2012 – 2013)

Just like most of us, you go to that conference, you get that jazz. You’re jazzed up. I’m basically high off success. While back from DrupalCon, Denver back to Atlanta, and on the way back, I’m thinking, “Remote work. This is fascinating. I never really thought about it this way.” I continue my remote work education. I started off with, “The Year Without Pants.” Then I read the book, “Rework,” and then, “Remote.” Read those two books. I’m totally bombed out by the controversy from the Basecamp stuff that just happened recently. I am optimistic that Jason and DHH will learn from that experience. Regardless of how you feel about that, their books on remote work and culture, were really instrumental for me and for a lot of organizations moving forward. I still recommend those books. I appreciate everything that they have done in years past for these books, because it’s significantly helpful. We’re learning about these books, and we’re learning about this stuff. My partner, she had actually graduated from University of Connecticut, with her master’s degree in organizational development. Again, at that time, we’re talking 2013. We weren’t seeing a lot of positions of VP of people. We weren’t seeing a lot of strategic HR positions. They weren’t as popular as they are today.

Founded Blend Me, 2013

I basically tried to convince her that, why don’t we start our own company? Let’s start our company. We called it Blend Me, Inc. We’re a company that helps remote companies with improving the remote employee experience. We’re people operations professionals. We kept it as a side hustle, and we were super happy with that. We just kept moving on and consulting with companies here and there. We’re very selective. That was the real beginning to where we started and how we got involved with the idea of a remote employee experience.

Hybrid-Remote Experiences, 2019

I want to talk about hybrid remote work in 2019. I’m going to do my best, Lost in Present. I’m going to tell two parallel stories. I ended up leaving higher education, and I end up getting a full time engineering job with Oomph, based out of Providence, doing Drupal work. It was great. It was awesome. They were a company that had a group of employees based out of Providence, and about another 15 employees that worked remotely around the country. This is 2019, before the pandemic. I am loving it. I’m fully remote. My partner’s going to her office every day. My daughter’s going to school. During the day, I was able to ride my mountain bike. I started losing some pounds. Started shedding a little weight. Gained that all back the past year. It was really cool. Because of the research that we had done, and because of the consulting we had done in the past, I knew I needed to get out there and meet people. I was going to meetups. You can see literally the cheesy, typical picture of remote work. That’s me working at Rome, a co-working spot. I’ve really enjoyed going to these different places.

If you were going to ask me, Kaleem, would you recommend remote work to your colleagues? That would be a 100% yes. I was so all in. It was literally as advertised. Also, the organization was really well set up for doing remote work well. My colleague, Stephanie, who we absolutely love. She’s a 21st century woman. She’s our neighbor. We’ve known her, going on 12 years. She’s independent. She doesn’t need a partner. She’s the VP of product of a software company that’s doing very well. She’s that type of person that gets up at 5 a.m., crushes the CrossFit class. She’s ready to go at 7:00. On top of that, she’s a really energetic person. I don’t want to say she’s bubbly. No, that’s not really the right term. She’s that type of person where you’re in that Monday morning meeting on at 8 a.m., and you’re still getting in that first cup of coffee, and you want to ease your day in. She just comes in ready to go. She’s that type of person. The reality of the situation is that it’s infectious. She’s infectious. Her team really thrives off that energy. Their company is a hybrid company where they have trainers all over the country, but they also have a home base here in Atlanta. That’s the type of person that she is. That was life before the pandemic.

March, 2020 – Location Independence

We move on to March of 2020, and the pandemic hits. I’m not a conspiracy theorist. I’m not a doomsday prepper. Although I’ve watched “The X-Files” 100 times, so I love it. The reality of the situation was that there was a lot of stuff happening here in Atlanta. People stealing the toilet paper, fights over the toilet paper, the water. We actually made the decision to head out to Maine. We felt like it was time to maybe go to a different place and go spend some time with our in-laws for a little bit. As soon as they closed the schools, we ended up getting three one way tickets to Maine and enjoying some time. The reason I have this picture here is at that time, the globe, people in the U.S., especially, we all have this injection of location independent, this feeling of freedom. We were out of the birdcage. We were feeling it. Really, it felt liberating.

While I had worked remotely before, my partner still had to go into the office, my daughter still had to go to school. With the schools closed, and with most offices being remote, we had that opportunity to feel that freedom. I would say that we weren’t the only ones, we’re supported by the droves of people that were leaving San Francisco, leaving New York, leaving any big city, because their priorities shifted. People wanted to be safe, so they took that into consideration. Also, a lot of people made a decision to spend more time with their parents, maybe their elderly parents or their family. During that first month, it was like the honeymoon period. All the articles were talking about how great it was to be able to go for a walk and meet all these people. Everyone was just so happy. It was great. At that time, if you were going to ask, and I remember seeing the surveys, most people were like, “I never want to go back, this is the best thing that’s ever happened.”

April 2020 – Present Remote Work during the Pandemic

Fast forward about a month, two months, most people had to deal with homeschooling. For Stephanie, again, she’s that energetic person. She’s the person that comes in, gets her team motivated to plan the event here and to get her trainers to this spot. To think positive all the time, even when there’s times down. She’s that type of person. Her team thrived on that, where she rarely had any turnover. Most of the people in a company have been there for a very long time and a lot of that is attributed to her. As time progressed, her company, just like most companies, made the decision to go fully remote. They were hybrid before, and they had to go fully remote quickly. Her ability to create that environment that everyone loved and everyone was used to before, it was hard to deal with Zoom fatigue. I love talking to you now, but after we’re done with this call, we’re all going to hope we get a chance to relax. We started seeing the shift. As a single person, I feel like in this whole remote work view, we’re not putting enough light on people who are single. She started feeling that sense of isolation and loneliness, and that challenge started becoming a problem. The walls started closing in on her, she said.

It was funny because we were literally just talking about this last week, chilling at the pool, and she was like, “I upped my membership at the car wash to unlimited so that I could go to the car wash every single day even if my car wasn’t dirty.” Another one, she really started walking in the community. We enjoyed each other’s company and stuff like that, but she met a lot more people in the community because she was walking. Then, she would even go to Walgreens. For so many people when you’re talking about homeschooling, and you’re talking about these things, remote work from about April, May, June to present, it has a really different feel than it did in that great honeymoon period. Even for our family. We flew to Maine. We were in Maine from March until June. The challenges of dealing with homeschool were real. My partner, her role in her company was more of a managerial meeting centric type job. She was just on Zoom call after Zoom call, while trying to ensure that our little one was paying attention at homeschool. On top of that, I was having a tough time too. I was working on a large website at the time. Blue Cross Blue Shield was difficult. It was challenging. I struggled a lot.

Our experiences were different, including our daughter. She didn’t have her friends to play with. She was on the screen, and then she would go outside and play by herself because she couldn’t really play with any friends. Then on top of that, we were struggling because there were five of us sharing space. We were staying with our in-laws. The three of us plus our in-laws. Again, those experiences and those circumstances, they changed. If you were to ask me now, would I recommend remote work to everyone during that time? I would have said absolutely not. Fast forward to today where school is back in session, my opinion has basically changed a little bit.

1. Different Preferences and Circumstances for Every Person

Why are we talking about those things here? Two main points that we want to get across here as far as the remote employee experience. The reality of the situation is that I just described two different scenarios, prior to the pandemic, and during the pandemic we’re still in now. Within that, every person has different preferences and different circumstances that are going to change how they feel. Implementing a remote work program without taking all of these things into consideration is a big challenge. Number one, different preferences and different circumstances for every person.

2. Evaluating Remote Work during a Pandemic May Not Be Accurate

Number two, assessing or evaluating remote work during a pandemic, may not be accurate. I talked about the honeymoon period. We had our honeymoon period in that first month. As organizations start requiring people to go back to the office, there’s going to be a lot of people that are very happy to be back in the office. There’s going to be a honeymoon period of returning. High fives, “I haven’t seen you in a long time, Jim.” There’s going to be a lot of excitement to be back in the office. There’s going to be people that are excited about that. How long is that honeymoon going to last? How long before the commute starts to wear you down again? How long is it before you can’t go see your child’s game, or you can’t pick them up from school like you were doing before, or you can’t take your pets for a walk? How long before that honeymoon period of seeing your people, seeing your friends in person is going to wear off?

What Is the Remote Employee Experience?

What is the remote employee experience? What are we talking about? There are a lot of new definitions for remote employee experience. I think Slack just came up with a new definition on the Future Forum. I believe they have a thing called the Remote Employee Experience Index. There’s no right or wrong definition. We had to come up with something. You can’t get away from Gallup. They’re everywhere. During that time, we found their chart of what the employee experience was. As we were looking at it, we’re like, that makes total sense. It looks great. That’s that green chart on the bottom. As we’re looking at it more, we’re thinking, what’s different about remote work, though? Is this the same thing for remote work? Yes, absolutely. There were two pillars that we identified, trust and responsibility. There it is. We came up with our little fancy acronym, The Remote Employee Experience, what we call TREE. Trust and responsibility are the roots. An employer must establish trust with their employees. That they’re going to get the task done at a high level of engagement. It’s assumed trust. It’s not like trust is there and it’s going to have to be assumed. Then at the same time, the employee must trust the employer that they’re going to follow through on the things that they talked about. That they’re going to follow through on what their missions says, and of what their mission and their culture is reflecting, and how they’ve written it.

Then you have responsibility. The employer must take on the responsibility for providing adequate and physical knowledge and resources to get the job done. That’s the responsibility of the employer. Then the employee must take on the responsibility of getting the job done, and really asking questions, and asking for candid feedback when they need it. Then moving on, then you have to write the correct job descriptions. Then you have to onboard them correctly. You have to engage them. Then you have to work on their performance evaluations. Then you develop them for training. Then you got to have a good offboarding process. The remote employee experience is that complete employee life cycle, like a big circle. The life cycle is pretty much from the day that someone views your job advertisement to the day that they retire. That is the complete employee experience.

Self-Assessment – Individual Contributors

Self-assessment. Why as an individual contributor should you evaluate your own remote employee experience? Understanding your personal preferences and circumstances, it’s going to help you maximize your productivity. If you know for example, that I’m more productive from 11:00 to 1:00, then maybe you should block that time out and get that done. On top of that, it also sets expectations. It sets the expectations with your team members. You can tell your team members, from 1:00 until 3:00, I’m going to go for a jog, or I’m going to take my dog for a walk at 1:00 every day. Then I’m going to go for a jog. Then maybe I’m going to do some yoga, so that you can take care of yourself, so that you can make sure that you’re doing the things you need to do to stay healthy. These things are really important. We’ve all heard of all the books about self-reflection, and things like that, but being true to yourself and really understanding these things are really important for you as an individual to work on your work-life integration and self-care. We use work-life integration instead of work-life balance. We just believe you can’t be two people, so we use work-life integration. If you’re not carving out time for self-care, you just have not been paying attention in the past 12 months or so. It’s really important for individuals to take that assessment.

Understanding Your Team Dynamics – Managers

Moving on to managers. Why should managers assess the remote employee experience? It helps you understand your team dynamics. You have a team. A team is a collection of individuals. You can try to manage. I think that’s where a lot of people are having challenges. It’s difficult to manage everyone the same. If you want to manage your team effectively, you have to take into consideration some of the individual preferences. This helps managers also set expectations for the team. Most importantly, it helps you build trust. We talked about the importance of trust. Because it’s going to allow you to be more empathetic. It’s going to allow you to gain more empathy for their situation. That’s really important for managers as well.

Designing a Workplace Flexibility Policy – Data

Designing a workplace flexibility policy. This section here, I just find this really comical. You can see this article here. Workers expect employers to let them down for the future of remote work. You can see Goldman Sachs talking about remote work as an abomination. You can see Google, they had to backtrack on their remote work policy. For me, designing a workplace flexibility policy based on leadership’s preferences, or based on maybe other factors such as real estate investments already, throwing out the empty phrase of, we’re having a difficult time with our culture. It’s really an empty statement. The reality is that leadership is projecting their personal preferences on the organization as a whole. You don’t want to be backtracking. Google’s fine. Any time a company comes out to the news and says, we have to backtrack.

Personally, I just don’t feel like that that’s a good look. All of those things could be avoided by you just going ahead and talking and assessing these types of things with your employees first. What are some ways that you could assess those? Obviously, surveys are good, because you have data that you can look at.

Things such as open forums are really great for people to ask questions to leadership in an open area where they can respond to everyone, because most people are going to have very similar questions.

A/B Test Remote Work Preferences – During and After the Pandemic

The other way that you can do this, you got to A/B test. We got to move to A/B testing. We were talking about whether you should assess the remote employee experience during the pandemic. Why would you want to maybe wait until after the pandemic? We’ve talked about how those attitudes and variables and circumstances changes what people want and what people need. Many people will feel differently after the pandemic, because your remote work preferences will change. Loneliness, isolation, communication, those issues can all be resolved when we can all safely get together again, in large and small groups. It’s really important. In a perfect world, we would suggest that you assess the remote employee experience before the pandemic. If you’re already doing that, that would have been great. Assess the remote employee experience during the pandemic, because you have to. I think that’s an important point that I’m trying to make here is that, yes, you have to assess the remote employee experience no matter what. We’re currently in a pandemic. If you can go ahead and assess it now, great. Before you go ahead and write that policy, try to wait until after the pandemic, after that honeymoon wears off, and see what it is that comes out of those results.

The idea behind this is everyone has different preferences. You shouldn’t be assessing the remote employee experience during a pandemic.

Questions and Answers

Hogbin: You talk about measuring. One of the difficult things about measuring is that you always want the data starting from six months ago. What can people start recording today? What metric can people start thinking about or recording, even if they don’t do it very well? Where can they start measuring to think about what an evaluation might look like 6 months from now, a year from now, 18 months down? What data will they want to have in the future that they could start collecting now?

Clarkson: We’re obviously talking about hybrid remote work. I think some of the obvious ones would be, what are people’s preferences for how many times they want to go into the office? Ask it now. Of course you have to evaluate it now because we don’t have a choice. Measure how many times people want to go into the office now during a pandemic. What I meant to say was, do not write the policy or write the structure of how that’s going to work until you get a chance to measure that same exact question. Ask the same exact question, with the same exact words, with the same options a month after the honeymoon. Because I feel like there’s always a honeymoon period of each one. Everyone’s going to be high five and being back in the office, but we all know as soon as you get stuck in that accident traffic, especially in Atlanta, that’s all going to change.

Hogbin: Chris has already mentioned that he or she is very glad to not have the 3-hour commute time on the train. Definitely, there are some people who are still in the honeymoon period of not having to do that commute.

Do you have any recommendations for building mentoring into remote work?

Clarkson: Mentoring is difficult, because we’re all on these Zoom calls all the time. I’m not quite sure how great people were doing with mentoring prior to the pandemic. I would say, especially for managers, just get on a consistent basis. I love it when companies schedule it on your first day with a repeating calendar invite. The first day, I got a year repeating calendar invite with my direct supervisor. I thought that that was really cool, because it’s scheduled. It’s real. I’m not going to say let’s talk and then I don’t hear from you months. If you’ve seen any remote work consultants or advocates talk about, everything is intentional. You have to be intentional in every aspect of everything.

Hogbin: There’s a number of different questions that are along the theme of, how do you bring people in if they’re remote, or what are some meeting strategies to engage teams that are half in the office, half at home, or half remote? Any strategies that you can share to engage people in a hybrid meeting?

Clarkson: Owl Labs is going to hate me for saying this, because I think Owl Labs little owl is the coolest thing ever invented. I don’t know if any of you know what it is. It’s this little owl you put in the middle of the table, and it automatically jumps to who’s speaking on the Zoom camera. It’s pretty neat. It’s pretty cool. One-hundred percent, this is the piece of advice that we give to all of our clients all the time, you have to do all video. No matter what, in a hybrid situation, you’re creating an A team and a B team. For me back in middle school, there was an A team, or in university. If you weren’t quite good enough, they put you on the B team. It was still fun, though. You still got to play. The point is that everyone has to be on an equal playing field. Our advice is to put everyone on Zoom, or whatever video conferencing tool that you’re using. It just makes everybody feel equal. I think the name of the game, when you do hybrid, is you have to act as if you are a fully distributed company, or an all remote company. You have to be remote first. People have heard that term. Remote first means you’re acting as if you’re working remotely.

Hogbin: We’ve got a few more questions around the specifics of what to measure. I think you gave one really good example on, do you really want to be in an office, yes or no? Then to ask that repeatedly.

Clarkson: It’s really important to get the frequency so that you can adjust your policy and instructions based on how frequently people want to go on. Another one that I would say would be, we have our own assessment. At what times are you the most productive? Someone said I love waking up 20 minutes before I have a meeting, or 20 minutes before having to work. Different people adopt different times for different reasons. This whole Zoom and Slack fatigue, the reason why it’s fatigue is because we’re all trying to assume that we need to meet one after another. Hopefully, some of you saw Tammy’s presentation on asynchronous versus synchronous. The idea here is that if you explain when I’m the most productive and set your guidelines, you’re just setting yourself up for success. You’re setting expectations. If I say I’m more productive from 8:00 to 11:00, then maybe you should email me from 8:00 to 11:00. If I’m not going to work from 11:00 to 1:00 because I want to go walk my dog or go for a run, I’m not going to respond. I think, what times you’re the most productive is a really good one.

What are your biggest challenges while working remotely? That’s a question I steal from Buffer. Buffer does a wonderful job on the state of remote work. They’re great. I think understanding what people’s challenges are while working remotely, is really important. What I’ve noticed in the state of remote work, which was fascinating, was before the pandemic, I believe loneliness was the number one challenge or biggest struggle. Then, I assumed during the pandemic, loneliness would be number one again, but it didn’t. I think it changed to collaboration and communication. I think those are really important. You want to during the pandemic and a post-pandemic time, just for that reason. Things change. Circumstances change.

Hogbin: Where can people find you on the internet?

Clarkson: I’m Kaleem Clarkson everywhere, just Kaleem at Twitter.

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Big Data and Analytics Market : Microsoft, MongoDB, Predikto, Informatica, CS etc …

MMS Founder
MMS RSS

Posted on mongodb google news. Visit mongodb google news

Introduction and Scope
Al all-inclusive research report on the Big Data and Analytics market encompasses an array of data representing the industry in three different phases that is the past, present and future. Historic evidences procured from reliable and authentic sources back the Big Data and Analytics market analysis through historic years followed by actual market sizes, volume, share representing the current market dynamics and the market estimations and growth projections constructing the future forecast. The market study determines the future growth in terms of revenue generation, consumption and rate of demand thereby providing exact industry valuation providing the clientele with a thorough future outlook of the Big Data and Analytics market.

Vendor Landscape and Profiling:

Microsoft
MongoDB
Predikto
Informatica
CS
Blue Yonder
Azure
Software AG
Sensewaves
TempoIQ
SAP
OT
IBM
Cyber Group
Splunk

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The incorporated forecast is heavily based on the evaluation of qualitative factors such as the market drivers, restrains, opportunities and challenges. The study thoroughly imparts qualitative insights by accurately determining the major driving factors boosting the growth of the Big Data and Analytics market thereby enabling predictive analysis of the growth prospects and prospective opportunities. Enlisted restrains signify the primary challenges and factors suppressing the complete potential of the Big Data and Analytics market expansion. Both existing as well as foreseeable scenario of challenges and opportunities is aligned in the market study along with a SWOT analysis determining the core strengths, weakness and threats for the Big Data and Analytics market.

Market Segmentation: Big Data and Analytics Market

Product-based Segmentation:

Data Intergration
Data Storage
Data Presentation

Application-based Segmentation:

LoT
M2M

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Regional Assessment and Segment Diversification.

North America (U.S., Canada, Mexico)
Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)
Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)
Latin America (Brazil, Rest of L.A.)
Middle East and Africa (Turkey, GCC, Rest of Middle East)

Further, the report dives deeper into the specific initiatives to curb the impact of the deadly virus and gradually retain stability by the key competitors of the Big Data and Analytics market. It studies the large scale as well as small scale players within the industry with a predominant market identity and foothold over the market assessing the company profile of each player in detail along with their business strategies, innovative techniques integrated, product portfolio and geographic footprint. The study highlights the significance of advanced business strategies implemented across supply chain, sales & marketing and product development to enhance overall Big Data and Analytics market growth.

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• The current market developments and future traits have been studied while taking into account the and country level analysis

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Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.

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Article originally posted on mongodb google news. Visit mongodb google news

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Document Databases Software Market Current Trends, Future Aspect Analysis 2021-2029 – The Host

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Posted on mongodb google news. Visit mongodb google news

“Document Databases Software Market” report provides comprehensive analysis of the current worldwide which includes market overview, emerging trends; market dynamics, size, growth rate by (types, applications) and drivers and the overall market scenario. Document Databases Software market report covers the global and regional market. The report more offers overview of leading player including profiles, company information, sales, price, revenue, gross margin and related developments.

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The Report Studies Major Industry Key Players such as:

MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis

The Report focuses on-demand source restraint to know the need of various global clients along with some significant features. The turning point of the industries has been existing by giving effective approaches to get worldwide customers massively. SWOT and Porter’s five models are used for studying the market on the idea of strengths, challenges and global opportunities ahead of the companies. This report has been gathered on the idea of recent scope, challenges ahead of the companies and global opportunities to increase the worldwide Document Databases Software Market sector in upcoming years.

Segmentation Analysis:

The Document Databases Software report gives an extensive analysis of different segments of the market by studying the product range, applications, major regions and leading companies in the industry. Additionally, the report also dedicates a different section to give a comprehensive analysis of the manufacturing process, which includes information collected through both primary and secondary sources of data collection. The primary source of data collection contains interviews of industry experts who offer accurate understandings into the future Document Databases Software market scenario.

By Type:

  • Cloud Based
  • Web Based

By Application:

  • Large Enterprises
  • SMEs

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Furthermore, in the Document Databases Software Market report scientists throw light on some substantial key points which are driving the functional and financial flow of the Worldwide market. In addition to this, it highlights different resources within the businesses and how those resources have been applied for achieving the outcomes in the businesses. To increase the businesses rapidly, it concentrates on several approaches for exploring Global opportunities.

Regional analysis:

The latest industry intelligence report analyzes the global Document Databases Software market in terms of market reach and customer bases in the market’s key geographical regions. The global Document Databases Software market can be classified into North America, Asia Pacific, Europe, Latin America, Middle East & Africa based on geography. This report accurately evaluates the presence of the global Document Databases Software market in the major regions. It defines the market share, market size, revenue contribution and sales network and distribution channels of each regional segment.

Highlights of the report:

  • A complete analysis, which includes an assessment of the parent market
  • Important changes in market dynamics
  • Historical, current, and anticipated size of the market from the viewpoint of both value and volume
  • Reporting and evaluation of recent industry developments
  • Market Size, shares and approaches of key players
  • Emerging position segments and regional markets
  • An objective assessment of the path of the market
  • References to companies for establishment their foothold in the market

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Document Databases Software Market Register a xx% CAGR in Terms of Revenue

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Research article delivering key findings backed by repository of evidential data offers a consequential study on the Document Databases Software market typically focusing on imparting critical insights and an exhaustive outlook of the market. the study provides definitive results and a rich stack of analytical output consisting of the market metrics and estimations, future forecast, size and volume dimensions and market share compartmentalised into individual industry entities. The Document Databases Software market report determines the revenue generation and consumption trends with a detailed evaluation of the industry infrastructure. The forecast is graphically represented offering easily perceivable insights to the clientele specific to growth and development of the Document Databases Software market.

Key players profiled in the report includes:

MongoDB
Amazon
ArangoDB
Azure Cosmos DB
Couchbase
MarkLogic
RethinkDB
CouchDB
SQL-RD
OrientDB
RavenDB
Redis

We Have Recent Updates of Document Databases Software Market in Sample [email protected] https://www.orbisresearch.com/contacts/request-sample/4215068?utm_source=PoojaM

The forecast predictions are typically driven by the major influential growth derivatives responsible for the moderate to drastic fluctuations in the growth trajectory of the Document Databases Software market. the report categorically enlists the crucial market drivers alongside the critical refraining factors thereby offering a thorough overview of the key considerations in predicting the forecast growth of the Document Databases Software market. the study also covers an essential assessment of the opportunities and challenges affecting the overall growth of the Document Databases Software market and further anticipating the potential scope of growth of the industry over the determined span of years.

By the product type, the market is primarily split into

Cloud Based
Web Based

By the end-users/application, this report covers the following segments

Large Enterprises
SME

Additionally, the report also sheds light on the current and emerging industry trends boosting rapid evolution within the Document Databases Software market and the thereby resulting growth prospects. The study embarks upon recent trends dominating the product development approach adopted by the Document Databases Software market with a view of expanding business activities on a large-scale. The report also conducts an internal business overview determining the favourability of Document Databases Software business and its future opportunistic landscape whilst considering the changes led on a massive scale due to the emergence of COVID-19 outbreak stimulating new challenges and threats.

Geographical Segmentation and Competition Analysis
North America (U.S., Canada, Mexico)
Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)
Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)
Latin America (Brazil, Rest of L.A.)
Middle East and Africa (Turkey, GCC, Rest of Middle East)

Browse Full Report with Facts and Figures of Document Databases Software Market Report at @ https://www.orbisresearch.com/reports/index/global-document-databases-software-market-size-status-and-forecast-2020-2026?utm_source=PoojaM

Table of Contents
Chapter One: Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Document Databases Software Revenue
1.4 Market Analysis by Type
1.4.1 Global Document Databases Software Market Size Growth Rate by Type: 2020 VS 2028
1.5 Market by Application
1.5.1 Global Document Databases Software Market Share by Application: 2020 VS 2028
1.6 Study Objectives
1.7 Years Considered

Chapter Two: Global Growth Trends by Regions
2.1 Document Databases Software Market Perspective (2015-2028)
2.2 Document Databases Software Growth Trends by Regions
2.2.1 Document Databases Software Market Size by Regions: 2015 VS 2020 VS 2028
2.2.2 Document Databases Software Historic Market Share by Regions (2015-2020)
2.2.3 Document Databases Software Forecasted Market Size by Regions (2021-2028)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 Document Databases Software Market Growth Strategy
2.3.6 Primary Interviews with Key Document Databases Software Players (Opinion Leaders)

Chapter Three: Competition Landscape by Key Players
3.1 Global Top Document Databases Software Players by Market Size
3.1.1 Global Top Document Databases Software Players by Revenue (2015-2020)
3.1.2 Global Document Databases Software Revenue Market Share by Players (2015-2020)
3.1.3 Global Document Databases Software Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3)
3.2 Global Document Databases Software Market Concentration Ratio
3.2.1 Global Document Databases Software Market Concentration Ratio (CRChapter Five: and HHI)
3.2.2 Global Top Chapter Ten: and Top 5 Companies by Document Databases Software Revenue in 2020
3.3 Document Databases Software Key Players Head office and Area Served
3.4 Key Players Document Databases Software Product Solution and Service
3.5 Date of Enter into Document Databases Software Market
3.6 Mergers & Acquisitions, Expansion Plans

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Further, the research article on the Document Databases Software market provides a compartmentalised analytical review of the leading market players prominently highlighting their role in operating the Document Databases Software market. It accurately studies the complete profile of each competitor identifying the revenue contributions, sales and profit trends, traction, significance of the product portfolio and economic favourability. the market research study focuses on primarily decoding the impact of recent market happenings and innovations driven by the key players intended to accelerate the progress of the Document Databases Software market such as collaborations and partnerships between two competitors or other industry player.

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Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.

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NoSQL Databases Software Market Register a xx% CAGR in Terms of Revenue – Advertising Market

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Introduction and Scope
Al all-inclusive research report on the NoSQL Databases Software market encompasses an array of data representing the industry in three different phases that is the past, present and future. Historic evidences procured from reliable and authentic sources back the NoSQL Databases Software market analysis through historic years followed by actual market sizes, volume, share representing the current market dynamics and the market estimations and growth projections constructing the future forecast. The market study determines the future growth in terms of revenue generation, consumption and rate of demand thereby providing exact industry valuation providing the clientele with a thorough future outlook of the NoSQL Databases Software market.

Vendor Landscape and Profiling:

MongoDB
Amazon
ArangoDB
Azure Cosmos DB
Couchbase
MarkLogic
RethinkDB
CouchDB
SQL-RD
OrientDB
RavenDB
Redis

We Have Recent Updates of NoSQL Databases Software Market in Sample [email protected] https://www.orbisresearch.com/contacts/request-sample/4215069?utm_source=PoojaM

The incorporated forecast is heavily based on the evaluation of qualitative factors such as the market drivers, restrains, opportunities and challenges. The study thoroughly imparts qualitative insights by accurately determining the major driving factors boosting the growth of the NoSQL Databases Software market thereby enabling predictive analysis of the growth prospects and prospective opportunities. Enlisted restrains signify the primary challenges and factors suppressing the complete potential of the NoSQL Databases Software market expansion. Both existing as well as foreseeable scenario of challenges and opportunities is aligned in the market study along with a SWOT analysis determining the core strengths, weakness and threats for the NoSQL Databases Software market.

Market Segmentation: NoSQL Databases Software Market

Product-based Segmentation:

Cloud Based
Web Based

Application-based Segmentation:

Large Enterprises
SME

Browse Full Report with Facts and Figures of NoSQL Databases Software Market Report at @ https://www.orbisresearch.com/reports/index/global-nosql-databases-software-market-size-status-and-forecast-2020-2026?utm_source=PoojaM

Additionally, the market survey emphasizes on the dynamic shift in business models and strategies to counter the implications imposed by the COVID-19 pandemic on the NoSQL Databases Software market in particular. Besides, the overall impact of the unprecedented fatal virus outbreak worldwide on industrial as well as non-industrial entities, the study particularly targets the specific adversities experienced by the NoSQL Databases Software market including the growth fluctuation, imbalanced demand rate, loss of capital and vulnerability in the competitive environment. Also, the study determines the specific changes in business workflow in adherence to the recent crisis demanding a massive change.

Regional Assessment and Segment Diversification.

North America (U.S., Canada, Mexico)
Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)
Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)
Latin America (Brazil, Rest of L.A.)
Middle East and Africa (Turkey, GCC, Rest of Middle East)

Further, the report dives deeper into the specific initiatives to curb the impact of the deadly virus and gradually retain stability by the key competitors of the NoSQL Databases Software market. It studies the large scale as well as small scale players within the industry with a predominant market identity and foothold over the market assessing the company profile of each player in detail along with their business strategies, innovative techniques integrated, product portfolio and geographic footprint. The study highlights the significance of advanced business strategies implemented across supply chain, sales & marketing and product development to enhance overall NoSQL Databases Software market growth.

Why Buy This Report?
• The research study disseminates the opportunities and strategies to boost growth amidst the pandemic.
• The study discusses in detail the impact of COVID-19 on the market and recovery strategies adopted by the market players.
• Company portfolios including market shares, financial information, growth estimates, performance in the past few years, and projected growth in the years 2021-2028.
• The report assesses the market’s competitive landscape studying the market share, strengths & shortcomings, opportunities for entry into market, and target markets
• The current market developments and future traits have been studied while taking into account the and country level analysis

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About Us:
Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.

Contact Us:
Hector Costello
Senior Manager Client Engagements
4144N Central Expressway,
Suite 600, Dallas,
Texas 75204, U.S.A.
Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155

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