We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Analytics 2020: What will Data Analytics look like in a decade?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Visualization > Analytics 2020: What will Data Analytics look like in a decade?
Data Visualization

Analytics 2020: What will Data Analytics look like in a decade?

Brett Stupakevich
Brett Stupakevich
3 Min Read
Analytics 2020:  What will Data Analytics look like in a decade?
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

When I first thought about the future of data analytics, I started researching to find out what industry experts have to say.  But if experts are thinking about the long-term future, they aren’t talking.

Though there was discussion around the future of Business Intelligence (BI) for a while, there hasn’t been much in the past couple of years.  And many of the ideas that were still on the horizon in 2006 or 2008 are flowing into the mainstream now:  integration of BI with social networking, BI on mobile devices, BI in the cloud, BI for petabytes of data, collaborative BI, business-driven BI, and so on.  The laggard is BI for unstructured data, which everyone knows is important but still isn’t nearing realization.  The pursuit of unstructured data is getting plenty of attention, though, and progress will undoubtedly speed up.

 So by 2020, that problem may be in the past—and the process of gathering, analyzing and utilizing business data could look very different than it does today.  For example:

  • There might not be a separate analytics process.  BA may be seamlessly integrated into a single enterprise-wide information management system that extracts and organizes business intelligence in the background, with relatively little human involvement.
  • Or everyone could be an analyst.  Users might be able to ask natural language questions in real time and (presto) get back data that’s intuitively pre-organized, accessible from any platform, and effortlessly actionable.
  • On the other hand . . . there could be a complete reversal of the current direction.  Instead of giving end users more direct access to data and easy-to-use BI tools, the next great thing may be a return to the past, with mainframe-like supercomputers whirring away at massive amounts of data and rooms full of dedicated data-wranglers to manifest results in super-customized formats.

There are undoubtedly many more possibilities, but one thing seems certain:  The information landscape of 2020 will be quite a change from the one we see today.  (For some related ideas, check out this interview with Seth Grimes on new tools for business analytics.)

More Read

Web Tracking and Analytics Data in Salesforce: Why They're Necessary
Web Tracking and Analytics Data in Salesforce: Why They’re Necessary
What’s the Difference? – A Social Media Monitoring Strategy that Analyzes Intentions Instead of Mentions
Business Discovery Apps: Data Visualization Plus
Workforce Planning and HR Analytics
How Fintech is Using Web Data For Financial Intelligence

Cynthia Giles
Spotfire Blogging Team

Image Credit: Mirosoft Office Clip Art

TAGGED:analytics
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: A guaranteed reward can raise participation while skewing the respondent pool toward active customer
Incentive-Driven Response Bias: Auditing Sample Composition Before You Trust Survey Data
Big Data Data Quality Exclusive
Flat editorial illustration: The article’s core relationship is observable blockchain activity becoming a trustworthy business me
Blockchain Dashboards Need Better Definitions, Not More Charts
Blockchain Exclusive
Flat editorial illustration: The article's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT
Flat editorial illustration: The article positions data governance as a strategic board-level concern rather than a purely techni
Why Data Governance Is Becoming a Board-Level Business Priority
Big Data Exclusive Policy and Governance

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Google Analytics
Security

Hackers Steal Credit Cards Using Google Analytics: How to Protect Your Business From Cyber Threats

12 Min Read
Seasonal Web Traffic: The Proverbial Coal in Your Stocking
CRMPredictive Analytics

Seasonal Web Traffic: The Proverbial Coal in Your Stocking

7 Min Read
5 Sherlock Holmes Quotes That Prove Genius for Data-Driven Decision Making
Uncategorized

5 Sherlock Holmes Quotes That Prove Genius for Data-Driven Decision Making

6 Min Read
Data Analytics and Business Outcomes: A Discussion Worth Your Time
Analytics

Data Analytics and Business Outcomes: A Discussion Worth Your Time

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?