Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Predictions: A Cynic’s Guide to BI in 2017
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Predictions: A Cynic’s Guide to BI in 2017
Business Intelligence

Predictions: A Cynic’s Guide to BI in 2017

Timo Elliott
Timo Elliott
4 Min Read
SHARE

bi-in-2017-fail

I’ve been working in Business Intelligence and Analytics for over twenty-five years. With some confidence and a lot of cynicism, here are my predictions for 2017:

Business People

More Read

Report Governance is Key to Consistent Business Information
6 Innovative Dashboards
DM Radio – The Business Side of Data Integration
The New MDM-It’s Not What You Think!
Data Management Career Success in Turbulent Times

bi-in-2017-fail

I’ve been working in Business Intelligence and Analytics for over twenty-five years. With some confidence and a lot of cynicism, here are my predictions for 2017:

Business People

  • Business people will be dissatisfied with their BI systems (this is “Timo’s First Law of BI”)
  • Executives will refuse to learn to use any other data tool than Excel (and not even the newer features of that).
  • No matter how good the BI system, business people will make bad decisions based on gut feel.
  • Executives will be completely unaware of data quality problems. Unless their bonus depends on some value affected by it, at which point they will become experts.
  • Some business people will get fed up with corporate BI, and take it into their own hands. They will build a loosely-connected set of different technologies resulting in huge maintenance costs and low compliance. They will then ask IT to take over the project.

IT

  • IT teams will implement new ERP systems, then be surprised when business people ask for analytics.
  • IT teams will struggle to build business cases for BI. But as soon as the business people have access to new data, processes will change, generating missions of dollars.
  • Data quality, data integration, and metadata will be the primary barriers to BI. But companies will continue to invest less in these areas than in shiny executive dashboards.
  • New data sources will outpace IT’s ability to integrate them into core platforms (no matter what technology is used).
  • BI Competency Centers will over-invest in technical skills and under-invest in communications and community-building.

Analysts

  • Some analysts will say BI and BI competency centers are dead, much to the confusion of the millions of people doing it every day.
  • Analysts will say that there is only 15% penetration of BI. Nobody will understand where this number comes from, and why it hasn’t changed in over twenty years.
  • Analysts will say that data should be treated like an asset. Companies will not treat it like an asset.
  • BI success numbers will be “calculated” using non-scientific samples of self-reported estimates without defining what “success” means.
  • Analysts will say these numbers are too low, and that you need help from analysts to improve them.

The market

  • Everybody will insist their definition of Business Intelligence / Analytics / Big Data etc. is the only “correct” one.
  • New analytics buzzwords will be coined. Thousands of articles will be written saying that the new buzzwords are meaningless and/or wrong.
  • New BI startups will be created. They will claim to bring “BI to the masses” for the first time.
  • Newer vendors will call the older vendors inflexible dinosaurs. Older vendors will call newer vendors immature and unsafe. Some newer vendors will suddenly realize that they are now considered the older vendors.

What predictions would you add?

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive
image fx (71)
The Power of AI for Personalization in Email
Artificial Intelligence Exclusive Marketing
image fx (67)
Improving LinkedIn Ad Strategies with Data Analytics
Analytics Big Data Exclusive Software
big data and remote work
Data Helps Speech-Language Pathologists Deliver Better Results
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Put Predictive Analytics To Work in Operations

3 Min Read

Enter Nanosolar, a San Jose-based start-up that manufactures…

1 Min Read

Content in Context – Better, Smarter Decisions Powered by Analytics

4 Min Read

Analyzing Olympic Success by Country with Data Visualization

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.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?