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: Let’s call the whole thing DI
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 > Let’s call the whole thing DI
Business Intelligence

Let’s call the whole thing DI

TedCuzzillo
TedCuzzillo
2 Min Read
Let’s call the whole thing DI
Illustration generated with Qwen Image.
SHARE

You say dayta and I say dahta. You say business intelligence—and now Colin White and Claudia Imhoff say “decision intelligence.” They may want you to say it, too, depending on what you mean.

Now or later—yesterday afternoon it didn’t sound clear just when—they’d like you to say “decision framework.” Perhaps that’s in addition to “decision intelligence” or instead of it. I’m not sure.

They’re both veterans of technology wars, fads, shifts, realignments and convergences. Both are among the most eminent of BI thought leaders. They’ve given their suggestion a lot of thought.

You may ask why? For one thing, they explain, business intelligence has become too closely associated with analytics and data warehousing. They decided it would be easier to offer a new term than try to straighten out the old one. What will keep the same thing from happening to the new term? A fair question.

More Read

Chatting with Albert Einstein about Business Intelligence
Chatting with Albert Einstein about Business Intelligence
Pros and Cons: Cyber Command
Big Data
Why is Modeling Foundational to Performance Management?
Four Ways to Develop Customers for Life

A second reason for the new term: they’d like to get your attention.

They hope to have the attention of several hundred attendees tomorrow morning at 8 a.m. at TDWI World Conference in Las Vegas. They’ll explain in detail during their keynote. The hot breakfast, restored by popular demand since last August, won’t hurt.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is the gap between raw bank-feed records and reliable subscription i
Subscription Trackers Have a Transaction Data Problem
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the hypervisor as the abstraction layer that makes hybrid cloud p
7 Best Virtualization Platforms for Hybrid Cloud Environments
Big Data
Flat editorial illustration: The article's core relationship is between aggregated workplace data (occupancy, environmental, feed
How Businesses Can Use Workplace Data to Create Better Office Environments
Big Data Business Intelligence Exclusive
Flat editorial illustration: The article's core relationship is the engineering transition from an AI prototype to a production-r
From AI Prototype to Production: Observability and Scalability Requirements for Data-Heavy SaaS Applications
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

From Social CRM to "social" PLM, developing products in a social environment
CRM

From Social CRM to “social” PLM, developing products in a social environment

7 Min Read
Improvement Project for Services; Remember You're Never Really Done
AnalyticsCollaborative DataData MiningData QualityData VisualizationData WarehousingDecision ManagementStatistics

Improvement Project for Services; Remember You’re Never Really Done

8 Min Read
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence

3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows

6 Min Read
Data Automation Has Become an Invaluable Part of Boosting Your Business
Big Data

Data Automation Has Become an Invaluable Part of Boosting Your Business

5 Min Read

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

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?