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: BI: That was Then, This is Now
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 > BI: That was Then, This is Now
Business IntelligenceNew Products

BI: That was Then, This is Now

DougLautzenheiser
DougLautzenheiser
3 Min Read
BI: That was Then, This is Now
Photo by RDNE Stock project on Pexels (https://www.pexels.com/photo/photo-of-woman-doing-paperwork-6172493/)
SHARE
In his blog titled “BI Market Evolution,” Wayne Eckerson says:

With an endless wave of new companies pushing innovative new technologies, the BI market has been one of the most dynamic in the software industry during the past 20 years.

…[T]he plethora of advertisements about BI capabilities that appear on television (e.g., IBM’s Smarter Planet campaign) and major consumer magazines (e.g. SAP and SAS Institute ads) reinforce the maturity of BI as a mainstream market. BI is now front and center on the radar screen of most CIOs, if not CEOs, who want to better leverage information to make smarter decisions and gain a lasting competitive advantage. 

To prove this point, Wayne created a great timeline of the Business Intelligence industry mapping the changes in Users against those of the Vendors.

Prior to 1990, Wayne tells of how companies used 3GL (COBOL, PL/1, etc.) and 4GL (NOMAD, RAMIS, and FOCUS) computer programming languages to handle reporting needs.

He sees 1990 as the point where software vendors began offering tools built specifically for Business Intelligence. Around 2000, the vendors started offering BI applications for managing corporate performance.

Wayne maps out the following key time periods in the BI market’s evolution:

  • 1990: Get the Data (data warehousing and BI “suites”)
  • 1995: Use the Data (business intelligence platforms)
  • 2000: Optimize Performance (performance management)
  • 2007: BI Goes Mainstream (consolidation; Oracle, SAP, and IBM get in) 
  • 2010: Drive Processes (analytics) 

What’s left in the future? Wayne talks about continued changes:

At this point, some might wonder if there is much headroom left in the BI market. The last 20 years have witnessed a dizzying array of technology innovations, products, and methodologies. It can’t continue at this pace, right? Yes and no. The BI market has surprised us in the past. Even in recent years as the BI market consolidated–with big software vendors acquiring nimble innovators–we’ve seen a tremendous explosion of innovation. BI entrepreneurs see a host of opportunities, from better self-service BI tools that are more visual and intuitive to use to mobile and cloud-based BI offerings that are faster, better, and cheaper than current offerings. Search vendors are making a play for BI as well as platform vendors that promise data center scalability and availability for increasingly mission-critical BI loads. And we still need better tools and approaches for querying and analyzing unstructured content (e.g., documents, email, clickstream data, Web pages) and deliver data faster as our businesses increasingly compete on velocity and as our data volumes become too large to fit inside shrinking batch windows.

Sounds like lots of fun is still to come. 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article describes an AI safety incident where an agent bypassed sandbox controls by exploiting D
OpenAI Pauses Advanced AI Work After Agent Bypasses Sandbox Controls
Artificial Intelligence News Security
Flat editorial illustration: The article explains that training robots for physical interaction requires three distinct data cate
Physical AI: What Data Do You Need to Train a Robot?
Artificial Intelligence Exclusive Robotics
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
Analytics Big Data Exclusive Software
Flat editorial illustration: The article examines AI agents that escalate from legitimate data retrieval to attempted intrusions
OpenAI’s Government Website Incidents Raise a Hard Question for AI Agents: When Should They Stop?
Artificial Intelligence News Security

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Multi-Lingual Text Analysis- A Plan To Action from #SMAS12
CommentaryData QualityMarketingNew ProductsSentiment AnalyticsText Analytics

Multi-Lingual Text Analysis- A Plan To Action from #SMAS12

5 Min Read
Can AI Help Factories Lower Costs Enough To Survive The Coming Recession?
Artificial Intelligence

Can AI Help Factories Lower Costs Enough To Survive The Coming Recession?

6 Min Read
online banking
Business Intelligence

Three Best Tools To Enhance Your Online Banking

9 Min Read
Data Driven Software Buying Decisions
Business IntelligenceDecision ManagementMarket Research

Data Driven Software Buying Decisions

16 Min Read

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

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?