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
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
    data driven risk management in heatlhcare
    How Data Analytics Is Changing Healthcare Risk Management
    17 Min Read
    big data and customer service outsourcing
    How Data Analytics Improves Customer Service Outsourcing
    18 Min Read
    How a Specialized Marketing VA Improves Campaign Analytics
    How a Specialized Marketing VA Improves Campaign Analytics
    11 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: BI Giant has Clay Feet
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 Warehousing > BI Giant has Clay Feet
Business IntelligenceData Warehousing

BI Giant has Clay Feet

DougLautzenheiser
DougLautzenheiser
3 Min Read
SHARE

Jean-Michel Franco opens his Information Management’s March 2009 Special Report by pointing out a problem with today’s corporate BI usage:

It took more than 30 years for BI to reach maturity, a little longer than it took for other key components like enterprise resource management and customer relationship management. But whilst the latter have seen the creation and redesign of entire information system landscapes in a big-bang mode, BI investments have taken place in a gradual and often ad hoc manner. In spite of unifying concepts such as the data warehouse, each decision support project often generated its own tools and selection of service providers, architectures, data models and standards. As a result, despite the fact that BI and performance management represent more than 10 percent of the typical IT budget, it can be compared to a giant with clay feet: strong footprint, but sparse foundations.

While uncoordinated, decentralized Business Intelligence implementations and usage may not have been an issue in the past, Franco says that has changed — BI now provides companies with mission-critical functionality that requires centralized strategy and management…


Jean-Michel Franco opens his Information Management’s March 2009 Special Report by pointing out a problem with today’s corporate BI usage:

It took more than 30 years for BI to reach maturity, a little longer than it took for other key components like enterprise resource management and customer relationship management. But whilst the latter have seen the creation and redesign of entire information system landscapes in a big-bang mode, BI investments have taken place in a gradual and often ad hoc manner. In spite of unifying concepts such as the data warehouse, each decision support project often generated its own tools and selection of service providers, architectures, data models and standards. As a result, despite the fact that BI and performance management represent more than 10 percent of the typical IT budget, it can be compared to a giant with clay feet: strong footprint, but sparse foundations.

While uncoordinated, decentralized Business Intelligence implementations and usage may not have been an issue in the past, Franco says that has changed — BI now provides companies with mission-critical functionality that requires centralized strategy and management.

More Read

A reader asks – how to document decision logic
SmartData Collective
Low-Cost Usability Testing: Why and How
Google Data, Statistics, and the Semanticized Web
Big Data Analytics: Think Differently To Maximize Value

Franco urges companies to “review and streamline their decision support architecture” and define “a cohesive BI roadmap.” As part of the strategy, Franco recommends establishing a corporate team dedicated to Business Intelligence.

Read Franco’s whole report at Information Management’s website and, if you have not already read it, see my blog on establishing good BI foundations.

TAGGED:bibusiness intelligence
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

chatgpt image jul 13, 2026, 04 19 58 pm
Can AI Help Companies Improve PPC Fulfilment?
Artificial Intelligence Exclusive
chatgpt image jul 13, 2026, 04 14 54 pm
How AI Helps Companies Adapt to Fulfillment Strategy Changes
Artificial Intelligence Exclusive
chatgpt image jul 13, 2026, 03 59 46 pm
How Data Analytics Improves Multi-Location Search Strategies
Analytics Big Data Exclusive
Turning Monitoring Data Into Customer-Facing Incident Communication
Turning Monitoring Data Into Customer-Facing Incident Communication
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Decision Management versus Business Rules

5 Min Read

Please check out the Text Analytics Summit, Boston, June 12-13

2 Min Read

BI 2010 – Making BI more strategic

4 Min Read
business intelligence trends to watch
Business IntelligenceExclusive

6 Business Intelligence Trends to Watch For in 2019

8 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 chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

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?