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
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 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

ai in mobile monetization
Revenue Models for AI-Powered Mobile Apps
Accelerating “Contribution to your Business” Through DWI and BI
Big Data is Improving Personalization Models for Scalable Marketing Campaigns
Top 10 Excuses to Avoid Business Rules: #2 Business users don’t want it.
Is AI Disrupting the Field of Behavioral Change Marketing?

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

data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic
AI use in payment methods
AI Shows How Payment Delays Disrupt Your Business
Artificial Intelligence Exclusive Infographic
financial analytics
Financial Analytics Shows The Hidden Cost Of Not Switching Systems
Analytics Exclusive Infographic
multi model ai
How Teams Using Multi-Model AI Reduced Risk Without Slowing Innovation
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Top 10 Business Intelligence predictions for 2011

8 Min Read

Motorcycling and Business Intelligence

9 Min Read

Location Based Business Intelligence

0 Min Read
collected data use
Artificial IntelligenceBig DataBusiness Intelligence

What To Consider When Gauging The Effectiveness Of Collected Data

6 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?