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 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
    data analytics for trademark registration
    Optimizing Trademark Registration with Data Analytics
    6 Min Read
    data analytics for finding zip codes
    Unlocking Zip Code Insights with Data Analytics
    6 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

See the Future with Your CRM
What’s an IT Data Warehouse? And Why Do You Need One?
Data Management: Reaching Into the Cloud
Customer Service Queues – Fair, Fast or First?
Predictive Analytics, Present and Future: Interview with Dr. Eric Siegel

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

langgraph and genai
LangGraph Orchestrator Agents: Streamlining AI Workflow Automation
Artificial Intelligence Exclusive
ai fitness app
Will AI Replace Personal Trainers? A Data-Driven Look at the Future of Fitness Careers
Artificial Intelligence Big Data Exclusive
crypto marketing
How a Crypto Marketing Agency Can Use AI to Create Powerful Native Advertising Strategies
Blockchain Exclusive Marketing
data driven insights
How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Yellowfin: Top 14 Benefits of Business Intelligence (Part One)

0 Min Read

Platfora and the Foundation of Business Intelligence for Big Data

7 Min Read
big data trends 2013
AnalyticsBig Data

Four Off-the-Beaten-Path Big Data Predictions for 2013

8 Min Read

Spreadsheets: Use Them, Don’t Abuse Them

10 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
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?