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 for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 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

IT: Get the Emphasis on the Right Word (Hint: It’s not the ‘T’)
The cloud’s communications with its clients will become ever…
Definition of Social CRM – Explained!
A Brazen Expose on Big Data in the Government Sector
Situational Intelligence: Not Just Another Fancy Term

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

dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News
data analytics for pharmacy trends
How Data Analytics Is Tracking Trends in the Pharmacy Industry
Analytics Big Data Exclusive
ai call centers
Using Generative AI Call Center Solutions to Improve Agent Productivity
Artificial Intelligence Exclusive
warehousing in the age of big data
Top Challenges Of Product Warehousing In The Age Of Big Data
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Image
Uncategorized

Does the Future Lie with Embedded BI?

8 Min Read

Business Intelligence Foundations

10 Min Read

Free BI for Higher Ed

5 Min Read

My 3 Wishes from the Marketing Genie

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.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?