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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Part 4 of “4 Ways to Change Our Approach to BI Development”
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 > Part 4 of “4 Ways to Change Our Approach to BI Development”
Business Intelligence

Part 4 of “4 Ways to Change Our Approach to BI Development”

RickSherman
RickSherman
3 Min Read
SHARE

Change-fishbowlThis is the fourth post in my series on changing our approach to BI development.

Contents
  • IT needs to concentrate on creating an information backbone
  • Conclusion of the series

Change-fishbowlThis is the fourth post in my series on changing our approach to BI development.

In order to break the BI backlog, move towards more pervasive BI and increase the BI business ROI, an enterprise needs to make fundamental changes to their BI efforts. These changes are interrelated and necessary for success.

For an enterprise to truly experience a BI breakout, here are four of the things we should do differently:

More Read

cloud computing
Why your Cloud Strategy Should Include Multiple Vendors
BI’s Dirty Secrets – Why Business People are Addicted to Spreadsheets
Data Science And Robotics: The Next Big Area Of Study?
Experience vs. Data: Consuming Mark Zuckerberg as Data
Enter Nanosolar, a San Jose-based start-up that manufactures…
  1. Business people need to be given BI tools that enable self-service BI  (see previous post on this)
  2. Triage business requests for new BI deliverables such as dashboards, reports, cubes  (see previous post on this)
  3. Establish hybrid BI development methodology (see previous post on this)
  4. IT needs to concentrate on creating an information backbone (explained below)

 

IT needs to concentrate on creating an information backbone

No matter what the BI request, the right business information needs to be available.  That does not mean that all you need to do is to grant a business person access to a database. Comprehensive, consistent, conformed, clean and current data does not happen without Enterprise Information management (EIM).

Once the information is in order, then business people can plug into the information backbone through many BI tools such as data discovery, data visualization, ad-hoc query, dashboards, scorecards, OLAP analysis, predictive analytics, reports and spreadsheets (sorry Excel haters, but you can if you practice EIM.) An enterprise data demands are ever expanding and evolving – meaning that the information backbone is likewise expanding. This often requires data integration, data cleansing, data profiling and, most importantly, data governance.

Conclusion of the series

A BI tool is only as good as the business information it can access and analyze. Although business people can get really excited by many of the terrific BI tools in the marketplace, once they settle into using a tool they will not care how slick it is if the numbers are not right.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Stop Words for Social Media Analytics

7 Min Read

Spotlight on Innovation

2 Min Read

What do I want my Epitaph and Legacy to Be?

3 Min Read
Image
AnalyticsBig DataBusiness IntelligenceData MiningData QualitySocial Data

The Alibaba, Amazon, and eBay Way to Black Friday Success

9 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?