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
    payment methods
    How Data Analytics Is Transforming eCommerce Payments
    10 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Beyond Predictive BI
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 Mining > Beyond Predictive BI
Business IntelligenceData MiningPredictive Analytics

Beyond Predictive BI

JamesTaylor
JamesTaylor
5 Min Read
SHARE

David Linthicum’s recent blog post Approaching Predictive BI made me want to reiterate some of my thinking around BI (on which I have a whole category) on my blog. I often talk about going “beyond BI” with decision management. I distinguish between BI and Decision Management because BI helps you understand your business while Decision Management helps you execute business. If BI is the bridge between your data and your strategies, DM is the bridge between your strategies and your operations. Other differences include:

  • BI provides insight on customers as groups, DM uses customer-level insight to identify the
    ideal action to take
  • BI tends to be a back-room, offline operation for knowledge workers while DM is embedded in operational systems and processes.
  • BI traditionally synthesizes past performance to aid in understanding while DM relies on predictive analytics to predict future behavior

I often write about this – check out Beyond BI to EDM (again) and If dashboards are the end game, kill me now… for example.

David makes a good point that our data is now ready for  us to move to a more …

More Read

Google Takes Another Step into BI
The Death of BIG Business intelligence
Can Big Data and Hadoop Feed the World?
Amazing AI-based Image Upscaler From VanceAI
Trends in Business Intelligence


Copyright © 2009 James Taylor. Visit the original article at Beyond Predictive BI.

Syndicated from ebizQ

David Linthicum’s recent blog post Approaching Predictive BI made me want to reiterate some of my thinking around BI (on which I have a whole category) on my blog. I often talk about going “beyond BI” with decision management. I distinguish between BI and Decision Management because BI helps you understand your business while Decision Management helps you execute business. If BI is the bridge between your data and your strategies, DM is the bridge between your strategies and your operations. Other differences include:

  • BI provides insight on customers as groups, DM uses customer-level insight to identify the
    ideal action to take
  • BI tends to be a back-room, offline operation for knowledge workers while DM is embedded in operational systems and processes.
  • BI traditionally synthesizes past performance to aid in understanding while DM relies on predictive analytics to predict future behavior

I often write about this – check out Beyond BI to EDM (again) and If dashboards are the end game, kill me now… for example.

David makes a good point that our data is now ready for  us to move to a more predictive mindset. As he says you

can model some future events, using historical data as the foundation
Predictive BI is all about determining what will happen versus what happened.

My favorite phrase in this context is that

Predictive analytics turn uncertainty about the future into usable probability

And this leads back to my point about Decision Management. If a predictive analytic model turns uncertainty about how a particular customer (or supplier or partner) will behave in the future into a usable probability then you can act based in part on that probability. In other words you can specify some rules that use the probability in deciding what action to take next. This kind of “intelligent” decision-making by systems is, I believe, the future.

I think that many folks over-estimate the value of making more information available – even if that information is predictive. No matter how easy you make it to consume the information you still assume that the person is able to put it in context and use it. I call this the “so what” problem:

  • My call center reps know how profitable each customer is when they call.
    So what? Does this change the cross-sell offer, the rules about letting them off charges or what?
  • My doctor has an electronic medical record of my entire history
    So what? Is she going to make a different treatment decision because of it? Will she have the time to read it all or be able to spot the crucial piece?
  • My insurance agent knows what natural disasters my house it at risk of
    So what? Is he going to know how to change my risk-based premium as a result?

Making information more readily available can be important but making better decisions based on it is what pays the bills. So go beyond predictive BI and start thinking about the decisions based on predictive BI.


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

payment methods
How Data Analytics Is Transforming eCommerce Payments
Analytics Big Data Exclusive
cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security
ai for making lyric videos
How AI Is Revolutionizing Lyric Video Creation
Artificial Intelligence Exclusive
intersection of data and patient care
How Healthcare Careers Are Expanding at the Intersection of Data and Patient Care
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Payola? There’s An App For That!

5 Min Read
ai is beneficial for making sounds business analytics insights
Analytics

Impressive Ways that AI Improves Business Analytics Insights

5 Min Read

Top 10 Root Causes of Data Quality Problems: Part 4

4 Min Read

The Keys to Discovery: Curiosity and Simple Tools

4 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
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?