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Industry : IT Products Functional Area : Application Software
Activity:  5 comments  589 views  last activity : 07 06 2010 20:18:04 +0000
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I find that data mining and predictive analytics fall into the same category--they are the same basic technology but described from different perspectives.

Predictive analytics is a term I see more in the CRM and database worlds. Perhaps some of this is due to the encroachment of BI into the data mining world, where queries and OLAP are sometimes called data mining (after all, you are "drilling" down into the data!). This would necessitate creating further distinctions in terminology.

However, I don't see data mining losing hold on the style of predictive modeling that is largely empirical and data driven.

Although we have heard many times that predictive analytics will optimize our marketing campaigns, it's hard to envision, in more concrete terms, what it will do. This makes it tough to select and direct analytics technology. How can you get a handle on its functional value for marketing, sales and product directions without necessarily becoming an expert?

Predictive analytics builds models automatically, but the overall business process to direct and integrate predictive analytics is by no means automatic - it truly needs your marketing expertise.

A careful combination of predictors perform better customer prediction by considering multiple aspects of our customers and their behaviors. Predictive analytics finds the right way to combine predictors by building a model optimized according to our customer data.

Read on this interesting article to know more...

 Top Comment : Arijay Chaudhry   | 05 15 2009 04:50:33 +0000
For Predictive analytics, the best algorithms are those embedded into the IDASM. The systems undergoes over 85000 calculations per time-series and uses triangular and sinusoidal functions. The algorithm is considered to be 20% more accurate than most conventional technologies available from the major vendors. The system can provide the analysis on pack, product, manufacturer, division, city, area, zone, Ringitt, Rupee, Dollar, Units all in one go. The system therefore allows multiple hierarchies of data to be included for predictive analysis. Check out www.idasm.net or write to parag@idasm.net, arijay@idasm.net or admin@idasm.net
 
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5 comments on " Data Mining and Predictive Analytics"
  Commented by  Radhakrishna Marar, Business Analyst, Oracle    | 05 26 2009 10:31:41 +0000
Nice insight maneesh..and nice insight from shashikant also...thanks for sharing.
  Commented by  Shashikant Brahmankar, Sr Manager    | 05 25 2009 18:22:46 +0000
Rating : +1 
Very good discussion point... often neglected by the majority...
Some clarification needed here.

1. data mining and predictive analytics fall into the same category - No. Two different things. Crudely, data mining is equivalent to data exploration.
2. data mining (after all, you are "drilling" down into the data!)..... this is perfect. True. Question - how does one drill down or find or explore? Plenty of different approaches. As suitable to an analyst. End-result would be expected to get to the same outcome or close to one. 
3. Automatically building predictive models - and putting across predictions..... can work only in cases of repeatitive processes. Else, not recommended. It will invariably end up in "garbage-in-garbage-out" situations... no matter which tools are used.

Thanks for reading.
Shashikant
  Commented by  Arijay Chaudhry, CEO, Strategic Intelligence Services    | 05 15 2009 04:50:33 +0000
Rating : +1 
For Predictive analytics, the best algorithms are those embedded into the IDASM. The systems undergoes over 85000 calculations per time-series and uses triangular and sinusoidal functions. The algorithm is considered to be 20% more accurate than most conventional technologies available from the major vendors. The system can provide the analysis on pack, product, manufacturer, division, city, area, zone, Ringitt, Rupee, Dollar, Units all in one go. The system therefore allows multiple hierarchies of data to be included for predictive analysis. Check out www.idasm.net or write to parag@idasm.net, arijay@idasm.net or admin@idasm.net
  Commented by  Adrian Hoe, Software Developer, AdaStar Informatics    | 04 03 2009 17:17:58 +0000
That's a nice piece. I am looking at predictive analytics to increase the value of data for my client.
  Commented by  Samir Nigam, Sr. Software Engineer , SRM TECHSOL Pvt. Ltd.    | 07 28 2008 05:01:16 +0000
nice.
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