In this podcast, Jim will discuss how best to leverage your company’s predictive investments. He’ll also lay out a high level framework to assess your predictive analytics maturity.

http://a964.g.akamaitech.net/7/964/714/6d0ce5e7ea5395/www.forrester.com/imagesV2/uplmisc/Kobielus_Predictive_Power_113009.mp3

By James Kobielus

Business is all about placing bets and knowing if the odds are in your favor.

As I noted in my most recent Forrester report, business success depends on your company being able to visualize likely futures and take appropriate actions as soon as possible. You must be able to predict future scenarios well enough to prepare plans and deploy resources so that you can seize opportunities, neutralize threats, and mitigate risks.

By Rob Karel

Last week Informatica announced the release of Informatica 9, its data integration/data management platform that continues to evolve its flagship PowerCenter and PowerExchange data integration and access technologies into a much more comprehensive data management platform going well beyond the scope of traditional, batch-oriented ETL that remains Informatica’s bread and butter.  

The three main themes Informatica has pitched for this release include:
- Pervasive Data Quality
- Business-IT Collaboration
- SOA-based Data Services

While these themes and capabilities - reusability, SOA-compatibility, real-time, business engagement - are not necessarily new to the broader data integration or data quality software markets, few organizations have been effectively able to execute on them.   For the purposes of this blog post, I’d like to focus a bit more on the DQ and business/IT collaboration parts of the announcement.