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Live Event: TDWI Solution Summit on Advanced Analytics

I am co-chair, with Fern Halper,of the TDWI Solution Summit: Beyond BI to Advanced Analytics for Business Advantage in San Diego, June 1-3.

Business analytics has become an important new trend for companies that want to be competitive—and stay that way. While certain kinds of advanced analytics have been on the market for decades, adoption is finally increasing for a number of reasons, including the economic climate, the availability of computing power, the growth in the amount and variety of data, and a greater appreciation for the power of analytics. Forward-looking companies are moving beyond BI—the slicing and dicing of data to produce reports and dashboards—to more advanced forms of analytics. These companies want to become more proactive to drive top- and bottom-line benefits. Among many use cases, they are using advan

Share your thoughts on advanced analytics

Hurwitz & Associates will update their Victory Index on Advanced Analytics in 2014. This report will summarize key trends in advanced analytics, provide information on vendor offerings, and report on vendor strengths and weaknesses from an end user perspective. In order to help guide end users who are making a decision on selecting an advanced analytics vendor, they would like to include feedback from current users. So, if you are a user of advanced analytics for use cases such as predicting consumer behavior, churn analysis, fraud analysis, predicting equipment failure, and reducing risk, they would really like to hear what you think. To help them understand how a broad group of users of advanced analytics solutions rate the capabilities and benefits of the products they use, go to surveymonkey.com/s/HurwitzVictoryIndexdecman and let them know.

And don’t forget you can see my revi

Standards in Predictive Analytics: A White Paper

To wrap up the series I have been writing on standards in predictive analytics, here’s the report I have been working on. This report discusses each of the topics in the series – R, Hadoop and PMML – in more detail and pulls it all together in a single paper. You can get the Standards in Predictive Analytics  paper here.

Thanks to our sponsors for this research, Revolution Analytics, Zementis and the Data Mining Group.