data mining
-
Advanced analytics is being deployed in a range of use cases across business units and industries, especially as data types and volume increase. One of the top use cases for advanced analytics we see at TDWI is predictive analytics to understand customer or operational behavior. Statistical as well as machine learning models are used to
-
Today, I participated in a webinar with Actuate on the skills needed for business analysts to perform predictive modeling. This is a hot topic and there were hundreds of participants on the call. In my part of the presentation, I outlined some major trends in predictive analytics (including the fact that the tools are much easier
-
My new (and first!) TDWI Best Practices Report was published a few weeks ago. It is called Predictive Analytics for Business Advantage. In it, I use the results from an online survey together with some qualitative interviews to discuss the state of predictive analytics, where it is going, and some best practices to get there. You
-
The TDWI Big Data Maturity Model and Assessment is set to launch November 20th. Krish Krishnan and I have been working on this for a while, and we’re very excited about it. There are two parts to the Big Data Maturity Model and Assessment tool. The first is the actual TDWI Big Data Maturity Model
-
I am in the process of gathering survey data for the TDWI Predictive Analytics Best Practices Report. Right now, I’m in the data analysis phase. It turns out (not surprisingly) that one of the biggest barriers to adoption of predictive analytics is understanding how the technology works. Education is definitely needed as more advanced forms
-
I just listened to an interesting IBM Google hangout about big data called Visions of Big Data’s future. You can watch it here. There were some great experts on the line including James Kobelius (IBM), Thomas Deutsch (IBM), and Ed Dumbill (Silicon Valley Data Science). The moderator, David Pittman, asked a fantastic question, “What’s taking
-
It’s a good day. Our new book, Big Data for Dummies, is being released today and I’m busy working on a Big Data Analytics maturity model at TDWI with Krish Krishnan. Krish, a faculty member at TDWI, is actually presenting some of the model at the TDWI World Conference: Big Data Tipping Point taking place
-
I am excited to announce I’m a co-author of Big Data for Dummies which will be released in mid-April 2013. Here’s the synopsis from Wiley: Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as
-
While text analytics is considered a “must have” technology by the majority of companies that use it, challenges abound. So I’ve learned from the many companies I’ve talked to as I prepare Hurwitz & Associates’ Victory Index for Text Analytics,a tool that assesses not just the technical capability of the technology but its ability to
-
This week marks the one year anniversary of the IBM Watson computer system succeeding at Jeopardy!. Since then, IBM has gotten a lot of interest in Watson. Companies want one of those. But what exactly is Watson and what makes it unique? What does it mean to have a Watson? And, how is commercial Watson
Fern Halper's data makes the world go 'round 