Fern Halper's data makes the world go 'round
the big wide world of data and analytics
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… Continue reading How mature is your advanced analytics program?
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… Continue reading Three entry points for big data initiatives
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… Continue reading Big Data’s Future/Big Data’s Past
Predictive analytics, a technology that has been around for decades has gotten a lot of attention over the past few years, and for good reason. Companies understand that looking in the rear-view mirror is not enough to remain competitive in the current economy. Today, adoption of predictive analytics is increasing for a number of reasons… Continue reading Five Trends in Predictive Analytics
Last week I had the unfortunate experience of trying to deal with American Airlines regarding some travel arrangements via its Advantage help desk. I literally spent hours on the phone trying to get to the right person. I won’t bore you with the details of my experience, however I did want to talk about how… Continue reading Closing the loop in customer experience management: When it doesn’t work
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… Continue reading Two Big Data Resources Worth Exploring
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… Continue reading Two Weeks and Counting to Big Data for Dummies
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… Continue reading Five Challenges for Text Analytics
I just started writing a blog for AllAnalytics, focusing on advanced analytics. My first posting outlines five use cases for text analytics. These include voice of the customer, fraud, warranty analysis, lead generation, and customer service routing. Check it out. Of course there are many more use cases for text analytics. On the horizontal solutions… Continue reading Five reasons to use text analytics
Next up in my discussion on big data providers is SAS. What’s interesting about SAS is that, in many ways, big data analytics is really just an evolution for the company. One of the company’s goals has always been to support complex analytical problem solving. It is well respected by its customers for its ability… Continue reading Four Vendor Views on Big Data and Big Data Analytics Part 2- SAS
Fern Halper's data makes the world go 'round 