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 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 … Continue reading Deathtrap: Overlearning in Predictive Analytics
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
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 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
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 … Continue reading Are you ready for IBM Watson?
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
Today, SAP and NetBase announced that SAP will resell NetBase solutions as the SAP® Social Media Analytics application by NetBase. What does this mean? According to the announcement: “SAP Social Media Analytics is a cloud-based solution that is able to process more than 95 million social media posts per day. It uses an advanced natural … Continue reading SAP moves to social media analysis with NetBase partnership
For more years than I like to admit, I have been focused on the importance of managing data so that it helps companies anticipate changes and therefore be prepared to take proactive action. Therefore, as I watched the market for predictive analytics really emerge I thought it was important to provide customers with a holistic … Continue reading The Inaugural Hurwitz & Associates Predictive Analytics Victory Index is complete!