Posted on April 15, 2013 by fbhalper
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 during the first week of May (see sidebar). I would encourage people to attend, even if you aren’t that far along in your big data deployments. TDWI has terrific courses in all aspects of information management and we understand that most companies will need to leverage their existing infrastructure to support big data initiatives. In fact the title of this World conference is, “Preparing for the Practical Realities of Big Data.” Check it out.
Back to the book. Here’s a look at the Introduction! Enjoy!
Filed under: advanced analytics, Big Data, Business Analytics, Data Governance, data mining, Text Analytics, Uncategorized | Tagged: #bigdatadummies, analytics, big data for dummies, Hurwitz, tdwi | Leave a Comment »
Posted on February 14, 2013 by fbhalper
It’s been a while since I updated my blog and a lot has changed. In January, I made the move to TDWI as Research Director for Advanced Analytics. I’m excited to be there, although I miss Hurwitz & Associates. One of the last projects I worked on while at Hurwitz & Associates was the Victory Index for Text Analytics. Click here for more information on the Victory Index.
As part of my research for the Victory Index, I spent I a lot of time talking to companies about how they’re using text analytics. By far, one of the biggest use cases for text analytics centers on understanding customer feedback and behavior. Some companies are using internal data such as call center notes or emails or survey verbatim to gather feedback and understand behavior, others are using social media, and still others are using both.
What are these end users saying about how to be successful with text analytics? Aside from the important best practices around defining the right problem, getting the right people, and dealing with infrastructure issues, I’ve also heard the following:
Best Practice #1 - Managing expectations among senior leadership. A number of the end-users I speak with say that their management often thinks that text analytics will work almost out of the box and this can establish unrealistic expectations. Some of these executives seem to envision a big funnel where reams of unstructured text enter and concepts, themes, entities, and insights pop out at the other end. Managing expectations is a balancing act. On the one hand, executive management may not want to hear the details about how long it is going to take you to build a taxonomy or integrate data. On the other hand, it is important to get wins under your belt quickly to establish credibility in the technology because no one wants to wait years to see some results. That said, it is still important to establish a reasonable set of goals and prioritize them and to communicate them to everyone. End users find that getting senior management involved and keeping them informed with well-defined plans on a realistic first project can be very helpful in handling expectations.
for more visit my tdwi blog
Filed under: Uncategorized | Tagged: advanced analytics, best practices, tdwi, Text Analytics, text mining | Leave a Comment »