text mining

Karl Rexer just published his summary of this year’s Rexer Data Mining survey. As always there’s lots of good information but here are my favorite takeaways: As in our own work on Predictive Analytics in the Cloud, the survey fond that a focus on customers and on customer experience/engagement was top of mind. CRM/Marketing is [...]

Jason Verlen and Bernard Spang took one of the breakout sessions on analytic innovations. IBM, as noted yesterday, sees a progression of analytics from descriptive to predictive, prescriptive and ultimately cognitive. The purpose, of course, of big data and analytics is to drive better decisions. Managing big data is a necessary step but acts only [...]

I have previously written about Angoss and its products (most recently this post on their 7.5 release) and recently got an update. As a company Angoss is focused on delivering data mining and predictive analytics to improve performance in sales, marketing and risk. They have a set of products for desktop, client/server and cloud-based and [...]

Rexer Analytics have just released the results of their 2011 survey – the 5th annual one, answered by over 1,300 data miners from 60 countries in the first have of 2011. The survey continued to show that CRM/Marketing, Financial and Insurance are the major commercial focus areas for data mining. It also reiterated the top [...]

Rapid-I provides open source software for predictive analytics, data mining and text mining. Incorporated in 2006, they are based in Dortmund Germany and have been working on RapidMiner since 2001. They have over 35,000 production deployments and more than 400 customers in 40 countries. Banking and financial services is their largest market followed by Pharma [...]

Fuzzy Logix is an advanced analytics software solution and services company headquartered in Charlotte North Carolina, with offices in Cupertino California, Richmond, Virginia and distribution channels throughout the world. Fuzzy Logix provides an in-database analytics solution, supporting both in-database model construction and in-database scoring.  They also offer in-GPU solutions, which allow users to access potentially [...]

Dymatrix started in 2000 as a spinout from Computer Sciences Corporation. Focused on analytical CRM and campaign management they have done many projects and identified a number of challenges in the use of predictive analytic models. They have customers across utilities, retail, telecommunications, banking, insurance and life sciences. This work led to the development of [...]

My eye was drawn to an article in the New York Time last week – For $2 a Star, an Online Retailer Gets 5-Star Product Reviews.  This article drew attention to the ongoing and growing problem of fake reviews. Like many of us I increasingly rely on reviews on sites like amazon.com or yelp.com to [...]

I got an update from Oracle on Oracle Data Mining (ODM) recently. ODM is an in-database data mining and predictive analytics engine that allows you to build and use advanced predictive analytic models on data that can be accessed through your Oracle data infrastructure. I blogged about ODM extensively last year in this First Look [...]

I am interviewing Sid Probstein of Attivio as part of the Virtual Circle Briefing Room series on Tuesday February 15th at 4PM ET. Attivio will be talking about their unstructured text analytics capabilities and we’ll talk about how you can bring structured and unstructured data together for better analytics. Q&A with the twittersphere too. This [...]

One of the most powerful ways to apply advanced analytics is by putting them to work in operational systems. Using analytics to improve the way every transaction, every customer, every website visitor is handled is tremendously effective. The multiplicative effect means that even small analytic improvements add up to real business benefit. In this session [...]

David McMichael of MetLife came next. MetLife Auto and Home is a mid size P&C insurance arm within the overall MetLife group. David runs the Quantitative Research and Modeling team within the actuarial department. Team has grown over the last few years with a diverse set of people, something they find very valuable and expanded [...]

Mark Hornick of Oracle’s Data Mining Technologies Group presented on the use of the Oracle Data Mining technology to drive recommendations at Oracle OpenWorld (OOW). The challenge in a show like Oracle OpenWorld is that there are thousands of sessions and attendees need help finding the sessions that will match their interests. Three groups were [...]

I got my first chance to catch up with the folks at Cloudera recently. Founded in 2008 Cloudera has nothing really to do with “cloud” and focuses instead on “big data” – helping organizations capture, integrate and analyze new sources of detailed business data. Cloudera like to describe themselves as the RedHat for Hadoop – [...]

I got a chance to chat with some folks from SAS about their text analytics. SAS’ Business Analytics framework contains an Analytics component and within this exists a set of products from SAS such as Enterprise Miner and Model Manager as well as a set of capabilities like Operations Research, Forecasting and Text Analytics. The [...]

Syndicated from BeyeNetwork I recently got the survey results from the annual data mining survey that Karl Rexer of Rexer Analytics runs. You can get the summary here or the full results from Karl but here are my thoughts: Data mining is everywhere. The most cited areas are CRM / Marketing and Financial Services with [...]

Dean Abbott of Abbott Analytics presented on the induction of business rules having become, he said, reacquainted with and convinced of the value of business rules alongside data mining (something, of course, I would strongly support). The particular problem was a call center help desk in which text mining was used to find the rules [...]

John Elder, one of my favorite presenters, introduced a series of customer stories around text mining/text analytics. He calls this "the wild west" of analytics with lots of startups and innovation. He points out that these kinds of analytics must be designed to complement human capabilities, not least because the human brain is good at [...]