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predictive analytic model

IBM has made significant investments in the mobile market in recent years. Various acquisitions and internal development efforts have resulted in a portfolio of product and service offerings under the banner of IBM MobileFirst. IBM recently summarized the state of the mobile market and its MobileFirst portfolio for analysts. It’s worth noting up front that [...]

I am co-chair, with Fern Halper,of the TDWI Solution Summit: Beyond BI to Advanced Analytics for Business Advantage in San Diego, June 1-3. Business analytics has become an important new trend for companies that want to be competitive—and stay that way. While certain kinds of advanced analytics have been on the market for decades, adoption is [...]

I have been interviewing analytic practitioners periodically – last year I interested Andrea Scarso, CEO of MoneyFarm and more recently I interviewed Tracy Allison Altman, co-founder of Ugly Research.  Next up is Nauman Sheikh, a seasoned professional of Data & Analytics. Nauman was introduced to me by a client who really liked his book Implementing Analytics: A [...]

I first got a briefing on Dulles Research Carolina back in 2010 and I recently got an update. Dulles Research was founded in 2005 and came to market with Carolina, their SAS to Java convertor, in 2009. A U.S. patent was awarded to Dulles last year for the SAS to Java conversion process. At its [...]

In this series so far we have discussed a number of standards – R, PMML and Hadoop – that are well established. There are also some future developments that are worth considering—the emergence of the Decision Model and Notation standard, growing acceptance of Hadoop 2 and planned updates to PMML specifically. As regular readers of [...]

With the fourth post in this series I am going to talk about Hadoop – something with even more hype than R or predictive analytics. As we all know the era of Big Data has arrived. As anyone who reads the IT or business press knows, there is more data available today,  this data is no longer [...]

Continuing my series on standards in Predictive Analytics I am going to talk first about PMML. PMML is an XML standard for the interchange of predictive analytic models developed by the Data Mining Group. The basic structure is an XML format document that contains a header, a data dictionary, data transformations and one or more models each [...]

I am working on a paper, for publication in early 2014, on the role of standards such as R, Hadoop and PMML in the mainstreaming of predictive analytics.  As I do so I will be publishing a few blog posts. I thought I would start with a quick introduction to the topic now and then [...]

First Look: Valen InsureRight

Valen Analytics has been around since 2004 and is focused on providing proprietary data, analytics and predictive modeling to the Property and Casualty market with 25 customers in production. To help carriers manage and segment their portfolios to drive underwriting profitability, Valen develops productized models based on pooled consortium data for carriers. Valen’s InsureRight platform [...]

First Look: Revolution Analytics 7

In the 9 months or so since I last wrote about Revolution Analytics they have released a new version of Revolution R Enterprise 7. This is focused on delivering “Write once deploy anywhere.” R, of course, continues to expand in popularity with the recent Rexer Data Mining survey (reviewed here) putting the percentage of data [...]

Rexer Data Mining Survey 2013

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 [...]

First Look: i4C Analytics

i4C Analytics is focused on delivering advanced analytic applications for specific industries and business decisions. These packaged analytic applications apply predictive analytics in real-time in a highly automated environment. The applications use automated analytic model creation as well as allowing data scientists and predictive analytic professionals to integrate their own models to solve the business problems [...]

There was a great article in Predictive Analytics Times recently by my friend Dean Abbott – A Good Business Objective Beats a Good Algorithm. Dean, like me, talks about the importance of the “three legged stool” of business, analytics and IT. But it was the title that particularly struck me. As Dean says, it’s easy to [...]

I recently gave a webinar on the results of our Predictive Analytics in the Cloud research (you can watch a replay here on Information Management). During the webinar we had some great questions and, as I did not get to all of them, I promised to write a blog post to address them. Meanwhile the [...]

The old way: Big data is a hot topic. Big Data was coined as a term by Gartner to mean data that has Volume (more data), Variety (of many types) and Velocity (that arrives more rapidly). Value is extracted from big data using advanced analytics such as data mining and predictive analytics. This data can [...]

I am giving a webinar on Predictive Analytics in the Cloud 2013 – Opportunities, Trends and the Impact of Big Data with Information Management, October 22 at 9am ET. Are you using or considering using predictive analytics in the cloud to improve your business? Is the growth in big data impacting your decision? Predictive analytics and [...]

This is the last week for our 2013 survey on Predictive Analytics in the Cloud – Use Cases, Trends and Big Data.  Please go right now and take the survey here – it’s quick , anonymous and you have a chance to win a $100 Amazon gift card. There’s been tremendous growth cloud and predictive analytics both [...]

Most software products have multiple opportunities for using predictive analytics to enhance decision-making. Because the use of predictive analytics is new for many software companies, and because handling decisions explicitly is also new, care must be taken not to bite off too much at once. A land and expand strategy that begins with a localized [...]

We would really like your input for our 2013 survey on Predictive Analytics in the Cloud – Use Cases, Trends and Big Data. Back in 2011 we did a survey and associated research on the use of predictive analytics in the cloud. While it may not seem like that long ago, back then predictive analytics was [...]

For a software company it is also important that this automation scales appropriately. In particular any automated analytic model development tool you use should provide flexibility in deployment to match your own, manage any variability between your customers’ data models and be easy to deploy, focused on the “last mile” of analytic model development. For most [...]