predictive analytic model

Take the Rexer Analytics Data Miner Survey!

The 2015 Rexer Analytics Data Miner Survey has launched. This survey is a great asset for the analytic and data mining community. Like many who look forward to the results I would like to ensure that the survey reaches a large and diverse group of analytic professionals, students and academics. The survey is for all […]

New Decision Management MarketScape from IDC

Brian McDonough has been writing (with Dan Vesset, Steve Hendrick, Henry Morris and others) on Decision Management at IDC for many years and he has recently published an IDC MarketScape: Worldwide Decision Management Software Platform 2014 Vendor Assessment. The report has an IDC MarketScape figure, IDC’s opinion on the Decision Management market, process and software as well as some […]

Next Week at PAW SF: Predictive Analytics in the Cloud – Use Cases and Trends

Predictive Analytics World in San Francisco is on next week. Come learn about our recent research on Predictive Analytics in the Cloud on March 18, 2014, 10:55 am, Salon 5/6 (Track 1: Industry Research). Use PAWSF14 to get a 10% discount.  Predictive analytics are the most effective way to put Big Data to work. Cloud technologies […]

Live Event: TDWI Solution Summit on Advanced Analytics

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 finally increasing for a number of reasons, including the economic climate, the availability of computing power, the growth in the amount and variety of data, and a greater appreciation for the power of analytics. Forward-looking companies are moving beyond BI—the slicing and dicing of data to produce reports and dashboards—to more advanced forms of analytics. These companies want to become more proactive to drive top- and bottom-line benefits. Among many use cases, they are using advan

Decision management and cloud as a platform for predictive analytics

The recording and presentation our recent webinar, “Decision Management and Cloud as a Platform for Predictive Analytics” is now available on slideshare and our OmNovia webinar channel. Decision management’s systematic embedding of predictive analytics into automated decision-making systems complements cloud technologies and maximizes the value of predictive analytics. [slideshare id=30685871&doc=decisionmanagementandcloudasaplatformforpredictiveanalytics-140131182435-phpapp01] Click here to watch the webinar.   […]

Clearly defined objectives for predictive analytic projects

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 […]

Build Your Big Data Analytics Capability with Decision Management

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 […]

Predictive Analytics in Software Part 4: Land and Expand

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 […]

Predictive Analytics in Software Part 3: Automation that Scales

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 […]

Predictive Analytics in Software Step 2: Focusing on Automation

Once you have identified decisions that could usefully be improved by predictive analytics you must develop predictive analytic models for each decision. Each decision is going to require a different predictive analytic model, perhaps several. Some predictive analytic models, such as predicting the future value of a customer for instance, may be useful in multiple […]