real-time

Responding in real-time: video and white paper

I recently completed some research on responding in real-time, discussing the need for both event processing and decision management in a solution. The research was sponsored by Oracle and you can see the video below:

The white paper is here (registration required).

Cross-posted from JTonEDM.

March 17 ASM Web Training Discount: Nurture Customer Loyalty With Personalized Messages and Channel Alignment

Web Training, Association of Strategic Marketing March 17, 2014 at 1:00 pm ET Because James is a faculty member , you can receive 50% off the fee. When registering, use priority code 15999 and discount code Q4573634. Register here. More customers are using more channels and with the growth in mobile and other automated channels […]

Upcoming Webinar: Responding in Real-Time

Responding in Real-Time Tuesday, March 25, 2014 10:00 AM PDT / 1:00 PM EDT High-volume, high-speed front-line decisions must increasingly be made in real-time with big data and analytics that are actionable and operational. Come to this webcast to hear James Taylor, CEO of Decision Management Solutions in this webinar hosted by Oracle discuss his […]

Upcoming Training: Nurture Customer Loyalty With Personalized Messages and Channel Alignment

March 17, 2014 1:00 pm ET Register now for this upcoming live webinar training on how to Nurture Customer Loyalty With Personalized Messages and Channel Alignment. The webinar is hosted by ASM, the Association of Strategic Marketing. More customers are using more channels and with the growth in mobile and other automated channels it’s challenging to […]

Standards in Predictive Analytics: R

The third post in my series on standards in Predictive Analytics is on R, a hot topic in analytic circles these days. R is fundamentally an interpreted language for statistical computing and for the graphical display of results associated with these statistics. Highly extensible, it is available as free and open source software. The core environment provides standard programming capabilities as well as specialized capabilities for data ingestion, data handling, mathematical analysis and visualization. The core contains support for linear and generalized linear models, nonlinear regression, time series, clustering, smoothing and more. The language has been in development and use since 1997 with the 1.0 release coming in 2000. The core is now at release 3.0. New capabilities can be added by creating packages typically written in the R language itself. Over 5,000 packages have been added through the open source community.

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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 […]

New Research Results To Be Announced Tuesday for Predictive Analytics in the Cloud in the Era of Big Data

Results from our recent survey and research will be announced this Tuesday, October 22, 2013 in this complimentary web seminar, “Predictive Analytics in the Cloud: Opportunities, Trends and the Impact of Big Data” hosted on Information Management. Early survey results show a significant increase in both the adoption of predictive analytics in the cloud and […]

More results from our Predictive Analytics in the Cloud survey

A couple of weeks ago I posted a sneak peek of some of the results from our survey on Predictive Analytics in the Cloud. With a week to go until the results webinar over on Information Management I thought I would post a few more. If you want to see the webinar or a recording of it, […]

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 […]

Embedding predictive analytics in your software product: A series

Everyone knows that enterprise software is an intensely competitive business. Today “Big Data” and “Analytics” are two of the hottest topics in organizations of any size and  as companies race to invest in this new space, product managers must find ways to respond. The functionality of enterprise software products must be extended to include new analytic […]