predictions

Sometimes people talk about the value of data mining or predictive analytic modeling coming from “aha moments”, where the analytics deliver some piece of dramatic insight that enables a company to see some fantastic new market opportunity or fundamentally change the way it does something. This is only a small part of the story. The [...]

I got a chance to catch up with 11Ants Analytics recently. 11Ants Analytics is a spin-off out of the University of Waikato (the source of the WEKA project), and has commercialized technology for automating the production of predictive models. The technology was inspired by research at Waikato – a leading center for machine learning.. 11Ants [...]

IBM sees Social Media Analytics as part of Customer Analytics rather than as a separate category – the reason for analyzing social media is to better understand customers and what they are thinking. It is not enough, says IBM, to understand and analyze social media. This understanding must be integrated with other kinds of analytics [...]

IBM recently surveyed CIOs as part of their ongoing CxO research. This was the second time they did this – 2009 was the first. They just released the results of their analysis of the 3,000 interviews they conducted in 71 countries. The results are summarized in the body of the post along with some Decision [...]

Some time ago I wrote piece about Talent Analytics. After some discussions with them I realized that my thinking about talent or HR analytics has been too limited. Sure, I have seen how it might help with the kind of recruiting, team management and merger assessments that Talent Analytics does. But Talent Analytics made the [...]

G-Stat is a privately held Israeli company focused on advanced analytical and data mining solutions. The founder of G-Stat began his career as an econometrician, focusing on large time-series data initially. Then he worked at the Bank of Israel in IT helping translate what the economists and others needed into information systems. He rapidly became [...]

I have been doing more thinking about optimization recently and thought I should get caught up with the OR (Operations Research) folks at SAS to see what they are doing. They see OR technologies as part of the overall analytics spectrum and feel that anything that improves the rigor of decision making without unduly constraining [...]

Toovio was founded by a group of ex-database marketers who have extensive consulting and implementation experience with various marketing, decision management, and analytics products. Their backgrounds in real-time/database marketing in terms of analytics, building tools and using existing products has led them to develop their own solution. What they call their “Service-as-a-Service” (I would call [...]

I have been thinking about IBM’s Watson for a while now. I met some of the team very early in their development and here we are today with Watson slugging it out on TV. To do this it must decompose the question, generate multiple hypotheses and then score them before synthesizing an answer and associated [...]

I got an update from the folks at FICO on the new release of Model Builder, their predictive analytics workbench. My last update was for Blaze Advisor 6.9 and Model Builder 7.0 and this release, Model Builder 7.1, is the first point release for Model Builder on the new 7.x platform. For those of you [...]

Helm Interaction Management is a new company, founded in 2009, and focused on solutions related to inbound marketing and customer interaction management.  Helm has developed a suite of inbound marketing products designed specifically for the cloud. With Market Helm™ business users can quickly create and deploy very targeted messages into any customer- or agent-facing application. [...]

As part of the build up to today’s tweet jam on advanced analytics, Jim Kobelius discussed some of the questions they are planning to use in a blog post – Advance your analytics strategy. There’s a lot of good stuff in the article but I do have to take issue with a few things. First, [...]

I am a faculty member of the International Institute for Analytics and participated in the recent call to discuss some of our predictions for 2011. Quite a few of the faculty were on the call – Tom Davenport, John Elder, Bill Franks, Jeanne Harris, Anne Milley, Niel Nickolaisen, Jeremy Shapiro and me. If you haven’t [...]

I am going to be participating in the International Institute for Analytics Office Hours call for December on predictions of for the coming year. Each member of the faculty will discuss what they see happening in their specific areas of focus. Topics include: How will the modest economic growth predictions for 2011 impact the use [...]

Syndicated from Smart Data Collective I often hear people talk about analytics, especially advanced analytics like data mining or predictive analytic modeling, as though the value comes from “aha moments”. Sudden moments of clarity, defining moments, where the analytics deliver some piece of dramatic insight that enables a company to see some fantastic new market [...]

The Oracle Real Time Decisions (RTD) roadmap began with a quick review of Oracle RTD (see my earlier post on the role of RTD in e-commerce) – an analytical decision service that sits between the operational and analytic applications of an organization so that operational business processes can be analytically enhanced. Crucially it combines prescriptive [...]

I got a briefing from BEZ recently, after Claudia Imhoff (@claudia_imhoff) referred them to me. BEZ has historically worked on the IT side of organizations, using predictive analytics to take historical data about system performance and transactions and use it to predict application response times, throughput, utilization of resources etc. BEZ compares itself to a [...]

I caught up with DataInfoCom recently – a research-oriented software company headquartered in Austin, Texas. Their focus is on what they call Predictive Decision Management. Their software product, OSMOSYS, delivers predictive decisioning over the Internet – Decisions as a Service or DaaS as I call it. Their customers include a couple of well known, Fortune [...]

Syndicated from ebizQ Lots of articles talk about the need to provide BI and analysis on mobile devices. And lots of enterprise applications want to “mobilize” themselves. But I don’t see it. I don’t think employees want to do BI on a smartphone or even data mining on an iPad. Nor do they just want [...]