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analytic model

A few months back, Scott Adams posted a great Dilbert that I have been meaning to write about for a while (click on the image to see the original). In the strip, Dilbert says “You don’t go to war with the data you need. You go to war with the data you have.” Now Scott [...]

COVID-19 is driving a new normal in which resources must be allocated and managed more dynamically.

First Look – Frontline Solver

Frontline Solvers has been in business for over 25 years and focused on democratizing analytics for the last five years. They identify themselves as an alternative to analytic complexity with a focus on leveraging broadly held Excel skills and a large base of trained students. They offer several products for predictive and prescriptive analytics and [...]

I blogged last week about IBM’s AI approach and one piece was still under NDA – new capabilities around trust and transparency. These capabilities were announced today. As part of trying to address the challenges of AI, IBM has added a trust and transparency layer to its ladder of AI capabilities (described here). They see [...]

SAS Decision Manager is SAS’ platform for decision automation and is getting a significant update in December 2017. I wrote a product review of SAS Decision Manager in 2014 and a number of things have changed in the new release, which is on the new SAS Platform and leverages new SAS Viya technologies. SAS Decision [...]

I have been working on Decision Management since we first started using the phrase back in 2002 – I’m probably the guilty party behind the phrase – and Decision Management Solutions (the company I run) does nothing but Decision Management. This gives us a unique perspective on new technologies and approaches that show up. One [...]

Last week we completed the main phase of a proof of concept project at a client, one based in Jakarta Indonesia. After the report out, I tweeted Loving watching a Dr at one of my clients explain (in Bahasa) the decision model for claims handling they built #dmn #decisionmgt Tweets are great for this kind [...]

First Look: Open Data Group

Open Data Group is an analytic deployment company. The company was started over 10 years ago and has transitioned from consulting to a product company, applying their expertise in Data Science and IT to create an analytic engine, FastScore. Successful analytics require organizational alignment (specifically between Data Science and IT) to create coordination of systems [...]

Equifax has been expanding beyond credit bureau data in recent years by providing better access to a broad range of their own fraud, employment, wealth, commercial and alternative data sources as well as 3rd party data to position themselves as an insights company. As part of this focus, their Decision Management platform, InterConnect, was rebuilt [...]

I am speaking at the Global Big Data Conference in Santa Clara, CA in March on Don’t Apply Big Data Analytics To The Wrong Problem: Put Decisions First One of the biggest challenges for analytics Teams is effective communication with their business partners. Too many projects fail to connect problems in the business environment to [...]

I recently wrote three articles for KDnuggets on the potential for decision modeling in the context of the CRISP-DM methodology for analytic projects: Four Problems in Using CRISP-DM and How To Fix Them CRISP-DM is the leading approach for managing data mining, predictive analytic and data science projects. CRISP-DM is effective but many analytic projects neglect key [...]

One of the announcements at IBM’s World of Watson is of the new Watson Machine Learning Service. I got a chance to ask a few questions about this new capability. A couple of key elements emerged regarding the current platform and the immediate announcement. First, some context. The Watson Data Platform (also announced at World of [...]

I was recently listed as one of the top Big Data/Data Science leaders on LinkedIn by KDnuggets. I was delighted to be on the list and to share it with some great thinkers and writers. My interest, as regular readers of the blog will know, is not really on how you build analytic models or apply data science techniques [...]

First Look: Enova Decisions

Enova Decisions was launched in January of 2016 as an outgrowth of Enova International’s existing technology and analytics capabilities, which are used to offer online consumer and small business loans to 11 brands in six countries including NetCredit and Headway Capital. Launched in 2004 as an online lender, Enova does all its own analytics for [...]

The folks over at ZS Associates sponsored a study by the Economist Information Unit on analytics titled “Broken Links: Why analytics investments have yet to pay off”. This report showed the classic challenge of analytics – 70% think analytics is very or extremely important but only 2% say their analytics efforts have a broad, positive impact. In [...]

Lisa Kart and Roy Schulte recently published a new research report Develop Good Decision Models to Succeed at Decision Management (subscription required). This is the first piece of formal research published by Gartner on decision modeling. Their introduction text says The industry trends toward algorithmic business and decision automation are driving wider adoption of the decision management [...]

Predictive analytics is a powerful tool for managing risk, reducing fraud and maximizing customer value. Those already succeeding with predictive analytics are looking for ways to scale and speed up their programs and make predictive analytics pervasive. But they know there is often a huge gap between having analytic insight and deriving business value from it – predictive [...]

I am giving a webinar on Predictive Analytics Deployment to Mainframe or Hadoop with Mike Zeller of Zementis on Thursday, March 3, 2016 11:00:00 AM PST The big challenge for analytics-driven organizations today is closing the gap between deriving an analytic result and getting the ROI. Organizations need a consistent and efficient way to deploy analytic results [...]

I have just finished updating Enterprise Scale Analytics with R with new data from the Rexer Analytics Survey for 2015. As R has become more popular, the role of analytics has become increasingly important to organizations of every size. Increasingly, the focus is on enterprise-scale analytics—using advanced, predictive analytics to improve every decision across the [...]

My second session at IBM Insight is Hamilton Faris Chief Data and Analytics Officer of MetLIfe – a past customer of ours – talking about Predictive Analytics.  MetLife of course is a big insurer with 100M customers in 47 countries. The group Hamilton runs focuses on bringing analytics to the forefront of the decision-making process [...]