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Data Mining

I am joining Eric Kavanagh of the Bloor Group to discuss Easy as Pi – Why Mathematicians Rock Data Science Thursday November 16 at 3pm Eastern. Do the math! Using analytics to drive business value often boils down to a formula of some kind. That’s why mathematicians are in such high demand these days. Whether for [...]

Little bit of  a late start for me so I am starting with Geoffrey De Smet from Red Hat talking about constraint planning. He points out that some decisions cannot be easily solved with rules-based approaches – they can be described as decision (and as a DMN decision model in our experience) but not readily [...]

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 [...]

When the famous nerd webcomic XKCD pokes fun at how you use technology, it’s probably time to try a different approach. Recently he posted on Machine Learning and took a swipe at the mindless way some people approach machine learning.  His characters discuss a “machine learning system” that involves pouring data into a big pile of linear [...]

The Rexer Data Science survey is one of the best and longest running polls of data mining, analytic and data science professionals. I regularly refer to it and blog about it. It’s time to take this year’s survey – and the survey is aimed at all analytic people, no matter whether they consider themselves to be Data Analysts, [...]

I am presenting at DecisionCAMP 2017 – The Role of Decision Models in Analytic Excellence – at 11:25am, Thursday July 14 Organizations are increasingly investing in data analytics to improve decision-making. Dashboards, self-service BI, data mining, predictive analytics, machine learning and cognitive technologies are being evaluated, deployed and used as organizations push to adopt data-driven [...]

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 [...]

BPM Skills in 2017: Hot or Not?

Zbigniew Misiak posted a great set of tips from practitioners BPM Skills in 2017 – Hot or Not – with my contribution here.  This is a great way to get some quick advice from a wide range of practitioners and experts. As someone with a particular focus on decision management and decision modeling I was struck [...]

I am speaking with Tina Owenmark of Cisco on The Role of Decision Modeling in Creating Data Science Excellence at Predictive Analytics World in San Francisco. Cisco’s Data Science Office focuses not just on data science, but also on shaping the questions and answers for Cisco’s operational groups. They focus not on technology or algorithms but [...]

An additional blog post here on a session at Building Business Capability that I missed – Business Analysis for Data Science teams. I know Susan Meyer who presented it and we talked several times about her presentation. It’s a really key topic so I wanted to present a summary. Here goes: There is a lot [...]

AllAnalytics recently asked its readers “What is the greatest danger spot for analytics projects?” and the results are pretty clear. Here’s a snapshot (the percentages have been pretty stable): Top of the heap is “Identifying the Business Problem” with over 40% Then it’s a close run thing between “Data sourcing” and “Putting data into action”, both at 20% [...]

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 [...]

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 [...]

First Look: DMWay

I got a briefing from a new predictive analytics vendor, DMWay. DMWay was founded in 2014 based on significant research over the previous decades. DMWay had a first VC round in 2015, have 20+ employees and dozens of customers. DMWay is focused on democratizing data science and automating machine learning so that those with business [...]

First Look – SAS Viya

Back when I was attending the SAS Inside Intelligence analyst day they briefed us under embargo about their new Viya platform. This was announced today from SAS Global Forum. Ultimately all the SAS products will be moving to the SAS Viya platform and the platform is designed to ensure that all SAS products have some common characteristics: All [...]

Jan Purchase of LuxMagi and I are working away on our new book, Available now! Real-World Decision Modeling with DMN and one of the questions we have been asking ourselves is who we are aiming the book at – who builds decision models? Jan had a great post on Who Models Business Decisions? recently to address this question and I wanted [...]

The Call for Speakers is open for DecisionCAMP 2016 until April 1st. This year DecisionCAMP will be hosted by the International Web Rule Symposium (RuleML) on July 7, 2016 at Stony Brook University, New York, USA. This event will aim to summarize the current state in Decision Management with a particular focus on the use of the Decision Model and Notation (DMN) [...]

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 [...]

This year DecisionCAMP will be hosted by the International Web Rule Symposium (RuleML) on July 7, 2016 at Stony Brook University, New York, USA. This year’s event will aim to summarize the current state in Decision Management with a particular focus on the use of the Decision Model and Notation (DMN) standard. As always it will show [...]