Data Mining

I have known Tom for many years and enjoyed his books. He recently sent me a copy of his latest one – The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Management on the Cutting Edge). Tom does his usual excellent job of introducing a technical topic – AI and machine learning [...]

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 [...]

Cassie Kozyrkov, the Chief Decision Intelligence Engineer at Google wrote an article recently titled  Is your AI project a nonstarter in which she identified 22 check list items for a candidate AI project. It’s a great article and you should definitely read it. In particular you should note the quote at the top: Don’t waste [...]

I am giving a webinar on Delivering the Business Value of Analytics, August 14th at 10am Pacific/1pm Eastern. Many organizations still struggle to get a business return on their investment on advanced analytics. The biggest barrier? An inability to integrate analytics, especially predictive analytics, into frontline systems and business processes. Work with a number of [...]

Karl Rexer of Rexer Analytics is at Predictive Analytics World this week (as am I) and he gave some quick highlights from the 2017 Rexer Analytics Data Science Survey. They’ve been doing survey since 2007 (and I have blogged about it regularly) and the 2017 is the 8th survey with 1,123 responses from 91 countries. Full [...]

I am co-hosting the TDWI Solution Summit Putting Big Data and Analytics to Work in Your Organization with Fern Halper, June 3-5 in Coronado, California. TDWI Solution Summits are great events and I am looking forward to it. The agenda is focused on how to get full business value and organizational advantage from big data and [...]

DecisionCAMP 2018 in in Europe – Luxembourg to be precise – September 17-19. This is a great event and well worth your time if you are interested in the nuts and bolts of decisioning technology, Decision Management or decision modeling. Last year’s event in London was great with a wide range of presentations and lots [...]

March 27-29 I am teaching a 3-part online live training class that will prepare you to be immediately effective in a modern, collaborative and DMN standards-based approach to decision modeling. You’ll learn how to identify and prioritize the decisions that drive your business, see how to analyze and model these decisions, and understand the role these decisions [...]

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 [...]

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 [...]

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% [...]