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data science

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 [...]

First Look: DataRobot

DataRobot is focused on automated machine learning and on helping customers build an AI driven business, especially by focusing on decisions that can be automated using machine learning and other AI technologies. DataRobot was founded in 2012 and currently has nearly 200 staff including 90+ data scientists. Since it was founded, over 200M models have [...]

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, [...]

One of our clients was presenting recently at a TDWI conference and was picked up on TechTarget - Analytics teams give data science applications real scientific rigor. It's a great article with some good tips about using a repeatable methodology like CRISP-DM, especially when combined with decision modeling as a way to capture business understanding and [...]

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 [...]

I am giving a webinar with the International Institute for Analytics on Bringing Clarity to Analytics Projects with Decision Modeling: A Case Study on February 2 at Noon Eastern To succeed, an analytics or data science team must effectively engage with business experts who are often inexperienced with advanced analytics, machine learning and data science. They need a [...]

I am participating in a webinar on "The citizen data scientist: Can you democratize analytics for better business outcomes?" with Information Management, sponsored by Dell. Analytics is about better understanding customers, markets, and other phenomena that impact business performance. So while PhDs in mathematics and computer science play an important role in analytics success, employees with [...]

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 [...]

I am attending this year's Building Business Capability conference and blogging sessions like this one from Jim Sinur of Aragon Research. I gave a tutorial earlier in the week on decision modeling with DMN and will be speaking later in the week with David Herring of Kaiser Permanente (and signing my new book, Available now! Real-World Decision Modeling [...]

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% [...]

Second keynote at IBM's World of Watson is on the role of cloud and data as the foundation for cognitive systems and businesses. Bob Picciano from IBM's analytics business kicked things off. Bob began with a discussion of how IT's value has changed - from a focus on processing and how fast/cheap it can be done to a [...]

I am attending IBM's World of Watson and will be blogging as much as I can. First up is a two-part session on Advanced Analytics and how you can put advanced analytics at the heart of a Cognitive strategy. Paul Zikopoulos kicked things off talking about the potential for data to transform business and the [...]

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 [...]