Advanced Analytics

Our friends at IBM are running ran a webinar on May 9 that is a great opportunity to see decision automation in action: As expectation grows for faster and more personalized digital experiences, business decisions are increasingly important – and often more complex. Intelligent decisions that fuse predictions and policies can deliver more effective decisions [...]

Our CTO Ryan Trollip is presenting with Scott Horwitz from FICO in a great webinar coming up on April 20th: Insurance claims management is a complex business. Customers want their claims processed and approved quickly. Insurance providers need to manage risk, improve scalability, retain institutional knowledge when staff changes, reduce overhead costs of management, and [...]

It’s that time again – time to take the Rexer Analytics Data Science Survey Rexer Analytics has been conducting this survey since 2007! Each survey explores the analytic behaviors, views, and preferences of data scientists and analytic professionals. This year Karl is working with Eric Siegel and Machine Learning Week to design, promote, and analyze the [...]

I got my hands of a copy of Krishna Pera’s new book, Big Data for Big Decisions recently. I met Krishna several years ago when he published some articles on being decision-driven not data-driven and on why it’s essential to prioritize decisions for your analytic efforts. He’d found some of my articles on being decision-centric [...]

I was talking to a customer the other day about a particular decisioning problem they have. There’s an operational decision that they take several thousand times a year. Not a transactional one but a pretty high volume one. Sometimes these decisions have a large financial impact but often they have a smaller one. Today the [...]

Over the years, Decision Management Solutions has helped many leading insurance businesses modernize. We’ve helped them radically improve their claims handling, driving high rates of straight through processing with less fraud and less waste. We’ve helped them improve their top line sales numbers with automated cross-sell/up-sell, Next Best Offer or Next Best Action systems. We’ve worked with [...]

I am super-excited to announce that an article I have been working on with Michael Ross has just been published on Harvard Business Review – Managing AI Decision-Making Tools The nature of micro-decisions requires some level of automation, particularly for real-time and higher-volume decisions. Automation is enabled by algorithms (the rules, predictions, constraints, and logic [...]

Bart de Langhe and Stefano Puntoni recently published a great article in the MIT Sloan Management Review called “Leading With Decision-Driven Data Analytics.” In contrast to so much of the literature that focuses first on data, they focus on decision-making. In fact they go so far as to say that: “Leaders need to make sure [...]

The team at Machine Learning Week/Predictive Analytics World has announced the schedule for 2021 (virtual conference, May 24-28, 2021) and issued their call for speakers. This is a great conference and will be a great opportunity to present. As always those with case studies and real experience will be particularly welcome! I will once again [...]

Eric Siegel and I had a great discussion about doing Machine Learning BACKWARDS recently – you can watch the recording below or on our YouTube Channel. Eric, if you don’t know, is the founder of Predictive Analytics World, a leading consultant, and author of “Predictive Analytics“. You can also check out Eric’s new Coursera class. This [...]

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 [...]

Working with companies that are investing in becoming analytic enterprises, we have determined that there are three critical success factors. Whether you are focused on business analytics, data mining, predictive analytics, machine learning, artificial intelligence, or all of the above, these factors will be critical. Check out these videos that talk about them: Analytic Enterprises [...]

Gartner recently published a piece “Top 10 Trends in Data and Analytics, 2020” that you can currently get from our friends at ThoughtSpot (registration required). It’s an interesting report you should definitely check out. My favorite section was the one on Decision Intelligence, within which they include the kind of digital decisioning or decision management [...]

With everything else going on at the moment, you may be finding it difficult to think about improving your decision-making. Yet COVID-19 has added a new set of constraints on your decision making and changed you objectives. This makes the management, and optimization, of decisions even more valuable. A few weeks back we published a [...]

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

The new normal of COVID-19 is going to need customer relationships to be built and sustained remotely.

Balancing multiple profit drivers is essential in many high volume, transactional decisions targeted with Decision Management. Being able to execute decisions, monitor their effectiveness, learn what works, and systematically improve your decision-making results in significant business benefit. Mathematical optimization let’s you go even further. We recently published a new white paper – The Customer Journey [...]

I recently got together with Irene Lyakovetsky of Saugatuck Worldwide and well known independent analyst Jim Sinur to talk Digital Decisioning. Irene released our talk on her Saugatalk channel as a great series of snippets: Introducing Digital Decisioning and focusing it on operational, transactional decisions Using decision modeling and empowering the business owner Using Low [...]

A new white paper outlines the journey to optimal decisions and the role of mathematical optimization in getting the business results you want.