Data Mining

International Institute for Analytics 2019 Predictions – Some Thoughts

Several of this year’s International Institute for Analytics predictions point towards a DecisionsFirst decision management approach.

Don’t bite off more AI than you can trust

Many, most, companies are actively considering using AI in their business, but few are making much progress. Some of this is due to a poorly defined approach. Some is due to confusion as to what AI means – mixing conversational AI (a user experience technology) with decision-making AI (an extension of predictive analytics and machine […]

Personalizing Insurance Marketing with Decision Management

A key way for insurers to respond to disruption in the insurance market is to more effectively personalize their marketing. Targeting prospects and especially customers with unique, personalized messages is a way for traditional carriers to be “disruptive”. Indeed there are those who see personalization—reaching customers with targeted messaging, offers, and pricing at just the […]

Delivering the Business Value of Analytics

Learn three critical success factors in delivering business value from your advanced analytics investments. 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 global companies has revealed […]

Aragon Research: Decision Management Platforms

Jim Sinur of Aragon Research just released a new report: Decision Management Platforms Sharpen Decision Outcomes for Enterprises An organization’s ability to execute superior decisions will be a huge differentiator in today’s ever-changing business environment. Currently, enterprises are faced with the challenge of making faster decisions, despite the limited skill base to assist more frequent […]

Predictive Analytics World 2018

This year Predictive Analytics World is coming to Las Vegas June 3-7, 2018, for the largest Predictive Analytics World event ever. There’s a packed agenda including a great Analytics operationalization and management track focused on how to take analytics (and AI) and get real business value from them. The track kicks of with James Taylor, Decision […]

Decision Modeling and CRISP-DM for Modern Data Science Projects

Many data science projects use the popular and well established CRISP-DM methodology. However, CRISP-DM has limitations especially regarding business understanding and deployment. The decision modeling process and the graphical decision requirements diagram addresses these challenges. CRISP-DM Popular, but with Limitations Gregory Piatetsky of KDnuggets writes following the KDnuggets Data Mining Methodology Poll: “CRISP-DM remains the […]

Great New Case Study – Bringing Clarity to Data Science and Analytic Projects

We have been helping several organizations improve their analytic and data science projects. Like many users of analytics, these organizations find that their analytic teams often lack a clear understanding of the business problem, resulting in projects that lose their way or produce analytic  models that don’t get operationalized, deployed or used. We have helped […]

Predictive Analytics World 2017: The Role of Decision Modeling in Creating Data Science Excellence

Join me and Tina Owenmark of Cisco when we speak 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 […]

Decision Modeling Brings Clarity to Analytics – New Podcast

The biggest challenge facing organizations adopting analytics is closing the gap between business value and analytics results. This is becoming increasingly serious as more organizations make investments in data mining, predictive analytics, data science, machine learning and all forms of analytics. Ensuring that these investments in analytics and analytic technology show a return means understanding how […]