analytics

Delivering boring AI with Decision Management

A great article appeared in Information Age recently based on an interview with Tom Davenport If you want to see the benefits of AI, forget moonshots and think boring. In it, Tom argues that “if enterprises ever want to see the benefits of AI, they must embrace the mundane”. This is particularly true for companies […]

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.

How More Companies Can Maximize the Potential of Analytics

“While most companies understand the importance of analytics and have adopted common best practices, fewer than 20 percent, according to a recent McKinsey Analytics survey, have maximized the potential and achieved [Advanced Analytics] at scale.” The same survey data is used in a great piece of McKinsey analysis – Breaking away: The secrets to scaling […]

DecisionsFirst Analytics in Forbes

Joe Decosmo, CAO of Enova Decisions and someone we know from our work at the International Institute for Analytics wrote a nice piece in Forbes today – Why You Should Take A Decision-First Approach To Analytics. Joe makes some great points in his post and leads off with a shout out to the Decision Management Manifesto. Like […]

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 […]

Adopt Decision Modeling for DecisionsFirst Analytic Success

Add decision modeling and a DecisionsFirst approach to analytics to this established AI Solution Decomposition Process to make it more effective.

Don’t Use Executable Decision Models – Part 4

This is the final part in my series on why we don’t recommend using executable decision models. Part 1 discussed the problem of additional model technical complexity required for executable models, resulting in business users disengagement. Part 2 detailed the challenges of reuse and maintenance with an executable model, and Part 3 outlined how executable […]

Don’t Use Executable Decision Models – Part 3

This is the third of four posts in my series on why not to use executable decision models. Part 1 discussed the difficulty in sustaining business user engagement when using executable models, and part 2 outlined the challenges of reuse and maintenance with executable models. Reason #3: Analytics and AI We are using decision models to […]