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 those analytics will impact business decision-making.

Adopting decision modeling for analytics keeps the focus on business problems, revives lost projects and brings clarity to analytic problems – even ones long thought too hard.

Outlook Series’ Michael Lippis interviews James Taylor on how to bring clarity to analytics projects with decision modeling.

Click here to listen to the podcast.