Decision Modeling Brings Clarity to Analytics





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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 to gain Decision Management Solutions' perspective on how to bring clarity to analytics projects with decision modeling.

James is the CEO and Principal Consultant of Decision Management Solutions.

Learn More:

Download a leading practices brief published by the International Institute for Analytics about the role of decision modeling in bringing clarity to analytic and data science projects at a global leader in IT.

Contact Decision Management Solutions with questions or to schedule A Free Consultation

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