How To Fix Two Key Challenges for Analytics Projects

Experienced analytics teams know two key challenges for analytics projects are:

Analytic teams are using decision modeling to frame the problem with their business partners, assess the predictive model’s value in business terms and clarify the people, process and technologies needed for successful deployment.

Learn more in our recent webinars:

Frame the Problem!

6 Questions to Ask Your Business Partner Before You Model

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Get Your Results Deployed!

5 Things You Need to Know Before You Deploy Your Model

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Key Benefits

  • Accurately frame and scope analytic projects before committing resources.
  • Ensure analytics generate business value by evaluating them in business terms.
  • Reduce implementation time and cost by pre-defining deployment context.

What Analytics Teams Are Saying

  • “This is the critical path to monetizing advanced models.”
  • “Clearly an effective way to get more understanding of a problem prior to modeling.”

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