Across our diverse portfolio of clients, we have repeatedly seen the value of getting an early second opinion on the validity of predictive Analytics models. Why bring in an outside expert? Even well-intentioned, highly-capable, technically-sophisticated data Analytics Initiatives can fail if they lack proper context and support from within the business.1 Having an accurate model is not good enough. Are you confident that you’re on the right track with respect to your analytics initiatives? What changes does the model demand of the organization? Most importantly, how do you know the model results are valid?
This post first appeared on Elder Research Data Science & Machine Learning Blog, please read the originial post: here
