This post is the latest post in our new blog series: How We Solve Problems. Each blog post focuses on a real-world client experience where Revelwood was presented with a unique or thorny problem.  We’ll explain our approach to how we solved it.

Revelwood Client: A financial services company specializing in retirement and life insurance.

Planning Environment: IBM Planning Analytics

Problem: Their business process included allocating summary quarterly forecast data to a more detailed level. When looking at months and the other dimensions, there were over 200 trillion possible target combinations. The process was performed manually and took two days to consolidate the source data, perform the allocation calculations in Excel and load the results into Planning Analytics.

How we Helped: We converted the full process into automated TurboIntegrator scripts that took under 10 total minutes to run.  

Do you have a challenge with your Planning Analytics environment? Let us tackle the problem! Send us a quick email!