Problem: Manual extraction of data, with subsequent data cleansing and transformation makes up 80% of the time of the financial planning and analyisis team. Depth and quality of analytics do not meet business requirements.
Metodología: Implement an integrated toolset to schedule, orchestrate, and automate low-value data preparation activities. Gradually engage and train the team in the usage of toolset within a best-practice data governance model.
Resultado: Reduced time spent on data preparation from 80% to 20%. Speed and depth of analysis increased through freed-up time and cutting-edge toolset.