Sales Forecasting Dashboard

A dashboard with layers of slicers for what-if analysis of historical sales data. This reduced alot of time spent by analysts in coming up with forecasts whenever the client would throw certain scenarios on them based on previously completed campaigns.

This was the first report I created that required a lot of bookmarks and groupings in order to mimic pop-ups being opened when selecting. This also presented a challenge with the sheer amount of historical data used to power the calculations. Where I worked with data engineering to come up with a sampling methodology. I then needed to resample the data during development (to reduce my PBI Desktop lag), using Python to sample massive CSV and Parquet files.