Overview
This project is about getting aggregate data from which we can identify the matrices like how many shoppers were in a day on a DMA or a region or in a DMA and a region, or national from raw and very granular data about car shoppers. So, The process which involved to get this result we use ETL, in general terms, we have data about car shoppers each record represents a shopper and for each shopper, we have lots of information like region and DMA, the region/DMA where the shopper was made.
2020
