In this reusable example project we explore most of the preparation processors, plugins, visual recipes and charts available in Dataiku to work around geographical data.
Explore This Sample Project
Start by looking at the flow. It starts with one dataset containing information about stores location and another dataset with customer data. We combine these datasets to analyze the distribution network of a retail company.
This project leverages powerful processors and plugins to extract usable geo-features from our original datasets. We start with an IP address or a raw physical address and get with a precise geopoint.
Combine your data using geographical rules
We use the Geo-Join recipe in order to find the closest reachable store for each customer.
Enrich your data
Advanced enrichment functionalities such as Isochrones and Routes Computation allow us to augment our initial datasets and draw relevant insights.
Visualize your results with a dashboard
To communicate the results, the project includes a dashboard displaying all map charts available on Dataiku.