AHEAD - Making Complex Data Analytics Simple Using the Dataiku Join Recipe
Team members:
- Alonzo Roberts, Associate Technical Consultant
- Monmoy Moshin, Associate Technical Consultant
Country: United States
Organization: AHEAD
AHEAD builds platforms for digital business. By stitching together advances in Cloud, Automation, Operations, Security and DevOps, we help clients deliver on the promise of digital transformation.
Awards Categories:
- Best Partner Acceleration Use Case
Business Challenge:
Using tools outside of Dataiku can be frustrating. We wanted to showcase how Dataiku can enable complex data analytics by making joins easy among other things.
Business Solution:
This was a two person project. My coworker Monmoy joined the datasets in Dataiku (among other things). I built a web application in Streamlit using the data he processed. Now our company has a demo that can showcase the power of Dataiku to clients.
Business Area Enhanced: Analytics
Use Case Stage: In Progress
Value Generated:
It gives our sales team an interactive demo. This demo serves as a way to show our analytics prowess that can help solve our clients biggest conundrums. In this case, Dataiku facilitated that greatly.
Value Brought by Dataiku:
Dataiku helped join 8 real world datasets. These datasets were provided by a large Brazillian e-commerce website called Olist. Joining 8 datasets together in SQL, Pandas, or other means would be a Herculean task. With Dataiku it was pretty simple.