This real estate investing company needed a lead qualification engine that would automatically evaluate properties, enabling them to make smarter and faster real estate investment decisions.
A manufacturing company wanted to use analytics to optimize their supply chain but first needed help with JD Edwards data transformation.
The Aptitive data science team built a high performing and computationally inexpensive Random Forest model to enable prediction analytics capabilities.
By implementing a data vault model, the company quickly was able to integrate their data sources and report on trends across a holistic view of their data.
Aptitive helped a healthcare client provide insightful reports and dashboards to their internal team and their customers.
Aptitive helped an education client to make faster and better informed decisions with easy to access, up-to-date, and reliable data using education dashboards.