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 created a healthcare data science solution to analyze over 150,000 free-text healthcare tasks notes.