This national trade association wanted to build a custom embedded analytics portal to improve data quality and access for their thousands of local associations across the U.S.
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.
A private equity group’s finance team was looking for a way to streamline and scale the financial reporting process to reduce the time and complexity of reporting.
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.