A private equity-backed services group was experiencing rapid growth through M&A and needed to quickly integrate and analyze data as they acquired new branches.
Aptitive integrated and centralized data using Snowflake to provide better access to our client’s POS data, enabling future analytics and data science projects.
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.