Case Study: Enova streamlines software engineering and analytics with Wolfram Language

Enova develops software changes in less than five lines with Wolfram

Enova, represented by Chief Architect Chad Slaughter, faced the challenge of a slow, multi-step process for developing and deploying software changes. Their "Colossus" project aimed to replace a cumbersome system where analytics models had to be developed and then coded separately by engineers, a process that took months. They needed a solution from a vendor like Wolfram that could quickly handle vast amounts of data and dramatically shorten development time.

The solution was implemented using Wolfram's Mathematica and the Wolfram Language. This allowed the Enova team to consolidate their work into a single system, using the language for both analytics and software engineering instead of dividing tasks among systems like SAS, Python, or C++. The results included a massive reduction in code complexity, with the ability to create significant functionality in less than five lines of code instead of hundreds, leading to faster prototyping and a streamlined process for moving directly to production.

Enova