

Data Mining and Machine Learning Empower Sparq to Better Select Their Newest Locations
Sparq needed a better, more analytical way to efficiently target the most promising American cities to establish a local presence. We took on the challenge of using a unique combination of results from both data mining and machine learning approaches applied against purchased third-party data to evaluate tens of thousands of data points across 59 mid-sized cities.

Rearchitected eCommerce Platform Increases Revenue, Stability and Speed
A leading automotive eCommerce site needed to make major improvements to its online platform to gain more market share. In just eight months, Sparq revamped their outdated architecture and moved from on-premise to the Cloud (AWS). The new site could now be viewed from any device, was more user friendly and visually appealing, and showed a 15% improvement in speed.

Anti-money Laundering Solution Helps FinTech Company Stay Compliant
At risk of being out of Financial Crimes Enforcement Network (FinCEN) compliance, our FinTech client needed to adjust how they audit and track suspicious financial activity. The company needed a partner with experience working in heavily regulated financial institutions to create a new system or risk major consequences to their bottom line.

Leading Streaming OS Provider Positions to be Leading Home OS Provider
Our client, a leader in smart TV operating systems, was looking to introduce a suite of products that would be a natural extension of their business and make them a leader in a second industry. These products would integrate things like home monitoring, custom lighting and smart power at a better value than what had previously been on the market. Our client needed to test their new devices in a broad array of consumer environments and complete end-user testing scenarios quickly in order to meet their tight launch deadline.