Client Profile & Challenge
Our Client is an Investment Bank that was bringing a developer of an AI-driven student engagement platform to market. The company was preparing to face the market, and in order to go beyond the typical financial/sales metrics, it was essential to tell a powerful story about the type of usage and engagement on their platform. To tell this story, however, required harvesting large volumes of unstructured text data, requiring large data processing, text analytics, and NLP capabilities to bring meaning and context to the platform usage.
Solution Overview
Messina developed a data ecosystem, capable of processing the large volumes of data provided by the Client, and layered in an advanced analytics framework to segment and classify the unstructured conversational data. With the ability to analyze conversations, Messina worked closely with the client to tell a convincing story about platform usage, engagement, and impact.
Solutions:
Advanced Analytics, Big Data, M&A, FastTrack Deal Analytics Investor Portal.
Technology Used:
Microsoft Azure, Microsoft Power BI
Team Composition
The Messina Team was comprised of a Data Engineer, an Advanced Analytics consultant, and an Engagement Manager. This team was paired with the client product team to collaborate on contextualizing the data to best highlight the success of the student engagement platform.
“After” Business Value Creation
Messina was able to provide data-driven evidence of the success and impact the Private Equity-owned company’s student engagement platform was generating, often in ways the company was never able to execute on. These insights drove a compelling story about the usage and potential of the student engagement platform, which was packaged in a secure, Potential Investor Portal, as part of our FastTrack Deal Analytics solution.
