Close this search box.

How Our Client Turned Unstructured Data From Their AI-Driven Platform Into a Powerful Usage & Engagement Story

Print Friendly and PDF

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 needed to reach beyond the typical financial metrics to tell a powerful story about the type of usage and engagement on their platform. Telling this story, however, required harvesting large volumes of unstructured text data, requiring large data processing, AI-driven text analytics and sentiment analysis 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 AI-driven 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.


Advanced Analytics, AI, NLP, M&A, FastTrack Deal Analytics Investor Portal.

Technology Used:

Microsoft Azure, Python, R, Microsoft Power BI


Messina provided data-driven evidence of the success and impact the Private Equity-owned company’s student engagement platform was generating, often in ways the company could never execute. 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.

We use cookies to ensure you get the best experience on our website.

For more information, read our Cookies Policy.