Case Study: Mediastay achieves optimized gaming-data reporting and faster decision-making with BIME Analytics

A BIME Analytics Case Study

Preview of the Mediastay Case Study

How Mediastay optimize the data generated in online gaming

Mediastay is a 90‑person online gaming company operating in 14 countries that runs lottery, instant‑win and licensed games. Facing Big Data challenges from large player logs, cloud‑oriented data sources and rapid geographic growth, the company relied on a patchwork of internal tools and SAS analytics that were too technical and slow for business users. Mediastay needed a modern, visual reporting solution to centralize data, track KPIs and enable fast, company‑wide decision making.

They implemented BIME to join disparate sources (Oracle, Excel, Google Analytics, Facebook, etc.) into an online, interactive BI front end. Teams now use shared, filterable dashboards to monitor KPIs such as unique players, microtransactions, ad ROI and web traffic; dashboards are accessible anywhere and updated collaboratively. Adoption is high (about four hours/day per user), deployment was fast, and Mediastay estimates a ROI of roughly two days saved per person per month compared with previous solutions.


Open case study document...

Mediastay

Alexis Deudon

Data Mining Manager


BIME Analytics

32 Case Studies