CASE STUDY - FROM ‘AD MEN’ TO ‘MATH MEN’

Client Situation - Our client used an excel-based model to forecast inventory, which allowed inefficiencies to creep in. More than three terabytes (TB) of delivered ad impression logs from multiple ad servers needed to be processed by the end of each workday to gather statistics across various ad targets for each publisher. This processed data was then further analyzed across multiple dimensions to arrive at the available inventory levels and to set forecast for the day, week or month. Our client wanted to offer inventory forecasting as part of its flagship product and sought a solution that would be customizable, scalable and support high quality.

About Client - A global advertising business management company offering advertising management technology, services, and consulting to media companies for the entire digital advertising lifecycle.

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