EyeWonder Leapfrogs to Targeted Reach &
Frequency Analysis with Calpont InfiniDB
Faced with data load timeouts, escalating costs for hardware and software licensing and a growing demand for more granular data, EyeWonder was heading toward a scaling problem with their data warehouse.
In the past, EyeWonder had been able to provide all reporting based on aggregated data. The introduction of some new requirements, however, presented the team with a new challenge that required a new type of solution.
This case study reveals how the company augmented its MS SQL Server instance with Calpont's scale-out, ultra fast data engine to cost-effectively access the level of data granularity necessary to
make smart decisions based on viewer location, device and more.