The global telecommunication company wanted to use MicroStrategy for analyzing massive data on their on-premise data lake. However, they were facing challenges such as poor response times and memory overload issues. Besides this, scaling up was extremely expensive. As a result, they found it difficult to handle increasing data workloads and meet the growing requirements of the business users.
This case study highlights how they used Kyvos to build a cost-effective and scalable BI architecture that delivered high performance with MicroStrategy on massive data.
Download this case study to learn how they:
- Leveraged their data platform to achieve high performance on MicroStrategy
- Achieved sub-second response times on billions of rows
- Cut down overall MicroStrategy costs