With the exploding volumes of enterprise data, the responsiveness of analytical queries gets slowed down. This results in creative hindrances for analysts and decision-makers who need speed-of-thought responses to their critical business questions.
OLAP can solve the analytical challenges of modern organizations, but it needs a growing infrastructure to support the increasing scale. This whitepaper explores the story of three department managers frustrated by the opaque vision of their respective departmentâ€™s performance and how Kyvosâ€™ Smart OLAPâ„˘ technology made their lives easier.
In this whitepaper, youâ€™ll get to know:
- The limitations of a cross-department data warehouse when running multiple queries at once
- How aggregation tables can be affected by inconsistent performances and difficulties in cross-department implementations
- The solution to these problems may be OLAP but not the traditional one
- Kyvosâ€™ Smart OLAPâ„˘ mitigates the problems of data compression, caching, and redundant aggregations for faster query responses at an unprecedented scale