Challenge
The legacy data warehouse could not support real-time risk scenarios, data definitions were inconsistent across teams, and high-concurrency queries interfered with each other.
A high-concurrency, low-latency unified analytics foundation gives research, risk, and business teams the same consistent, seconds-level experience on the same set of facts.
The legacy data warehouse could not support real-time risk scenarios, data definitions were inconsistent across teams, and high-concurrency queries interfered with each other.
Built a high-concurrency, low-latency unified analytics foundation where research, risk, and business teams share the same metric definitions with workload isolation.
Core metric queries now return in seconds, risk and operations analytics share the same facts, and peak-hour stability improved significantly.
带上一个指标、流程或数据难题,和我们一起评估 MIP 如何在真实业务环境中提供支持。