Work case
Telecom Data Centers (Reporting Platform)
Built and optimized BI dashboards powered by OLAP cubes and SSRS reporting for real-time telecom service metrics from nationwide data centers, enabling executive-level data-driven decisions.
- Role
- Developer
- Published
- Tags
- telecom · bi · olap · reporting · analytics
Query response time
Optimized
Index and data structure improvements cut reporting latency
Reporting scope
Nationwide
Real-time metrics from data centers across the country
Engineering team
13
Reporting and analytics delivery organization
Problem
A nationwide telecom operator needed real-time visibility into service metrics from distributed data centers. Executives relied on manual, slow reports that did not reflect current state. Query response times were too high for operational use, and there was no unified dashboard connecting the data center estate.
Solution
I built dashboards displaying real-time telecom service metrics aggregated from nationwide data centers. OLAP cubes handled multi-dimensional analytical queries while SSRS generated structured scheduled reports. Index and data structure optimizations were applied to cut query response time and reduce report wait time across the platform.
Architecture decisions
- OLAP cubes separated the analytical query layer from transactional SQL Server operations, keeping reporting performant without impacting operational workloads.
- SSRS provided structured, schedulable report generation aligned with regulatory and executive requirements without requiring custom reporting code.
- Index and data structure optimizations were targeted at the slowest reporting paths to achieve measurable latency improvements.
Impact
- Enabled executives to make data-driven decisions from real-time telecom service metrics.
- Reduced query response time by optimizing indexes and data structures across reporting paths.
- Delivered high-performance dashboards and reports across nationwide data center infrastructure.