Finance · Ballari · 2026
Business Intelligence Infrastructure
3 days → 4 minutes
Reporting Time Reduction
5 → 1
Data Sources Consolidated
30 days → Daily
Decision Data Latency
01 / Challenge
A regional financial services organization was producing monthly management reports that required three days of manual data extraction, reconciliation, and formatting by a dedicated team. The reports were outdated before they were distributed. Senior leadership was making work and risk decisions with data that was four weeks old.
02 / Diagnosis
The reporting process was a symptom of a deeper problem: the organization had no data warehouse. Data lived in five separate operational systems: the core banking platform, the risk management system, the work management tool, the compliance database, and the general ledger. Monthly reporting was a manual extraction from all five.
03 / Strategy
We designed a financial data warehouse that consolidated all five source systems into a single analytical layer. We then designed a reporting architecture that produced the existing management reports automatically, plus a new executive intelligence layer that surfaced the key risk and work metrics leadership actually needed for decisions.
04 / Execution
The data warehouse was built on a modern cloud data platform, with ETL pipelines connecting all five source systems. Data quality rules were enforced at ingestion, eliminating the reconciliation step that consumed most of the three-day reporting cycle. The reporting layer was built using a self-service analytics platform, trained and deployed to the finance team.
05 / Outcome
Monthly management reports are now generated automatically, with zero manual effort. The previous three-day process now executes in four minutes. Senior leadership has access to daily work and risk metrics through an executive dashboard. The finance team that previously spent three days on reporting now applies that time to analysis.
06 / Lessons
The first question we asked this organization was: what decisions do the reports support? They struggled to answer. That difficulty revealed the real problem, which was that the reports had become a process rather than a tool. Redesigning the intelligence layer around actual decisions, not existing report formats, was the highest-value contribution of the entire engagement.