abstract

Unifying Financial Reporting to Eliminate Manual Errors and Drive Real-Time Decision Making

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abstract

Outcome
Snapshot

abstract
80%

Reduction in manual effort

50%

Faster insights

100%

Secured data access

THE CLIENT

A Connecticut-based biopharmaceutical company with approximately $297.6 million in annual revenue needed to replace a fragmented, Excel-dependent monthly financial reporting process with an automated, real-time analytics capability.

THE FOUNDATION

The organization maintained financial data in SQL Server with Power BI as the reporting tool and Excel as an intermediate layer for data preparation and distribution. Core financial records including P&L, cash flow, and balance sheet data were available but required significant manual handling before reporting could be produced.

THE CONSTRAINT

Reliance on Excel as an intermediary created a brittle, manual workflow. Reporting required repetitive manual refresh cycles, lacked dynamic period selection, and did not enforce data access controls. The process was slow, error-prone, and unable to support the analytical depth leadership needed.

THE MULTIPLIER

Logic Pursuits performed end-to-end data preparation in SQL Server, standardized the Chart of Accounts for consistent financial structuring, integrated Power BI directly with SQL Server to eliminate Excel dependency, developed interactive dashboards with dynamic period filters and waterfall visuals, and implemented Row-Level Security and automated refresh schedules for hands-free reporting.

WHAT CHANGED

Financial reporting moved from a manual, Excel-driven process to a fully automated, cloud-connected analytics environment. CFO-level users gained real-time access to clean, secured financial data with the analytical flexibility to support faster, more confident decisions.

WHAT MULTIPLIED

Area Impact
Manual Effort
80% reduction through full automation of the monthly reporting cycle
Refresh Cycle
Zero manual refreshes through cloud gateway and automated scheduling
Insight Speed
50% faster insights through dynamic period selection
Data Security
100% secured access enforced through Row-Level Security