Unified Data Warehouse for Faster Financial Reporting at Scale

Client Overview

A diversified financial services group offering investment banking and broking services to FIIs, pension funds, mutual funds, and domestic institutions wanted to modernize its financial data operations.

The organization was managing large volumes of financial and historical data across fragmented spreadsheets and multiple formats. This created delays in reporting, increased manual effort, and limited the leadership team’s ability to access reliable data quickly.

Problem Statement

The client’s financial reporting process was heavily dependent on manual spreadsheet-based workflows, which made data processing slow, error-prone, and difficult to scale.

Key challenges included:

• Siloed data across multiple formats and spreadsheets
• High manual effort required for data consolidation and calculations
• Frequent calculation errors due to the absence of a structured database
• Heavy Excel dependency, resulting in slow processing and poor traceability
• Difficulty retrieving historical data for analytics, audit, and compliance needs

For CXO leadership, the challenge was not only operational efficiency. It was the need to build a scalable, accurate, and governance-ready data foundation for faster financial decision-making.

Solution Provided

Decimal Point Analytics implemented a unified data warehouse framework to centralize financial data, standardize processing, and improve reporting efficiency.

The solution included:

• Implementation of a unified database with Pentaho integration
• Standardized data ingestion and transformation workflows
• Automated data processing for financial and historical datasets
• Single-click reporting for instant financial calculations
• Robust exception handling for complex computations
• Improved data traceability and consistency across reporting workflows

This helped the client move from spreadsheet-led reporting to a structured, automated, and scalable data architecture.

Outcome

The unified data warehouse significantly improved the speed, accuracy, and reliability of financial reporting.

Key outcomes included:

• 70% reduction in data processing time
• 25% reduction in operational costs by eliminating manual effort
• Query resolution time reduced from days to 2–3 hours
• Improved data accuracy and consistency
• Faster access to financial and historical data
• Scalable reporting foundation for future business growth
• Improved traceability for analytics and compliance requirements

Key Takeaway

A unified data warehouse can transform financial reporting from a manual, spreadsheet-dependent process into a scalable, automated, and decision-ready system.

For financial services leaders, the real value lies in faster access to trusted data, lower operational effort, and stronger control over reporting accuracy.

Is your financial reporting still dependent on fragmented spreadsheets and manual calculations?

Partner with Decimal Point Analytics to build a unified, scalable, and analytics-ready data warehouse for faster financial reporting and better decision-making.