Executive Summary
A leading financial services group in India faced operational inefficiencies due to manual data handling, non-standard data mapping, and system access issues. Decimal Point Analytics (DPA) developed a unified database, reducing Excel dependency, manual errors, and improving operational efficiency. This transformation enabled swift query resolution within 2–3 hours, enhanced data accessibility, and significantly reduced costs and time spent on data processing.
The Challenge
Operational Inefficiencies Faced
The financial services firm managed investment banking and broking services across multiple institutional investors, including FIIs, pension funds, mutual funds, and domestic institutions. However, the absence of a centralized database created multiple inefficiencies:
- Frequent changes from the client’s end led to development delays.
- Delayed inputs and system access issues hindered seamless operations.
- Complicated calculations required multiple exception-handling cases.
- Non-standard data mapping made it difficult to integrate and process information.
These challenges resulted in increased manual efforts, errors, and delayed decision-making.
The Solution
Implementation of a Unified Database
Decimal Point Analytics designed and implemented a unified database to streamline data processing. The key enhancements included:
- Automating data workflows to reduce manual efforts and minimize errors.
- Establishing a structured data repository for better access to historical data.
- Improving exception handling mechanisms for complex calculations.
- Enhancing data mapping for seamless integration of non-standard data sources.
This unified approach provided the firm with a centralized and efficient data management system.
Results
The unified database led to significant operational improvements:
- Reduced Excel dependency and automated processes.
- Faster query resolution-cutting response time to 2–3 hours.
- Minimized manual errors, leading to improved data accuracy.
- Significant cost and time savings in data processing.
By leveraging automation and structured data management, the firm enhanced operational efficiency and gained a competitive edge in financial services.
Conclusion
This case study demonstrates the power of a unified database in transforming financial operations. With reduced manual efforts, automated processes, and faster access to critical insights, Decimal Point Analytics helped the firm streamline workflows, optimize resources, and improve decision-making.
