Client Overview
Decimal Point Analytics (DPA) is a global leader in providing advanced data solutions for the financial services sector. Specializing in research, analytics, and risk management, DPA caters to institutional asset managers, risk managers, and data providers. With over 800 professionals across the USA, UK, and India, DPA empowers clients with tailored, data-driven solutions that optimize business intelligence and operational efficiency.
Problem Statement
Decimal Point Analytics’ multi-database architecture, which included MySQL and MongoDB Atlas on AWS, presented several challenges:
- Operational Complexity: The management of multiple systems led to inefficiencies and increased maintenance efforts.
- Data Inconsistencies: The fragmented setup resulted in inconsistent data, raising the risk of errors and reliability issues.
- Slower Time-to-Production: The complexity of managing multiple databases caused delays in development cycles and hindered timely rollouts of new features.
- Increased Costs: The need to operate and maintain several database systems led to higher infrastructure and operational costs.
Solution Provided
Decimal Point Analytics collaborated with Oracle to implement Oracle Autonomous Database (ADB), a unified, high-performance solution that streamlined the entire database environment. The key components included:
- Oracle Autonomous Database (ADB): A fully integrated database platform that supports both relational and NoSQL data models, simplifying management and improving performance.
- Oracle Database API for MongoDB: Enabled seamless integration with existing applications, ensuring a smooth transition from the previous systems.
- Oracle Cloud Infrastructure (OCI): A secure, scalable, and cost-effective cloud environment that supports Decimal Point Analytics’ growing business requirements.
This transition to a unified platform reduced operational complexity and significantly lowered costs.
Outcome
The Oracle Autonomous Database solution delivered several key benefits to Decimal Point Analytics:
- 15% Faster Time-to-Production: Reduced development and deployment times, accelerating the rollout of new features and enhancing client satisfaction.
- 10% Reduction in Operational Costs: Achieved cost savings compared to the previous AWS-based infrastructure, leading to a more efficient operation.
- Enhanced Developer Productivity: By shifting focus from maintenance to innovation, developers were able to drive more impactful projects.
- 99.9% System Uptime: Improved system reliability and availability, minimizing downtime and ensuring uninterrupted service for critical operations.
- Scalability and Fault Tolerance: The new system easily scaled to meet the growing data needs of Decimal Point Analytics while providing enhanced fault tolerance.
Key Takeaway
The consolidation of Decimal Point Analytics’ fragmented database architecture into Oracle Autonomous Database significantly improved operational efficiency, reduced costs, and enhanced system reliability. Organizations facing similar challenges can benefit from adopting a unified platform that simplifies data management and enables scalable growth.
For more information on how Decimal Point Analytics can help optimize your data management, contact us.
