Application Modernization
Making Data Work for You with Azure
Discover how a fintech leader turned complex data into clear insights and faster decisions using Azure.
Slide

Introduction

A leading fintech company, with a significant presence in the financial sector and a workforce of around 800 employees, faced considerable challenges in managing and integrating their data from multiple sources. The firm was struggling with outdated data management systems, which led to inefficient processes, compliance issues, and delays in decision-making. To address these challenges, a specialized solution was recommended, Microsoft Azure’s Platform-as-a-Service (PaaS), known for its ability to provide secure, scalable, and efficient data management solutions.

Problem Statement

The fintech firm encountered several data management challenges

Aggregating Financial Data Securely

The company struggled to securely and efficiently aggregate financial data from diverse sources, complicating their data management efforts.

Automating Data Delivery

Manual data delivery processes were time-consuming and resource-intensive, hindering the firm’s operational efficiency.

Ensuring Compliance

Maintaining compliance with industry regulations was a significant challenge, posing risks to data security and operational integrity.

Proposed Solutions

To address these challenges, Microsoft Azure’s Platform-as-a-Service (PaaS) was recommended, to develop a secure and scalable data management solution.

Key Components Included

Improved Transparency and Trust

By building a secure customer portal with Azure Web Services, clients could control access to their financial data, ensuring transparency and trust.

Scalable and Secure Data Storage

Using Azure SQL Database, the solution provided secure storage for financial information with advanced security features and built-in scalability.

Faster Decision-Making

Seamless integration with third-party financial data aggregators like Yodlee enabled on-demand data retrieval, facilitating quicker decision-making processes.

Execution

  1. First, we thoroughly analyzed the data management challenges and objectives. This deep understanding allowed us to pinpoint precisely what the company needed from Azure.
  2. Next, we selected the appropriate Azure modules that were perfect to address their specific issues.
  3. We then integrated Azure with the existing systems to ensure smooth data integration and workflow.
  4. Afterward, we conducted detailed training sessions for the team, equipping them with the knowledge and skills to maximize the benefits of the new system.
  5. Finally, we established a framework for ongoing support and updates, ensuring the company is well-equipped to resolve any future challenges and continuously improve their data management processes.

Outcomes

The implementation of Microsoft Azure-powered solutions led to great improvements.

Reduced Time Investment

Automating data sourcing saved significant hours, reducing manual efforts by 50% and administrative tasks by 45%.

Cost Savings

By utilizing Microsoft Azure’s PaaS model, the company eliminated the need for upfront infrastructure investments, resulting in a 35% reduction in overall costs.

Higher Data Security and Compliance

The advanced security features of Azure SQL Database ensured compliance with industry regulations, reducing security risks by 40%.

Enhanced Decision-Making

The integration with third-party data aggregators improved data retrieval efficiency, leading to a 30% faster decision-making process.

Conclusion

Microsoft Azure’s PaaS enabled the fintech company to overcome its data management challenges. This led to improved operational efficiency, faster time-to-market, and higher customer satisfaction, which led to fully realizing the potential of their business in a secure and scalable manner.

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