We developed a solution that redefined the governance model of the organization.

About the Industry

Technology has played a pivotal role in the banking and financial sector. Despite several challenges, like an uncertain regulatory framework, frequently changing consumer behaviors, and fluctuating compliance costs, the technologies have always come up with the solution to mitigate such issues.

The rise of analytics and Artificial Intelligence has simplified and accelerated the day-to-day financial operations. The digitized move of the cloud movement has positively impacted the areas of security, data compliance & standards, and cyber issues. The integration of the banking operation with a smart solution like business intelligence has further improved the reporting and the visualizing features of data.

About the Client

Our client is a UK-based financial service provider company. The company provides flagship offerings in credit card and associated services. With more than four million approved customer bases, our client has successfully met the customer expectations to their full potential.

The company is venturing into other banking services as well. For business expansion, the organization is planning to expand its geographical boundaries. The company has implemented smarter technologies that are ML-enabled and are looking further to implement more enterprise solutions for the organization.

The Business Challenges

The organization was facing the following challenges: –

  • Supporting the banking regulatory compliances was becoming a technological burden for the organization.
  • The on-premise application infrastructure failed to understand and meet the customer’s grievances from the risk management perspective.
  • Lack of optimization and integration between multiple services affected the profitability of the organization.

Our Solution

  • We designed the architecture of a cloud analytics platform on Microsoft Azure.
  • We carried out the migration of end-to-end applications and existing capabilities from the legacy system to the cloud platform.
  • The integration of the external and internal sources of the data simplified the processing of large financial workloads.
  • Our cloud analytics platform solution helped manage customer engagement on a secured cloud platform infrastructure.

Key Results

  • We analyzed more than one billion rows of data and impacted the revenue by $15 million.
  • The cloud analytics platform delivered high performance at lower cost.
  • The agile methodology of the solution helped achieve key business goals in a limited period.
  • The daily updating of the data generated key insights and reports in real-time.

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