InfoCepts helped a US-based financial institution discover $10M+ of new revenue potential by modernizing data engineering capabilities and big data operations while setting the stage for accelerated cloud movement.
InfoCepts helped our client assess its legacy technology, optimize big data challenges, and modernize its data platform to provide ad hoc analytics and better business decisions. Along with accelerating its cloud migration initiatives, InfoCepts introduced solutions to improve its revenues and data engineering efforts, thus enabling our client to realize faster time-to-market for new financial products.
Focused on scaling its fintech marketplace, our client provides a broad range of financial products and services through its technology-driven platform. A range of technological elements and algorithms help its customers pay less when borrowing and earn more when saving.
The client’s innovative business model required it to adopt data-driven technology. Facing multiple challenges in engineering and operations, it sought to optimize its big data platform to make faster decisions while improving system scalability and flexibility.
Using a consultative approach, InfoCepts solved our client’s technology, data, and operational problems while building a modern, big data platform. An assessment phase included workshops and technical discussions at several organizational levels to identify gaps in data elements, assess impact on the business, and grasp modernization requirements. From this our team designed a future-proof, three-year modernization roadmap.
A scrum-based, cross-skilled data engineering team worked in collaboration with the client and developed big data platform operations to address new business requirements and manage data delivery. Its technology expertise and agile implementation helped assure all development within various business units met critical SLAs on time.
Our team monitored over 1000 jobs for failures and engineered permanent fixes, so data is synchronized between our client’s two data centers. In addition, our team enhanced SQL code, automated the identification of unused jobs in the workflow and removed superfluous dependencies for improved orchestration. Our team ensured faster execution in which 5 TB of semi-structured and complex data on a 700-node cluster was processed within a few hours.
The optimization phase being complete, InfoCepts is now helping our client to migrate its on-premise solution to AWS.
The Customer
Our client is a leading fintech company having a full spectrum of offerings that include consumer and commercial lending products for every credit bracket, in addition to a full suite of deposit products that help all customers build financial portfolios. Many customer types from disparate US regions subscribe to its innovative financial technology products.
Industry
Finance & Banking
Business Functions
Financial Services
Solutions
Foundational Data Platform, Data Lakes
Technologies
HortonWorks, Hive, Spark, AWS, Hadoop, Oozie, Python, Java
Geography
North America
Year of Deployment
2021
InfoCepts’ advisory-led approach, reusable big data solutions, data platform optimization, and automation-first mindset has resulted in improved operational efficiency and reduced costs for our client. Key benefits include:
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