Financial Services
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Financial Services

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Read our financial services case study.

Big data is mission critical for financial services firms, which leverage it to more accurately predict financial trends, improve and personalize the customer experience, and detect and prevent cybercrime and fraud. In addition, due to stringent industry regulations and reporting requirements, many firms are looking for more efficient ways to improve risk data aggregation and risk reporting.

A managed data lake provides financial institutions with the solution they need to integrate data silos, enable near real-time access to data, and support regulatory requirements for data lineage all the way back to source systems.

Risk Data Aggregation and Risk Reporting

To manage the volume and complexity of risk data aggregation and risk reporting (RDARR) financial institutions are increasingly turning to Hadoop data lakes. However, successful RDARR programs also need data governance policies and procedures, as well as metadata management to improve data quality and track data lineage. Zaloni Bedrock provides these capabilities and its intuitive UI makes it easy to ingest, organize, enrich and extract data within the Hadoop data lake.

Related Assets

Data Lake Governance for RDARR

Webinar

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Dive into the Data Lake to Address RDARR

White Paper

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Data Lake 360° for Financial Services

Solution Brief

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