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.
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. The Zaloni Data Lake Management Platform provides these capabilities and its intuitive UI makes it easy to ingest, organize, enrich and extract data within the Hadoop data lake.