Insurance & Financial Services

Big data is mission critical for companies in the financial and insurance industries. They leverage data 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 of these businesses are looking for more efficient ways to improve risk data aggregation and risk reporting.

Turning Physical Data into Competitive Digital Disruption

customer quote mobileInsurance is paper-intensive, which can be messy to deal with. If you turn that into data and information, you can expand globally, taking friction out of the process.”

MIKE BRADY
Industry Thought Leader
& Chief Technology Officer

Big Data for Mission-Critical Financial Systems

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.

Cloud-Based Data Lake for Customer 360º and Marketing Analytics Applications

Handle Data for Acquisitions, Fraud, and Risk Management

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

RDARR Compliance in Big Data
Dive into the Data Lake to Address RDARR
Cloud-Based Enterprise Data Lake Provides Shared Access Across Lines of Business

Want an agile, governed data lake?