Bangalore-based MetricStream, a provider of Governance, Risk, and Compliance (GRC) solutions has announced its new ‘Big Data’ analytics capability.

With this capability, the company is poised to provide better visibility and transparency into an organisation’s overall risk profile.

The MetricStream Big Data analytics functionality will enable customers to better manage the increasing volume, velocity, and variety of data, thereby helping them overcome their risk management and regulatory compliance challenges, according to company officials.

Customers can now tackle massive volumes of structured and unstructured data including transactions, trades, social media and multimedia content, weblogs, security logs, geo-location data, click streams and email text — and can seamlessly incorporate all of this data into their risk assessment, analysis, mitigation, and reporting processes, according to MetricStream officials.

To deliver Big Data analytics capability, MetricStream has enhanced its GRC platform to support the two most popular big data architecture frameworks in the industry; Hadoop, the open source Java-based framework for processing large data sets in a distributed computing environment, and MongoDB, the open source NoSQL database system.

To capture data from disparate sources, the MetricStream platform uses Infolet integration technology, a patent-pending and agent-based architecture for distributed data extraction, processing, and delivery.

Infolet adaptors seamlessly integrate with big data sources to capture relevant information and include it within MetricStream GRC applications for processing, routing, and reporting.

MetricStream’s Hadoop integration includes the MapReduce framework for processing massive parallel computational datasets, resulting in shortened processing times.

“Organisations need risk intelligence to drive decision making and business performance,’’ said Vidya Phalke, CTO at MetricStream.

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