Hewlett Packard Enterprise (HPE) has launched HPE Investigative Analytics, a hosted software solution created to help financial institutions and other regulated organisations to identify, analyse and prevent compliance risk events in an effort to thwart today’s growing compliance crisis.
With regulators on high alert and new compliance directives coming down daily, organisations are under extreme pressure to maintain compliance, with stiff penalties including fines and criminal prosecution at stake. A 2015 Morgan Stanley report found that global financial institutions have paid $260 billion in fines for non-compliance since 2009.
Legacy analytics software has been incapable of recognising potential issues with data that is scattered across multiple silos in a variety of data types at the tremendous volumes transacted and communicated daily by financial institutions.
“Keeping ahead of unethical and illegal activity is imperative for organisations of all sizes today in order to protect themselves from fines, sanctions and negative publicity that can materially affect shareholder value,” said David Jones, senior vice president and general manager, information management and governance, HPE.
“A software solution like the one from Hewlett Packard Enterprise, which delivers insight into both structured and unstructured data – to not only identify and analyse risk events, but also take action to prevent them – is quickly becoming an industry mandate,” said Laura DuBois, group vice president, enterprise storage, servers and infrastructure software, IDC.
HPE states that its new software has a 200x greater hit rate on identifying potentially risky information compared to other compliance and risk management systems.
Among the solution’s key features are:
- Employs a combination of HPE Digital Safe, HPE Supervisor, HPE IDOL and HPE Vertica to detect patterns and anomalies by analysing both structured and unstructured data,
- Provides a single view across both structured and unstructured information, regardless of source,
- Leverages both machine learning analytics and investigative analytic human behaviour models to measure risks and flag potential problems, and
- Secures, audits and streamlines access to all data then synthesises and analyses results to produce actionable insights.