Hewlett Packard Enterprise recently announced the availability of HPE Investigative Analytics, a new hosted software solution that enables financial institutions and other highly regulated organizations to identify and analyze risk events, and take action to prevent them.
Meeting compliance requirements and stopping fraud is no small task for today’s global companies. Financial institutions process billions of transactions and communications daily, producing massive volumes of information that lives in silos throughout the company. Legacy analytics software is incapable of understanding and recognizing irregularities in data that is scattered across multiple data types.
To help identify and stop fraudulent and non-compliant behavior, HPE Investigative Analytics leverages HPE’s unique software assets in archiving, compliance, and machine learning to automatically detect patterns and anomalies in structured and unstructured data in order for an organization to shut down bad behavior before it becomes an issue.
HPE’s Investigative Analytics is a complete surveillance and analytics solution that casts a wide net across enterprise information and has a 200x greater hit rate on identifying potentially risky information compared to other compliance and risk management systems. Key capabilities of HPE Investigative Analytics include:
Unique assets in archiving, Big Data, compliance, and machine learning Software: HPE Investigative Analytics brings together HPE Digital Safe, HPE Supervisor, HPE IDOL and HPE Vertica to automatically detect patterns and anomalies by analyzing both structured (e.g. trading systems, risk systems, pricing systems, directories, HR systems, etc.) and unstructured data (e.g. voice, chat, e-mail).
Curated data lake: Enriches information from disparate data sources (i.e. e-mail, IM and voice archives, etc.) as well as structured data from trading, risk, market, and surveillance systems to provide a single view across both structured and unstructured information, regardless of source.
Machine learning-based analytics: Leverages investigative analytic human behavior models to measure risks and flag potential problems identified by connecting to business and market activity feeds and scores information against these events using a series of key risk indicators (KRIs).
Secure access with rationalized results: Secures, audits and streamlines access to every drop of the data lake while utilizing the capabilities of HPE IDOL and HPE Vertica to synthesize, analyze and produce actionable insights.
Models human behavior to measure risk and raise alerts: Connects to business and market activity feeds, such as trade alerts, market events, or research publications, and retroactively scores content against these events using a series of KRIs. HPE Investigative Analytics uses a variety of out-of-the-box or user-defined KRIs, which vary from a lexical analysis of terms, such as mentions of the company near opinions derived from sentiment analysis—“I’m bullish on the bond market”—to more complex language models looking for potentially manipulative language.
HPE Investigative Analytics is available directly from Hewlett Packard Enterprise, and also with select partners who provide added value.