DataParser Leverages Microsoft’s Azure Analytics API for FINRA Supervision Requirement

The new integration allows clients to supervise data in compliance with regulations and gain valuable insight into communications. Analysis of sentiment, language and key phrases are supported.

Millbrook, NY (PRWEB) May 23, 2018

“Let’s say that traders are discussing a fixed-income transaction using their Bloomberg terminals and a trader uses language which expresses concern or even anger at the way the trade was handled,” said Douglas Weeden, Director of Compliance and eDiscovery at 17a-4. “By submitting that conversation to the DataParser Azure Text Analytics, we are able to evidence that conversation as negative. This becomes a helpful tool in the arsenal of the compliance team.”

Companies that conduct business in multiple languages also may find this capability of value as it flags the correct set of lexicon terms and phrases in languages that apply to that message. Without this offering, discussions in Spanish, for example, being tested by an English lexicon results in few messages being flagged, which could come back to haunt a financial institution or other company in a regulated industry, should an investigation be launched by a state or federal agency like the SEC or FINRA.

DataParser’s integration with the Text Analytics API provides advanced natural language processing over raw text, and includes three main functions: sentiment analysis, key phrase extraction, and language detection. DataParser is deliberately designed not to capture each individual chat but rather to pull an entire day of chats and create conversations to submit to the Azure Text Analytics API. This provides a comprehensive view of the dialogue and makes minimal impact on real-time operations.

FINRA Rule 3110 Requires Broker Dealers to Supervise Messaging
While DataParser’s integration capabilities with Microsoft Azure offers benefits to companies in any regulated industry, it is particularly useful for those in the investment sector, such as investment banks, private equity, venture capital, hedge funds and day trading entities subject to FINRA requirements. FINRA’s Rule 3110 requires broker dealers to supervise messaging and develop policies that are specific to the activities of the firm and reasonably designed to discover inappropriate behavior and representations.

Availability
17a-4 is in the process of beta-testing the Azure Analytics feature of DataParser. Support will include the analysis of:

•     Atlassian HipChat
•     Bloomberg
•     Cisco Jabber
•     LivePerson & LiveEngage
•     Microsoft Skype Server and Skype Online
•     Microsoft Teams
•     Microsoft Yammer
•     Reuters Eikon Messenger
•     Symphony

For more information visit 17a-4.com.

Although the DataParser supports the interface to Azure AI Text Analytics API, each financial institution needs to license directly from Microsoft or a Microsoft Partner. This may involve additional fees beyond the cost of the DataParser.

About 17a-4 LLC
17a-4 is a compliance services and middleware company with a focus on e-messaging and software solutions to meet regulatory and e-discovery needs of institutional clients. Clients leverage 17a-4’s expertise to ensure information infrastructures comply with SEC (Rule 17a-4), FINRA and CFTC (Rule 1.31) regulations.
17a-4 offers the DataParser for messaging compliance and the SEC-FINRA DeskTop a hosted platform for SEC and FINRA documents and regulatory workflows. 17a-4’s architecture provides for a single-point in which all e-messaging content may be managed for retention, legal and regulatory holds and e-discovery productions.
17a-4 is based in New York.
All product and company names herein may be trademarks of their registered owners.

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