Editorial & Advertiser Disclosure Global Banking And Finance Review is an independent publisher which offers News, information, Analysis, Opinion, Press Releases, Reviews, Research reports covering various economies, industries, products, services and companies. The content available on globalbankingandfinance.com is sourced by a mixture of different methods which is not limited to content produced and supplied by various staff writers, journalists, freelancers, individuals, organizations, companies, PR agencies Sponsored Posts etc. The information available on this website is purely for educational and informational purposes only. We cannot guarantee the accuracy or applicability of any of the information provided at globalbankingandfinance.com with respect to your individual or personal circumstances. Please seek professional advice from a qualified professional before making any financial decisions. Globalbankingandfinance.com also links to various third party websites and we cannot guarantee the accuracy or applicability of the information provided by third party websites. Links from various articles on our site to third party websites are a mixture of non-sponsored links and sponsored links. Only a very small fraction of the links which point to external websites are affiliate links. Some of the links which you may click on our website may link to various products and services from our partners who may compensate us if you buy a service or product or fill a form or install an app. This will not incur additional cost to you. A very few articles on our website are sponsored posts or paid advertorials. These are marked as sponsored posts at the bottom of each post. For avoidance of any doubts and to make it easier for you to differentiate sponsored or non-sponsored articles or links, you may consider all articles on our site or all links to external websites as sponsored . Please note that some of the services or products which we talk about carry a high level of risk and may not be suitable for everyone. These may be complex services or products and we request the readers to consider this purely from an educational standpoint. The information provided on this website is general in nature. Global Banking & Finance Review expressly disclaims any liability without any limitation which may arise directly or indirectly from the use of such information.

DataParser Leverages Microsoft’s Azure Analytics to Meet  FINRA E-Communications Collection Requirement 

Also allows companies to monitor and compile text messages, instant messages and other e-communications to identify phrasing that may indicate customer or employee dissatisfaction

17a-4, LLC, a software and services company that enables regulated clients to comply with SEC, FINRA and CFTC requirements, has announced its widely used DataParser that collects third-party messaging and collaboration content now integrates with Microsoft’s Azure’s AI Cognitive Services Text Analytics API. This combination enhances the ability of compliance officers to supervise data in keeping with current regulations, but also makes it easier to monitor and analyze keywords and phrasing that may indicate the message contains a customer complaint or issue, allowing companies to address such concerns quickly and effectively.

“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