The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

How to Tackle the Challenges and Gain the Opportunities of Unstructured Data

Unstructured data is coming into its own as financial institutions deploy machine learning to drive business insights out of the data, and use the data to develop more holistic risk profiles. Use cases such as these demonstrate the huge potential of harnessing unstructured data, but there are also associated challenges that must be addressed.

Ahead of next week’s A-Team Group webinar that will dive into the detail of unstructured data, we caught up with one of the speakers, Gurraj Singh Sangha, formerly head of data science, risk and market intelligence at State Street, to get a flavour of some of the key points that will be up for discussion.

Setting the scene, Sangha describes how unstructured data has added myriads of data to more traditional structured data such as securities, company, and time series data. He also notes the rise of machine learning and Natural Language Processing (NLP) that can automate previously manual data extraction.

“There are tremendous streams of unstructured data,” Sangha says. “Rather than having individuals read and extract data from news feeds for risk purposes, you can use machine learning to extract important information, such as how asset classes or markets are moving, and identify investment risk.”

He also notes the ability to create investment opportunities in a timely manner and the operational efficiencies of using algorithms (with human oversight) rather than humans to read and extract information from large documents.

Realising the potential of unstructured data, traditional data vendors provide a vast majority of the data, although some, such as data with privacy or regulatory constraints, is not so easy to source, says Sangha. This data may need to be anonymised, cleansed, corrected and validated before it is useful, raising the next challenge of how to integrate and store unstructured data. Join us at next week’s webinar to discuss the challenges and opportunities of unstructured data.

Related content

WEBINAR

Upcoming Webinar: Improving Data Integrity to Address Regulatory Requirements

Date: 6 May 2021 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions today face a global regulatory landscape characterised by rigorous and varied reporting requirements across their businesses. Reporting challenges include completing more data fields across more lines of business with greater frequency, adding complexity and cost. At the...

BLOG

S&P Global Acquisition of IHS Markit Creates Financial Data and Analytics Powerhouse

S&P Global’s $44 billion acquisition of IHS Markit will create a financial data and analytics powerhouse capable of challenging Bloomberg’s market leading $11 billion revenue and towering over the proposed $27 billion acquisition of Refintiv by the London Stock Exchange (LSE). The combined company will benefit from increased scale, a wider product portfolio and a...

EVENT

Data Management Summit New York City

Now in its 10th year, the Data Management Summit (DMS) in NYC explores the shift to the new world where data is redefining the operating model and firms are seeking to unlock value via data transformation projects for enterprise gain and competitive edge.

GUIDE

Regulatory Data Handbook 2020/2021 – Eighth Edition

This eighth edition of A-Team Group’s Regulatory Data Handbook is a ‘must-have’ for capital markets participants during this period of unprecedented change. Available free of charge, it profiles every regulation that impacts capital markets data management practices giving you: A detailed overview of each regulation with key dates, data and data management implications, links to...