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

Share article

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

Recorded Webinar: Managing unstructured data and extracting value

Unstructured data offers untapped potential but the platforms, tools and technologies to support it are nascent, often deployed for a specific problem with little reuse of common technologies from application to application. What are the challenges of managing and analysing this data and what are the considerations when making investments in this area? Data quality, consistency...

BLOG

Moody’s Consolidates ESG Capabilities in Solutions Group Led by Andrea Blackman

Environmental, Social and Governance (ESG) investing has passed the tipping point and become a key interest among investors across the board. ESG initiatives, particularly climate change, were highlighted at Davos in January this year; the EU has finalised ESG regulations that will come into play in 2021 and provide clarity in a market fragmented by...

EVENT

Data Management Summit Virtual

The Data Management Summit Virtual will bring together the global data management community to share lessons learned, best practice guidance and latest innovations to emerge from the recent crisis. Join us online to hear from leading data practitioners and innovators from the UK, US and Europe who will share insights into how they are pushing the boundaries with data to deliver value with flexible but resilient data driven strategies.

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...