About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Is Big Data Just a Big Distraction?

Subscribe to our newsletter

By Chris Ford, Capco
www.capco.com

Everyone is talking about big data. But the hype around the big data concept clouds a clear discussion on the current and actual needs of the financial services sector. The temptation of any new technology is to embrace it and then go looking for a problem to solve. More appropriately, banks should identify a prioritised business agenda, and then go looking for the right solutions.

Generally speaking, data housed by financial institutions just isn’t large or complex enough to require new technology. Big data may be intriguing, but for financial services it is a solution that is mismatched to the majority of problems that banks face. If your bank cannot reliably identify the same customer across lines of business, you are probably not ready for big data. If your bank cannot determine the profitability of targeted products and offers over their lifetime, you are probably not ready for big data.

The majority of information held by financial institutions comes in the form of structured data, most notably the information about its customers and their relationship to the accounts and products offered. In my experience, the volume and complexity of these data sets, even for the largest banks in the world, does not require new technology. Sure, new big data technology could be used to store, extract and process this data, but why implement a costly new system when conventional technology could be used as a cheaper and less risky solution?

One reason why big data solutions may seem appealing is that many institutions simply do not have effective strategies in place to properly manage their existing data, and in response believe the only solution is new technology. As a counterpoint to that idea, I work with one of the financial world’s most sophisticated analytics groups, and they make tremendous use of their data to understand customers, the marketing effectiveness, the profitability and risk – all because they made a significant investment in conventional technologies. As a point of comparison, the group I am referring to stores and exploits tenfold more data than similarly sized competitors. As this group demonstrates, there is no need for big data technology to gain these insights; traditional tools do work, and can be used extremely well with the right strategy in place. As outliers, there are some niche domains in financial services where big data technology is more apt to be applicable such as fraud detection based on customer behavior and time-sensitive risk calculations in capital markets. Opportunities in these areas should be evaluated in the context of a solid business case.

This then begs the question: if structured data can be generally managed without the use of big data solutions, what about unstructured data? After all, organisations such as Google and Facebook are using big data technology to gain incredible insight from the massive amounts of unstructured data they receive every day. For banks who are high up on the data management maturity curve, there are emerging big data investment opportunities. Software firms like Attensity are delivering integrated analytics solutions that interpret public-domain social media data in the context of channel activity. The key question for banks considering this technology is whether it addresses an actual priority. For most banks, our hypothesis is that there will be lower hanging fruit elsewhere.

Simply put, while the concept has its place in many industries, the financial sector shouldn’t jump at the chance to be an early adopter of big data technology. With other industries testing the waters, financial services can reduce the risks associated with early adoption by allowing others to oversee its development and let the industry as a whole mature. At the same time, we are urging our clients to focus their efforts on developing an effective data management strategy and better leverage the proven, cost-effective tools they already have. Big data may have a transformative effect on the financial industry in the future, but right now for most banks, it’s just an unnecessary distraction.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

Data Quality Still Troubling Private Market Investors: Webinar Review

Obtaining and managing data remains a sticking point for investors in private and alternative assets as financial institutions sink more of their capital into the markets. In a poll of viewers during a recent A-Team LIVE Data Management Insight webinar, respondents said the single-biggest challenge to managing private markets data was a lack of transparency...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

The Global LEI System – Slow but Sure

After what looked like a slow start to the summer, the initiative to establish a global standard for legal entity identifiers (LEIs) took a series of significant leaps forward during August, that appears to have put the project firmly back on track. If the marketplace felt a little reticent in June and July, it could...