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Big Data: Bridging Consumer Experience & Increased Revenues in Financial Services

By Joseph Walent
June 30, 2016
in Analysts Coverage
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SASE, security-as-a-service, consumer credit data, automation in business finance, ARM Insight rebrands as Facteus, big data analytics in banking

Big Data Technology for Business Finance Analytic Concept. Modern graphic interface shows massive information of business sale report, profit chart and stock market trends analysis on screen monitor.

Big data analytics is transforming how financial institutions understand customer behavior, develop financial products, and identify new business opportunities. By analyzing large volumes of transaction data, spending patterns, and other financial information, banks can gain valuable insights that traditional analytical methods may overlook. These capabilities are creating opportunities to improve customer engagement while making financial services more responsive to individual needs.

Major financial institutions, including JPMorgan Chase, Wells Fargo, and BNP Paribas, are exploring ways to leverage big data and digital innovation. Beyond improving operational efficiency, these investments can help banks anticipate customer needs, deliver personalized financial recommendations, and develop services that support long-term financial wellness.

How Big Data Is Transforming Financial Services

Big data is a term that refers to the large, complex datasets that are becoming increasingly common in the business world. While traditional data analysis techniques are often unable to effectively deal with big data, new analytic tools and approaches have emerged that are specifically designed to deal with these large, complex datasets. Big data has the potential to transform the way businesses operate, providing them with unprecedented insights into their customers and operations.

In addition to the known benefits of big data and analytics outlined by the articles opening paragraph, there is also a concentration of effort in leveraging the large information pools to best understand to whom to sell and what to sell to whom.

Major Banks Invest in Big Data Analytics

Other big banks from around the world are also getting in on the act. Wells Fargo and BNP Paribas have both set up accelerator programmes to develop digital innovation and JPMorgan Chase is using big data analytics extensively to produce its JPMorgan Chase Institute reports, which report US consumer income and spending patterns from the billions of transactions generated across the country.

Using Financial Data to Improve Customer Engagement

Mercator Advisory Group understands that opportunity that is also presenting as a result of access and usability of broader data sets for Financial Institutions to better engage with their existing consumers and leverage big data and to render population financial health management services.

The analytics financial services organisations apply to their own privately held data and to publicly available sources (open data) can give them insights that were previously unavailable. Understanding the output of this data to create the best actions then becomes the differentiator.

We anticipate purveyors of financial services in the future will take on the fiduciary role they are charged with improved anticipatory suggestions and recommendations based on collected financial behavioral information. By serving customers with timely and relevant suggestions, those companies will be better positions to showcase solutions as their existing customers and prospects realize they need them.

The growing use of big data analytics presents financial institutions with opportunities to move beyond traditional product-focused banking and develop more meaningful customer relationships. By combining internal transaction information with publicly available data, banks can better understand financial behaviors, identify emerging needs, and offer more relevant products and services.

These insights can also support a more proactive approach to financial wellness. Rather than waiting for customers to request assistance, financial institutions can use predictive analytics to identify potential challenges and recommend appropriate solutions, from savings strategies to credit management tools.

Ultimately, the competitive advantage will come not simply from collecting more data but from translating that information into timely, actionable insights. Financial institutions that use big data responsibly to anticipate customer needs and deliver personalized financial guidance will be better positioned to strengthen customer loyalty and create lasting value.

Overview by Joseph Walent, Senior Analysts, Emerging Technologies at Mercator Advisory Group

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