Transform regulatory costs into revenue.

Banks and credit unions can realize value in their data by gaining insights into their customers.

Enterprise Data Platforms for Financial Institutions

Big data analytics has shaken up nearly every industrial sector, enabling businesses across the globe to gain intelligent insights and new perspectives. No where is this more true, however, than in the financial services sector. Banks, credit unions and other institutions deal with a wide range of actionable data, and when this information is analyzed, organizations can reap an array of impactful benefits.

The regulatory environment is shrinking the community banking market, and requiring that banks and credit unions retain massive amounts of data, from loan details to daily transactions. By analyzing their big data, community banks are transforming costs into a revenue generator.

Data Realty builds data management and analytics platforms that allow you to increase wallet share of current customers while acquiring the most high value new customers at the lowest acquisition cost. We help turn the cost of your disparate systems and regulatory environment into an asset.

Banks and credit unions use our Data Management Platform to ingest and organize disparate big data into Hadoop (fully managed by Data Realty) which enables analytical queries and can stream data into a robust Data Analytics Platform (powered by Aunsight, a powerful data science platform developed to provide speed to insights).

As customers rely more heavily on credit and debit transactions, banks can cash in to this wealth of data in order to learn more about their customers spending habits from a granular level.

Analytics Focus Areas for the Financial Industry

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Wallet Share & New Customer Acquisition

Use data to understand how to increase your share of current customers’ wallets by suggesting other products specific to their needs.
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ROI on
Marketing Spend

Target your advertising differently in order to get the same, or better, results while spending less money overall.
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Risk & Regulation

Automate standards, plans and reports to stay in compliance with the Dodd-Frank Wall Street Reform and Consumer Protection Act.

Questions Banks & Credit Unions Can Answer with Analytics:

Which potential customers look like our current best ones, and how can we target them?
Who are our customers, what are their needs, were are they coming from?
Why are our customers leaving us? What are the signals that a customer is about to leave?
How can we utilize algorithms for stress-testing and performing massive testing on various financial scenarios?
Do our customers prefer an actual branch or an app? If branch, were is the next ideal location and when?
How can we improve the efficiency of our internal processes through automation in order to reduce operational costs?

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