“Before, a request would be like ‘Please get me the email addresses for people over 25 who live in the bottom half of the country.’ Now, we’re getting questions such as ‘Can you tell me what would happen to our deposit rates if we increased our six-month deposit rate by 20 basis points over the next three months?’” — Chris Murray, Head of Enterprise Data, Heartland Bank
Heartland Bank, a rapidly growing bank in New Zealand, has adopted a data-driven approach to analyzing risk, evaluating credit lines, and understanding cash flows. But they found their legacy SAS system to be labor-intensive and time consuming when it came to updating financial models, and it was expensive to boot. (Being licensed on a per-user basis, it was available only to a small group staff in IT.) The bank wanted an analytics platform that could support future innovation, and so Heartland Bank replaced SAS with Microsoft R Server and SQL Server.
It's fitting that a bank in New Zealand (the birthplace of R) should adopt R as its analytics platform. Heartland has moved its credit scorecard development, arrears analysis, investment forecasting, and analysis of intermediary and broker performance to the R Server platform. And it's already sparked a new attitute about data within the company. Now, business users across the bank are working with the new data models, instead of relying on IT to produce reports. And rather than waiting for overnight batch processing, employees have access to real-time information.
New Zealand bank leads the way with innovative analytics platform based on Microsoft R Server
For more on how Heartland Bank uses R, check out the complete story below.
Microsoft Customer Stories: Heartland Bank