Manage HR Magazine | Wednesday, May 11, 2022
Banking analytics have already proven to be extremely valuable in more accurately directing marketing and sales efforts. They can show which strategies generate the highest ROI and allow you to segment the market into much more manageable and easier-to-manage categories.
Fremont, CA: Data has become the most valuable resource for many organizations. Big data, in particular, has opened up a world of opportunities and given a number of clear advantages to customers in the financial services industry. To understand how banking analytics are driving the industry, it is necessary to first understand how big data works in practice.
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Banking analytics trends worth watching
Improved Sales and Marketing
Banking analytics have already proven to be extremely valuable in more accurately directing marketing and sales efforts. They can show which strategies generate the highest ROI and allow you to segment the market into much more manageable and easier-to-manage categories. Banks frequently have data showing where to best reach specific demographics, and they can use predictive analytics to determine when those people can be reached with marketing campaigns. Once prospects are assigned to a sales team, big data makes it much easier to determine which sales tactics are effective and which are likely to drive away certain leads. Data can also highlight cross-sell and up-sell opportunities, allowing banks to bundle services and provide greater value to customers in order to keep them coming back.
Improved Security
For banking customers, fraud and identity theft are always significant concerns. They want to know that their bank is doing everything possible to detect potential fraud and identify unauthorized spending. Big data analytics enable banks to create a profile of typical customer behavior, allowing them to identify and flag unusual activity that could indicate a compromised account. A series of large-ticket purchases, for example, could trigger a notification or even lock down an account until the bank can confirm that the customer did, in fact, make those purchases. Enhanced security backed by banking analytics protects both customers and banks, as dealing with chargebacks and fraud claims is frequently a complicated and time-consuming process that frustrates everyone.
Enhanced Customer Support
Nobody enjoys waiting on hold for long periods of time to be transferred to someone who can actually help them with their problem. Banks can create a more effective user experience that fixes problems faster and with minimal friction by collecting data on the types of issues customers are experiencing and what they require when they contact customer support. For example, data could show that a large percentage of customer support calls could be handled by an automated system or a new feature on a mobile banking app. Improving the user experience for customer support will increase retention and help people resolve their problems faster so they can return to using the banking services that support their business or lifestyle.
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