A Stress Relief for the Fintech Industry with Predictive Analytics

Banking CIO Outlook | Wednesday, October 31, 2018

The financial industry has undergone numerous changes over the past decade. Most of them are attributed to big data analytics. While the banking analytics have become more relevant, new fintech solutions are being introduced to the financial market. Predictive analytics is one of the most important big data trends in fintech, and established companies like Payoneer and PayPal are already using this technology.

Predictive analytics provides an opportunity for financial companies to extensively impact the success of their marketing efforts to both new and existing customers and also make better, data-driven decisions to meet their needs. By focusing more on customer behavior, they can target the right customer with the right offer at the right time, based on their various needs and it creates more value for their services.

Financial companies can today leverage predictive analytics to uncover previously hidden patterns and generate deeper and behavior-based customer segments. This enables them to target specific customer groups with best and suitable financial products or services, eventually improving their bottom line.

Using predictive analytics, businesses can collect data on different segments such as consumer banking, mortgage, personal credit, and insurance, and it helps financial companies gain significant value from the data especially about the global trends, industry dynamics, market conditions, and the regulatory environment. These advantages enable those companies to have more optimized operations and efficient business process.

Financial organizations face risks on various levels like data storage, operational risks, and monetary thefts. Sometimes, they also affect the customer. Predictive analytics enables financial companies to have multiple data storage and data analysis, operational visibility, and minimization of risks. It also ensures secure access to compliance data, performs better internal audits, identifies required rules and regulations, increases the accuracy of audit selection, and reduces the risk of getting penalized by financial regulators.

In this rapidly growing technological world, predictive analytics has become an integral part of the financial industry, and it helps organizations to discover new trends, answer key business questions, make data-driven business decisions, uncover critical customer insights, fuel initiatives to improve customer satisfaction, and drive improved efficiency and profits. The future security of the banks certainly relies on a technology like predictive analytics.

Check out: Top Banking Analytics Solution Companies

See Also: Medium | CIOReview

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