CASE STUDY

Big Data Analytics Helps a Financial Service Client Become More Data-Driven in its Decision-Making Process

Dec 11, 2017

Industry Overview

With the ever-rising demand for reliable financial services systems among the global audience and the relentless growth of the financial services industry, firms operating in this industry space have started shifting toward a more accessible and resilient financial services systems to improve savings and investments. As a result of such challenges, firms operating in the financial services industry have started leveraging the use of big data analytics. With the help of big data analytics, companies operating in the financial services space can create customized products and facilitate effective loss prevention. Moreover, with the relentless growth of big data analytics, firms have unparalleled volumes of information to access and formulate superior strategies and position their product and service offerings better.

With years of expertise in offering a wide array of big data analytics solutions, Quantzig’s analytics solutions help firms operating in the financial services space to increase the use of sophisticated analytics software to boost sales. Furthermore, Quantzig’s big data analytics solution also offers actionable insights on improving the overall customer experience.

Request a free proposal to know how big data analytics can help your business gain comprehensive insights to deliver intelligent, timely actions that improve customer engagement, increase revenue, and lower costs.

The Business Challenge

A renowned financial services client with business units spread across several geographies was facing challenges increasing their focus on building stronger bonds with their best customers owing to the competition in the industry. Additionally, the client wanted to gain actionable insights into the metrics to improve customer satisfaction and loyalty and reduce churn rates even though they had proliferated through aggressive pricing, promotion, and customer acquisitions.

Big Data Analytics Solution Impact

With the help of this robust big data analytics engagement, the financial services client was able to anticipate the future behavior of the customers and accordingly segment them in order of their importance. Additionally, by analyzing the customers, their needs, and buying behavior patterns, the client offered personalized product and service offerings to the customers and was able to efficiently calculate risks. This engagement also helped the client improve customer engagements and establish long-term relationships.

Speak with our analytics experts to know more about big data analytics solutions for financial services firms.

Big Data Analytics Solution Predictive Insights

  • Streamline the purchasing activities of the consumers and proactively track them
  • Automate processes in terms of data entry compliance checks
  • Make adjustments to premium rates, premium strategies, and underwriting limits
  • Enhance customer experience, innovative products, and devise risk management strategies
  • Make strategic and informed business decisions

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