LONDON--(BUSINESS WIRE)--Mar 13, 2019--A global data analytics and advisory firm, Quantzig, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of their latest predictive analytics engagement for a leading international bank. During the course of this engagement, the analytics experts at Quantzig adopted a comprehensive approach to help the client address their core business challenges. The study highlights how the banking firm was able to leverage predictive modeling to accurately predict customer behaviors and improve new account activity by 30%.

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Predictive Analytics Engagement for an International Banking Firm (Graphic: Business Wire)

Banking firms today face a multitude of challenges arising due to inefficient predictive modeling approaches. Adopting a well-defined, phased approach to implementing predictive models can empower banks to achieve tangible results within a matter of months, providing rapid proof of value and building momentum for additional business intelligence initiatives.

The Business Problem: The client is an international banking firm with retail branches spread across North America. They are well-known for offering a broad range of services to suit the needs of a diversified customer base. The client had been running a new customer acquisition program that focused on targeting new customer groups. However, satisfying the growing customer base turned out to be a daunting task and the client chose to partner with Quantzig to leverage its expertise and develop a suitable predictive model to address their challenges.

Ever wondered how leading banks delight their customers by offering just the right kind of products and services at the right time? It's clear enough that they are equipped with some kind of mechanisms that help them to effectively track customer behaviors. Predictive analytics is one such mechanism.Get in touchwith our experts for more insights.

“Banking firms need to adopt solutions that not only save their capital, but also save the identity of their customers,” says a predictive analytics expert from Quantzig.

The Solution Offered: To help the client address their core business challenges, our experts worked closely with the banking firm to develop a new predictive modeling process that makes accurate forecasts to best serve their business budget and operation planning needs. Along with offering in-depth insights the predictive modeling process empowered the client to make accurate predictions that helped resolve business uncertainties into profitable probabilities.

This success story is a classic example of how predictive modeling can help players in the banking sector.Request a free proposalto know more about our predictive modeling solutions.

Quantzig's predictive modeling solutions helped the client to:

  • Increase customer acquisition rates by 25%
  • Improve new account activity by 30%
  • Request a free demoto know how you can use predictive models to improve business processes.

Quantzig's predictive modeling solutions offered predictive insights on:

  • Making precise forecasts to best serve the business budget
  • Identifying influential attributes of new responders
  • Predictive modeling can open up a world of new opportunities for your organization too. Want to know how? You're just a click away!Request for more information now!

About Quantzig

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 15 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision making. Today, our firm consists of 120+ clients, including 45 Fortune 500 companies. For more information on our engagement policies and pricing plans, visit:https://www.quantzig.com/request-for-proposal

CONTACT: Quantzig

Anirban Choudhury

Marketing Manager

US: +1 630 538 7144

UK: +44 208 629 1455

KEYWORD:

INDUSTRY KEYWORD: TECHNOLOGY DATA MANAGEMENT PROFESSIONAL SERVICES BANKING

SOURCE: Quantzig

Copyright Business Wire 2019.

PUB: 03/13/2019 11:13 AM/DISC: 03/13/2019 11:13 AM

Copyright Business Wire 2019.

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