Advanced Analytics

In Financial Services

Our AI and advanced analytics offerings are based on cutting-edge approaches, such as natural language processing, knowledge graphs and machine learning. Our approaches are pragmatic and rooted in deep domain knowledge to address the financial service industry’s true needs. 

What EY can do for you

Artificial intelligence (AI) and advanced analytics are transforming the way financial institutions interact with their clients and run their organizations. It is providing them with tools that make the impossible of yesterday the common-place of tomorrow.

These institutions understand that advanced analytics has the potential to inform business strategy and improve the performance of operations. The ability to structure, manipulate, interpret and derive insights from data is core to an organization’s survival.

EY is at the forefront of this journey, helping banks, asset managers, insurance providers and other financial institutions become AI-enabled organizations of the future. Regardless of where an organization is in its journey to become data-driven, we develop innovative, customized and scalable approaches based on leading-edge practices, such as AI, natural language processing, knowledge graphs, machine learning, robotic process automation and intelligent automation. The combination of EY’s domain experience, technical acumen and technology-agnostic approach offers financial institutions the skill set to help solve complex problems across the organization.

Deploying an advanced analytics solution can help generate a range of benefits, such as:

  • Building personalized customer experiences through a holistic view of the customer
  • Enhancing revenue by acquiring new customers, deepening relationships and growing loyalty
  • Reducing risk and improving compliance functions with analytics that improve timely detection of adverse incidents and behaviors
  • Improving and designing better operations by removing unnecessary procedures and automating manual functions

Our approach

We understand that in analytics, defining a business problem in the right way is as important, if not more, than the statistical, mathematical and technical solution that follows. Through rapid prototyping focused on a field-testable solution, we can validate opportunities and help build the case and momentum for change.

Our advanced analytics team leverages change management to help our clients realize the full benefits of these solutions. Further, we involve the end users in an inclusive rollout process, thus increasing likelihood of eventual adoption and success.

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