Featured Customers: Top 5 Wealth Management Firm

Top 5 Wealth Management Firm

  • Global financial services institution
  • More than $2T in assets under management
  • 16,000+ financial advisors serving over 2M clients

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“We’re giving people on the business side the freedom to ask questions of their data without fear of a long and complex process”

VP, Data Platforms, Global Financial Firm

The Business Opportunity

A global financial services firm wanted to be able to apply advanced analytics to the massive volume of data streaming into its wealth management practice, so that financial advisors could use it to deliver more personalized investment advice to clients. The goal was to reduce information overload while empowering wealth managers to quickly identify investment opportunities best suited to the specific needs of their customers. To do this, the firm needed a way to unlock analytic insights from data science silos and make them easily accessible to the people who could benefit from them “at the point of decision.”

The Technology Requirements

Previously, the firm’s financial advisors spend a significant amount of time searching for and manually analyzing the information they needed to make recommendations to their clients. Instead of putting the onus on decision-makers to find critical data, the firm wanted to drive insights directly into the applications, such as CRM systems, that wealth managers rely on daily to do their jobs. The goal was to find an analytics solution that could empower both IT and business stakeholders to take part in the data science process.

The Alpine Solution

Chorus powers a centralized “Insights Engine” that allows the firm to rapidly analyze large volumes of incoming data- everything from information generated by research and product groups to external sources of market data – and score investment opportunities based on their relevancy to specific customers. Insights are then funneled directly to wealth managers, who can in turn use the information to make targeted recommendations to their clients. This cuts recommendation cycle times from hours to just minutes. Financial advisors can now focus their skills on what they do best and the firm can easily scale sophisticated analytics to a large group of business users across the organization.