Manulife Financial Corporation is an international financial services group operating in Canada, Asia, and Europe—and in the United States as John Hancock. More than 35,000 Manulife employees, 98,000 agents, and thousands of distribution partners serve almost 30 million customers and manage more than $1 trillion in AUM.
Manulife has always put customers first and consistently used technology to do it—from being the first insurance company in Canada to embrace mainframe computer technology in the 1950s to the development of highest ranked mobile banking apps in Canada.
After gradually scaling up its Salesforce implementation over several years, Manulife took on an ambitious plan to expand platform adoption as the company embraced a global effort to better manage the customer lifecycle and deliver seamless, thoughtful digital service to every customer.
“Manulife has a history of providing fantastic brick-and-mortar, in-person interactions for customers. Providing frictionless self-service for digital products is challenging in financial services, so we’re innovating, using technology with a focus on experience to eliminate friction for our customers.”
Rigorous security measures to address every potential vulnerability, including two-factor authentication, IP restriction, multi-layered data encryption, BYOK, ISO 27001 certified and and SOC2 compliant.
With Odaseva, Manulife eliminated a difficult digital transformation challenge, providing top-tier disaster recovery resiliency while empowering their Salesforce engineering and operations teams to move faster and deliver new innovations with confidence.
By putting stronger safeguards around customer data, Manulife is reinforcing the deep, trusting customer relationships at the heart of its business, while at the same time ensuring frontline staff have consistent, seamless access to the information they need to excel in their jobs.
“Odaseva has differentiated itself as not simply being a tool for basic backup and restore but a platform for helping manage Salesforce data,” says Jonathan. “Odaseva proved to us that it can solve the problems that come with large, complex data sets, who deal with granularity, high frequency and high volume.”