How Financial Firms Can Become Leaders in Digital Transformation

Digital transformation concept

More than half of financial services executives in a new study from Broadridge Financial Solutions agree that digital transformation is currently the most important strategic initiative for their organization. In 2023, firms spend around 27% of their overall IT budget on digitalization, up from 11% last year.

Seventy-one percent of executives say artificial intelligence has significantly changed the way they work. Firms can expect more change as AI’s capabilities expand.

Established financial firms face challenges from new entrants to the market — online banks, brokers, robo-advisors and digital wealth management firms — particularly on the distribution side of financial services. These digital native upstarts are not weighed down by legacy systems or outdated thinking; they are agile and tech-obsessed. To compete, incumbents must be, too.

“Many are aware of the need to reinvent themselves — and quickly — to meet these opportunities and threats,” the study noted.

In its study of 500 C-level executives and direct reports in 19 countries, Broadridge categorized firms as “leaders” or “non-leaders” based on how advanced they are in the most essential aspects of digital transformation: innovation culture, use of emerging technologies, modern IT infrastructure, seamless customer experience, internal skill-building and adoption of security and privacy protocols.

Waving the Magic Wand

In order to fully integrate AI, most firms are overhauling internal systems and processes for managing data, the study noted. But only 19% of firms surveyed have reached an advanced stage of developing an integrated data platform across their business departments.

Given that slow progress, Broadridge asked executives what they would change if they could wave a magic wand to accelerate transformation.

See also  Moody's - Belgian life and non-life insurers face differing outlooks in wake of pandemic - Yahoo Finance

Leaders said they would dramatically expand the use of AI across the enterprise. They would gather, integrate and provide access to all enterprise data across the firm. And they would be able to anticipate customer needs in five years’ time.