Data modernization: a key element of business transformation

Many financial institutions face issues in using legacy platforms that no longer keep up with their customer and internal requirements in real time. So how can businesses evolve their data processing to become more timely, agile, and scalable while controlling infrastructure costs?

Data modernisation is facilitating business transformation by moving from outdated legacy systems to a modern, multi-cloud, data platform to enable personalised customer experiences, new revenue opportunities, and a faster time-to-market.

The transition from legacy to modern platforms can lead to multiple benefits for financial institutions. While reducing TCO, these transformations increase developer productivity and reduce data fragmentation and duplication, offering more value from data. For example, organisations can unlock data to support novel onboarding processes by using existing operational data to score new customers.

Watch this Finextra webinar, hosted in association with MongoDB, to hear from a panel of industry experts as they discuss the following areas:

• How will data modernisation solve legacy issues faced by financial institutions and businesses?
• What strategies of data modernisation are in use?
• How will data modernisation impact customers?
• What trends are we seeing in the industry in terms of data analytics?
• What are some examples of use cases in which data modernisation has been successfully applied?

Speakers:

Gary Wright - Head of Research, Finextra

Joerg Schmuecker - Director, Financial Services Industry Solutions, MongoDB

Prabhakaran Pitchandi - Vice President and Global Head of Analytics and Insights, TCS

Fabian Khoshbakht - MD, Head of Client Insight & Innovation Treasury Services, BNY Mellon