Senior Leaders shared their insights at this exclusive briefing in London
A global investigation into data use in the banking industry found that businesses who effectively analyse big data report, on average, 8% more revenue and 10% less operating costs. With humanity generating 2.5 quintillion bytes of data a day, the size and value of the data available is constantly growing. Financial institutions that fail to create the infrastructure to manage these data sets and don’t implement the culture necessary to facilitate data driven decision making face the threat of being left behind by data savvy competitors. Better data insights can help improve the customer experience, identify operational inefficiencies and help drive innovation, contributing to growth.
This briefing hosted by the Financial Times, in partnership with InterSystems, will explore the value to the banking industry of increasingly leveraging data insights to improve customer experience, security and operational efficiency. We will also discuss the challenges that businesses face while pivoting to this new operational model.
Key Discussion Points
Data
What issues have leaders found they are faced with when trying to implement more efficient data infrastructure within their organisations?
Trust
How can the financial service sector ensure they gain and retain the trust of customers so they can reduce churn and identify customers at risk?
AI
How can AI allow organisations to improve the humanity of their externally facing tech solutions and ensure customers still feel the human touch of banking?
Next Steps
What procedures can be put in place to prevent data bias from undermining the potential success of increased data use?
Review
Where can leaders make changes to remove the issue of data siloing and encourage collaboration between internal departments?
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