Big Data & Analytics for Financial Services

Due to the sheer volume of data the financial services sector generates from customers, transactions, global trading, and many other sources, it is currently one of the most risk-laden sectors.

This has put the FS sector under increased scrutiny from regulatory bodies to remain compliant, resulting in on-going pressure for effective information governance.

But this has also created an opportunity to improve competitiveness and drive business growth. The sector is leveraging data to develop new and innovative products and services via better customer segmentation analysis, which will ultimately optimise customer experience by creating a personalised service, resulting in loyalty amongst customers and ultimately help grow their revenue streams.

With this in mind, this year’s forum will enable you to:

• Create new business opportunities, develop new products and drive innovation: Find out how Lloyds are building a division centred on innovation that is designed to drive new business and sales development

• Support your Chief Data Officer and Leadership team: Learn how Santander, Bank of Ireland, RSA, AMLIN and Barclays are balancing strategy with daily management responsibilities to help you manage time effectively

• Detect and manage fraud effectively: Find out how Capital One are reducing costs by proactively fighting and reducing fraud through machine learning and adaptive models

• Develop a personalised pricing model: Learn how Zenith Insurance Management are developing competitive pricing models without impacting margins to maximise profitability and improve customer experience

• Leverage AI, Machine Learning and Robotic Process Automation: Hear how Rabobank, XL Catlin and UBS are driving down costs and optimising processes

• Drive customer loyalty and increase spending: Swiss Re will discuss how they differentiate their organisation through customer and behavioural analytics