Utilising Data Insights & Analytics to Drive Growth in Financial Services

Introduction

Financial services institutions are operating in one of the most data intensive environments in the world. With regulatory expectations rising, customer behaviours shifting, and competition accelerating from fintechs and digital first platforms, the ability to harness high quality data and advanced analytics has become a critical differentiator. Today’s leading organisations are no longer just collecting data - they are transforming it into real time intelligence that improves decision making, strengthens resilience, and unlocks new avenues for growth.

Across the sector, firms are modernising their data foundations to improve trust, transparency, and explainability. Regulators in the UK and Europe increasingly expect granular, accurate and auditable data, particularly in areas such as AML, fraud, sanctions, ESG, and AI driven decisioning. At the same time, UK consumers have fully embraced mobile first banking, with personalisation and seamless digital interactions becoming the primary drivers of loyalty. Meeting these demands requires a data strategy that combines structured, well governed information with advanced analytics and AI at scale.

Looking ahead to 2026 and beyond, the UK financial services market is set to deepen its reliance on trusted data and AI powered analytics. Firms that invest in strong data governance, transparent models and real time intelligence will be positioned to outperform, by delivering better risk adjusted returns, stronger customer relationships, and more resilient operations. By unifying data, technology and business strategy, financial institutions can confidently navigate regulatory change, harness innovation and build a scalable, insight driven future.

What you will learn

This short webinar will cover the following:

• Address the value of data and advanced analytics across:
• Risk and resilience: predictive analytics help institutions identify emerging credit, fraud, cyber and third party risks earlier, improving capital allocation and operational continuity
• Financial crime and compliance: due to the increasing reliance on AI driven insights, such as anomaly detection, beneficial ownership mapping, and sanctions screening, to reduce manual workloads and strengthen controls
• Customer growth: banks and insurers start to use behavioural data, transaction enrichment and real time insights to deliver hyper personalised experiences that increase engagement and reveal new revenue opportunities
• Operational efficiency and transformation: automation of underwriting, onboarding, reporting and reconciliations, reducing friction for both customers and employees

This pre-recorded webinar will be available to view from Tuesday 25th August 2026

Alternatively, you can gain access to this webinar and 2,100+ others via the MBL Webinar Subscription. Please email webinarsubscription@mblseminars.com for more details.