Discover how data, AI and advanced analytics are transforming retail.

In this Cybit webinar, Rob Hankin (Chief Technology Officer) explores how retailers can turn insight into action — using data, machine learning, and agentic AI to build resilience, efficiency, and growth in an industry under constant pressure to adapt.

From data security and dashboards to predictive analytics, cognitive AI and pricing automation, Rob shares first-hand lessons from 25 years in the field, covering what works, what fails, and what every retailer should prioritise before investing in AI.

Whether you’re in retail, distribution, or another fast-moving sector, this session offers practical guidance on data maturity, analytics strategy, and how to modernise without replacing legacy systems.

What you’ll learn:

The five barriers to analytics success in retail.
Why 85% of big data projects fail — and how to avoid it.
How to define and progress along the analytics maturity journey.
Descriptive vs diagnostic vs predictive vs prescriptive vs cognitive analytics.
Lessons from Blockbuster, Target, Nike, and Zara.
How to overcome data security fears and siloed responsibility.
The truth about dashboards — and how to move from pull to push analytics.
Avoiding AI hype: when machine learning delivers value, and when it doesn’t.
Why legacy systems don’t have to block modernisation.
Real examples of retail AI success — Zara, Tesco, John Lewis, Next, B&Q, Boots.
How to build a phased roadmap for analytics, AI and automation.
Cybit’s free Data Risk Audit and AI readiness assessments.