Data and AI Strategy
Turn your data into decisions today – and AI-powered advantage tomorrow
Retailers sit on vast stores of data, but that information is often fragmented, duplicated, and defined differently across the business. Customer records don’t match, metrics are calculated in different ways, and teams find themselves having to manually reconcile numbers to make sense of them. Ultimately, what should be one of a retailer’s most valued assets is reduced to something that teams spend more time fixing than using.
When that happens, the result is:
Delayed decisions as teams navigate conflicting data and reports
Personalisation, retail media, and category initiatives that stall or underperform
AI investments that fail to scale or deliver meaningful impact
No single source of truth that the business can trust
dunnhumby starts by fixing the issues that prevent retailers from using their data day-to-day before creating a clear plan for applying AI where it will actually make a difference. We evaluate how data is being created, structured, and used, and rebuild that into a consistent, governed framework. By doing so, we give teams a shared, reliable view of the business – and a clear set of priorities to act on.
Identify where data breaks down across systems, definitions, and processes
Fix duplication and inconsistencies so data can be used reliably
Establish a consistent view of customers and performance across the business
Prioritise AI use cases based on value and feasibility
Fix the foundations and enable AI at scale
Build consistent and trusted data foundations, enabling teams to move faster – and AI to move beyond isolated pilots
45%
improvement in customer data accuracy
31%
reduction in anonymous communications
32%
increase in positively identified households
Thought leadership
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Get in touch and discover how we can help you succeed by putting your customers first.