Data First

May 2024
Why retailers and retail brands need a data strategy to underpin an AI-powered future.
Sponsored by
What's inside
Snowflake introduction
Access all data seamlessly
Support the hunger for data
Enable cloud collaboration
Explore new revenue streams
Case study: Dunelm
Glossary
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Report Summary

Download our ebook, Data First today for a comprehensive guide for retailers to embrace data-driven strategies and navigate the complexities of an AI-powered future, with Snowflake’s Data Cloud offering a “plug and play” solution.

For years AI seemed like a technology that was just over the horizon, however OpenAI’s ChatGPT has now made this future a reality. While many in digitally driven sectors had long understood the possibilities here, this was nevertheless a moment that brought the imperative to develop AI business strategies into sharp focus.

In this ebook we break down data strategy challenges and offer a roadmap to an AI-powered future in retail.

Our ebook gives insight into an AI-powered future, and the methodical approach needed to avoid getting caught in an AI bubble. We also explain the necessity of high quality, consistent data for AI applications. We discuss the retail media opportunities that can be utilised at point of purchase and browsing, through AI-driven insights essential for targeted, contextual marketing success.

Download Data First

The report examines the benefits of seamless data access, which is key to the success of an AI-powered retail future and we explore Snowflake’s Data Cloud which enables agile, comprehensive data utilisation and cloud collaboration.

Watch: “Dunelm’s move to ‘Total Retail'”

In April 2024, Jeff Howarth, Director of Data Engineering with Dunelm, Snowflake’s Paul Winsor and Ian Jindal of InternetRetailing sat down to discuss the Dunelm’s move to what it calls ‘Total Retail’.

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