New Way Now: Gymshark reduces data pipeline development time from weeks to days with BigQuery
*Featured in this video:* Evie Dineva, Group Head of Data Engineering and Data Science at Gymshark
*Executive summary:* Gymshark, a leading UK fitness community and gymwear brand, was looking for a way to get its data into shape for AI innovation. With Google Cloud, Gymshark leverages BigQuery, Looker, Dataflow, and Vertex AI to supercharge its data and AI capabilities while improving its ability to provide unique, personalized experiences to millions of customers all over the world.
*Challenge:* Recognizing that data is key for driving value with AI, Gymshark knew it would need to focus on building stronger data foundations to prepare for the future. Gymshark wanted to transform its existing data infrastructure to enhance the quality of its customer data and make it easier to gain insights about its customers throughout their personal fitness journeys.
*Solution:* Gymshark built a new unified data platform with BigQuery to bring together all of its data from across its website, mobile and training apps, and brick-and-mortar stores. Consolidating its data in BigQuery enabled Gymshark to use the full power of the Google Cloud ecosystem, including services like Dataflow, Looker, and Vertex AI, to create an end-to-end platform that accelerates real-time data processing and data pipeline creation while also empowering business stakeholders with self-serve analytics and reporting. In addition, Gymshark’s data is now primed to take advantage of cutting-edge technologies, such as generative AI, to drive innovative use cases like gen AI-powered assistants to personalized in-app training recommendations.
*Results:* With its new data platform doing the heavy lifting, Gymshark is now poised to harness its data to help achieve its goals — both today and tomorrow. By building a unified data platform on BigQuery and utilizing services like Dataflow, Looker, and Vertex AI, Gymshark has reduced data pipeline development time from weeks to days.
*Key takeaways and highlights
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