GfK

Enabling MLOps to shorten GfK’s development cycle

GFK

What happens when one of the world’s largest market research companies puts speed and intelligence at the heart of their insights? For GfK, it meant rethinking how AI moves from the lab to production—and turning data into impact, faster than ever.

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Catch up quickly

GfK partnered with ML6 to establish an MLOps-driven way of working for their Newron platform, reducing the cycle time of bringing AI insights to production from months to weeks. Together, they co-developed a scalable system for sales forecasting models, complete with CI/CD workflows, model and data versioning, monitoring, and drift detection. The collaboration also focused heavily on knowledge transfer, enabling GfK’s teams to expand and maintain the system independently while continuing to innovate at lower cost and higher speed.

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About this client

GfK connects science and data to help solve their clients’ business questions. As the fourth-largest market research organisation in the world, GfK provides their customers with actionable recommendations for key decisions about consumers, markets, brands and media to drive marketing, sales and organisational effectiveness. Data and advanced analytics is the lifeblood of the GfK business.‍

GfK is on a mission to revolutionise real-time access to critical knowledge, by transforming their offering from consultants supported by technology to technology supported by consultants. This technology is mainly offered to their clients in the shape of the Newron platform, a single access point that combines market, consumer and brand intelligence supercharged with AI-powered recommendations.

Impact

ML6 advised and supported GfK on setting up an MLOps way-of-working, enabling GFK to bring insights to production in weeks instead of months, at much lower costs.

Robbe presenting at the GFK event in Berlin

Challenge

To be able to deliver increased value with the Newron platform, it’s critical that GfK is able to bring meaningful insights to production in a timely manner. This means that the development cycle time needs to be brought down from months to weeks, requiring tighter collaboration between the data science and engineering teams in the company.

ML6 clearly showed the value of adopting an MLOps way of working for our Newron platform and enables us to bring powerful new insights to production in weeks instead of months, at lower costs.
GFK
VP at GFKVP of Data Science & Advanced Analytics

Solution

To overcome its challenges and accelerate its mission, GfK partnered with ML6 to establish a new MLOps-driven way of working.

  • Establishing an MLOps Way of Working

    In order to propel GfK on their mission to revolutionise real-time access to critical knowledge, and to overcome the current challenges, we collaborated to establish an MLOps-driven way of working at GfK for Newron. The MLOps methodology bridges the gap between data science and engineering using a set of tools and best practices, empowering the organisation to bring AI solutions to production reliably and efficiently.

  • Co-Developing the System

    ML6 and GfK co-developed an MLOps system to bring sales forecasting models to production. We focussed on an initial implementation, with scalability in mind.

  • Knowledge Sharing and Co-Design

    We started with knowledge sharing sessions on MLOps principles, best practices, and tools, after which we co-designed a solution based on the specific needs of GfK.

  • Building Together

    The solution was implemented with a mixed team of ML6 experts and members of various GfK teams. We leveraged daily standups, design sessions, pair programming and code review to transfer knowledge and build the necessary skills at GfK while developing the system.

Results

With the base system set up and the knowledge in their hands, GfK will now expand the system to include more models and expand existing functionality further. ML6 will continue to provide expert support where needed.

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Robbe SneydersOffice of the CTO, ML6

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Robbe Sneyders 6
Robbe SneydersOffice of the CTO, ML6
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