How Philips Healthcare saved 40% of analyst time and built a scalable marketing data stack
You'll learn
- How Philips automated reporting and improved data trust
- The role naming conventions played in scaling fast
- Why centralizing data ownership in marketing is a game-changer
- How the analyst role is evolving with AI and automation
- What’s next for Philips’ marketing data journey
Key takeaways:
1. Big change is possible—faster than you think
Philips Healthcare revamped their fragmented, manual marketing reporting processes in a short amount of time. With the right team and tools in place, they built a centralized, automated system that scaled with their operations.
2. Saving 40% of analyst time by cutting manual work
Previously, analysts were spending several days each month just pulling data. With Supermetrics, they automated the entire process—freeing analysts to focus on insights and strategy instead.
3. Naming conventions = faster scaling
A solid naming convention system allowed them to blend multiple data sources easily and stay resilient to platform changes. This became a foundation for speed, scalability, and consistency.
4. Marketing as the owner of its own data
Philips centralized marketing data ownership, giving marketers better governance and faster access to performance insights—without waiting on external teams.
5. Analysts as data educators
With automation in place, analysts stepped into a new role—helping marketers interpret data, build confidence, and turn insight into action.
Related resources
Campaign naming conventions - The key to cleaner and reliable reporting (+ template)
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