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Dentsu, a global advertising leader, is improving its data analytics by partnering with Microsoft and using Microsoft Fabric. This upgrade speeds up data replication and insights, helping teams work more efficiently and serve clients better.
By breaking down data barriers, Dentsu is making information more accessible and preparing for advanced AI-driven decisions.
By breaking down data barriers, Dentsu is making information more accessible and preparing for advanced AI-driven decisions.
Key Takeaways
- Accelerated Data Replication: Dentsu has seen a 55% improvement in data replication speed, enabling near-real-time insights.
- Cost Optimization: Consolidating workloads into Fabric has reduced licensing and maintenance costs.
- Unified Analytics: A 360-degree view of agency network performance is now accessible to management.
- AI Integration: The platform is being prepared for generative AI, enabling natural-language queries.
- Cultural Shift: The initiative fosters a data-driven culture of innovation across Dentsu’s global teams.
Unprecedented Performance Gains
After adopting Microsoft Fabric, Dentsu improved data replication speeds by 55% in just a few months. This lets analysts access insights almost in real time and work more efficiently. Moving workloads to Fabric has also helped Dentsu save money on licensing and maintenance.
Thanks to these changes, Dentsu can now provide detailed performance reports for its agency network. The new cloud-based system replaces older methods and gives management a clear view of network performance.
Preparing for Generative AI
Now that Dentsu has a strong, unified data system, it is working to add generative AI to its analytics. Leaders in offices around the world, from Tokyo to Toronto, will be able to ask important questions in their own languages. Microsoft Fabric’s Copilot will quickly understand and provide clear, visual answers.
This feature makes it easy to work with data models. For example, a leader in Tokyo can ask a question in Japanese, and Copilot will translate it, use the main analytics model in English, and give back useful insights in a visual format. To make this possible, Dentsu must carefully prepare data, clean and organize years of information, set key performance indicators, and add metadata for smarter searches.
Dentsu plans to use more predictive and prescriptive analytics so stakeholders can see and assess possible outcomes before making decisions. The next steps are to test a predictive analytics module with some regional teams and set regular goals to track progress and impact. These efforts will help expand the program and keep Dentsu’s analytics transformation moving forward.
Building a Visionary Future with Unified, AI-Ready Analytics
Dentsu’s changes go beyond technology, encouraging a culture of data-driven innovation. The company supports this shift by sharing success stories, recognizing achievements, and communicating internally. Events like FabCon Vienna let team members share their experiences and what they’ve learned.
Regional teams are eager for new applications on the platform. So far, over 50 teams across EMEA, APAC, and the Americas have joined, and more than 1,000 users access the analytics system each month. This shows the transformation is working and helping Dentsu move toward a future with unified, AI-ready analytics.
Sources
Spargent Analytics
Microsoft Fabric consulting, implementation, analytics modernization, and long-term support for enterprise data teams.
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