Collectiv’s tailored Fabric consulting and implementation helps your team break down silos, strengthen data governance, and drive intelligent decision-making.
Since Fabric’s inception, Collectiv’s experts have been quick to adopt, master, and apply this powerful tool in real-world environments. Through rigorous certification and demonstrated success in implementations, Microsoft recognized Collectiv as a Fabric Featured Partner.
Collectiv has a proven track record of helping enterprise and mid-market organizations integrate and optimize their data infrastructure. When you need strategic guidance across your Fabric journey, you want Microsoft-vetted experts—you want Collectiv.
If your data is scattered, your decisions will be too. The right Microsoft Fabric partner ensures everything works seamlessly so your team can make smarter moves faster.
At Collectiv, Fabric isn’t just something we do—it’s everything we do. As the only consulting firm solely focused on Fabric, we help organizations cut through the complexity, integrate data seamlessly, and build a strong foundation for analytics, planning, and AI.
Whether you’re just starting with Microsoft Fabric or need to optimize what you’ve built, we guide you every step of the way, ensuring your data works the way it should—intelligently, efficiently, and at scale.
We help organizations consolidate disparate data sources into an integrated platform, ensuring easy access and analysis for teams while reducing costs.
We implement governance frameworks that ensure your data is secure, compliant, and consistently managed—so your team can trust every insight.
Fabric’s AI-powered capabilities, combined with our expertise, help you leverage predictive analytics and automation to rapidly drive better business outcomes.
Collectiv provides long-term guidance, training, and support to ensure your Fabric implementation evolves with your business needs.
As the leading Microsoft consulting firm, organizations partner with Collectiv for their most important strategic initiatives by building a strong data architecture, improving analytics, modernizing planning, and leveraging AI.
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