Data Platforms
What to do?
-
Centralize your data
Build a modern data platform that enables data storage, analysis, reporting, governance, and distribution. Bring all your data and experts to the same table.
-
Structure your data well
Trustworthy high-quality data is the basis for a modern data platform. Efficient analysis, refinement and distribution require a consistent, business-centric data structure.
-
Spread the data goodness
Data isn’t just for everyone — it’s everywhere. Besides every employee, every report, application and AI solution needs to benefit from it. The reach of a company’s data fuels enterprise intelligence.
-
Leverage digital twins
Integrate your operational data into your data platform. Get real-time insight, and evolve it into 360° foresight, maximizing productivity.
-
Reduce latency
Use event-driven business models and real-time data to turn your organization into a unified network of knowledge. Make sure every system is instantly aware of every order, delivery, and more.
What should you know?
-
Microsoft Fabric is the data stack for the AI age
Read more about Microsoft FabricBring all your data under the same fold, from across cloud and on-prem silos. A central interface for all analysis and data science, Fabric is the nexus for all of a company's data activity. We find significant productivity benefits in this unification.
-
Your best data deserves to be ubiquitous
Read more about System IntegrationIntegrations ensure that information flows seamlessly between systems. A modern data platform should handle data distribution as well: in the right format, at the right time, and to the right place.
Our toolbox for Data
- Microsoft Fabric: Provides a dynamic foundation that provides real-time visibility into all of an organization's data. Fabric's OneLake architecture makes centralized access control and data management a snap - across all data silos and clouds.
- Azure Integration Services: Allows for controlled distribution of your data, across the enterprise and partner ecosystem. Whether it is real-time integrations, data product distribution, REST APIs or feeding AI Agents, Azure's integration tooling does the job.
- Databricks: We supplement Microsoft's core data stack with the Databricks product when necessary, allowing the most complex and advanced analytics scenarios to be supported across different data disciplines.