Companies can transform Dynamics 365 data into timely, actionable insights using Microsoft Fabric.
Key takeaways
Fabric can convert raw data into board-ready key performance indicators in just weeks.
With Fabric, companies can turn fragmented data into trusted insights that leaders can use.
As the importance of agile decision making increases, businesses are recognizing the value of transforming Microsoft Dynamics 365 data into timely, actionable insights using Microsoft Fabric , a unified analytics platform. By leveraging prebuilt data models, scalable architecture and built-in security, the journey from raw data to board-ready key performance indicators (KPIs) can be completed in just weeks, not months.
This approach enables a governed data foundation that improves accurate reporting, enhances decision making and lays the groundwork for advanced analytics and artificial intelligence-driven outcomes, while improving efficiency, trust and business agility.
Download RSM’s recent webinar where RSM US Director Michael Vilhauer and Microsoft Azure Cloud and AI Specialist Sean Bamforth discussed navigating the transition to Microsoft Fabric, providing practical guidelines and real-world use cases.
Below are practical strategies for building a scalable, future-ready data foundation with Fabric, accelerating return on investment through improved governance, efficiency and digital transformation.
Simplifying analytics with Microsoft Fabric
Microsoft Fabric enables teams to ingest, transform, analyze and visualize data in one place to gain better data-driven business insights. Its capabilities include:
- OneLake centralized storage: Serves as the default Lakehouse architecture for centralized data storage.
- Data Factory: Supports complex data integration and extract, transform and load (ETL) scenarios with cloud-scale data movement and transformation services.
- Fabric Data Warehouse: Provides industry-leading SQL performance and scale. It separates compute from storage, enabling independent scaling of both components. Additionally, it natively stores data using the open Delta Lake format.
- Power BI integration: Generates insights, tracks progress and assists in faster decision making using rich visualizations.
- Real-time intelligence: Analyzes data such as IoT sensor readings, application logs and website clickstreams. It enables the extraction of insights, visualization and action on data in motion by handling data ingestion, transformation, storage, modeling, analytics, visualization, tracking, AI and real-time actions.
- Fabric data engineering: Creates a lakehouse and uses Apache Spark to transform and prepare organizational data.
- Fabric data science: Builds machine learning (ML) models to embed predictive insights into analytics solutions and applications.
As everything runs on the same platform and the same data foundation, organizations spend far less time integrating tools and managing infrastructure and a lot more time actually analyzing data and delivering insights. The takeaway here is simplification without compromise—enterprise-scale analytics, advanced capabilities, faster time to value, all within a single Microsoft Fabric experience.
Michael Vilhauer, Director, RSM US LLP
A strong fit for Microsoft Dynamics 365 as a data platform
Fabric simplifies data management, accelerates insights and supports scalable analytics and AI without requiring major architectural changes. Its benefits include:
- A cross-organizational single source of truth through OneLake
- Generative AI features for intelligent code generation, data transformation and explanation
- More time spent analyzing data and less time integrating tools through a unified data format and structure
- Centralized administration across all experiences, simplifying access and controls
- Support for multiple industry-standard programming languages
- Low-code and no-code capabilities through tools such as Dataflow Gen2 and Data Activator
- Out-of-the-box industry solutions designed to address sector-specific needs and challenges
- A familiar user interface that supports easy adoption and aligns with existing organizational skills
In addition, security is at the forefront and built into Fabric from the start, across multiple layers, including network, workspace, item-level and data security. Fabric also integrates with Microsoft Purview for information protection, auditing and compliance.
“Analytics, governance and security are not separate conversations,” says Vilhauer. “Microsoft Fabric enables organizations to move fast with data while still meeting enterprise security and regulatory expectations.”
Bamforth further emphasizes the importance of security in Fabric. “When you use Microsoft Fabric, you eliminate the need to manually build that security layer in your data,” he says. “Since the security controls go end to end and are already in place, the focus is on managing data classifications and determining access roles rather than setting up separate infrastructure layers across the analytics process.”
Board-ready insights matter
By utilizing Fabric, organizations can quickly transition from fragmented data to trusted, board-level analytics, reducing complexity, shortening timelines and delivering insights leaders can actually use.
Board-ready insights are not just about better dashboards, but about building a reliable data foundation that supports scalability and long-term value. The benefits include:
- Faster, better decision making at the executive level
- Greater trust and credibility in data
- Clear connection between financial performance and business strategy
- Reduced compliance and governance risk
- Accelerated strategic digital transformation
Most organizations have a tremendous amount of data in Dynamics 365, but it is often fragmented, difficult to trust and challenging to use for decision making. The focus should be on transforming that data into reliable, decision-ready insights while enhancing reporting processes to deliver optimal, meaningful insights and performance visibility tailored to the organization and its industry.
This approach should include:
Information delivery
Providing clear, timely insights through consistent dashboards rather than static reports, empowering leaders with strategic data to make better decisions.
A single source of truth
Integrating finance and operational data into a governed and trusted foundation, enabling teams to focus on data-driven insights rather than debating numbers.
Data management
Strengthening data quality and the data foundation, ensuring compliance and continuous improvement over time.
In addition, with thousands of tables within platforms such as Dynamics 365 Finance & Supply Chain Management (F&SCM), it can be difficult for organizations to determine which data matters and to extract insights efficiently. Therefore, deploying validated, repeatable data models with flexible architectures that work across platforms, such as Fabric, Azure and SQL, can address this challenge. This approach reduces risk and accelerates strategic outcomes.
“Instead of starting from a blank page or trying to sort through thousands of Microsoft Dynamics 365 tables, you begin with a proven analytics-ready foundation,” says Vilhauer. “It is performance optimized, consistent and ready for reporting. You can extend it, tailor it and it can evolve as the business priorities change, including incorporating third-party data.”
Building business value with Fabric data warehousing
The data foundation required to unlock business value with a modern data warehouse and Fabric depends on relational models, including facts and dimensions to support analytics performance, consistency and trusted reporting. The same modeling approach also applies to AI readiness, which depends on clean, well-structured data to accelerate advanced analytics and ML use cases.
Relational data models are critical for analytics and reporting. The approach to building successful models should include the following steps:
Analytical design
Aligning fact and dimension models with how analytical queries aggregate, filter and slice data.
Star schema in Power BI
Enhancing performance by reducing model complexity, improving compression and enabling faster query execution.
Simplified semantic models
Integrating clear grain and relationships, enabling measures that are easier to write, understand and maintain in Data Analysis Expressions (DAX).
Consistent business metrics
Using conformed dimensions, ensuring KPIs are calculated the same way across reports and datasets, eliminating competing numbers.
Scalable and reusable architecture
Leveraging a well-modeled relational layer, supporting multiple Power BI models and analytics use cases without rework.
From architecture to execution
Dynamics 365 data flows through a modern, trusted and scalable architecture built on the Fabric architecture with OneLake at the center. This structure enables a single, unified data foundation with no duplication or disconnected silos. The data moves through a medallion architecture within Fabric, from the bronze layer, which contains raw data, to a more refined, standardized silver layer and ultimately to the gold layer, which contains business-ready data. The gold layer contains analytics-ready structures through Fabric Lakehouse, warehouse and SQL, as well as other industry-specific technologies.
In addition, incremental data loads keep the warehouse current and promote cost efficiency, while slowly changing dimensions (SCD) preserve historical accuracy and support trusted, future-ready reporting.
Implementation begins with deploying the accelerator to establish a strong, standardized data foundation, followed by customizations, historical data integration and reporting development, enabling insights to expand as business needs evolve. As the platform matures, Fabric data agents and Power BI Copilot are introduced, aligning with different stages of platform maturity.
“This isn't a big-bang effort,” says Vilhauer. “It's a practical, staged approach that delivers usable insights early, while continuously building toward a more advanced AI-ready data state.”
Frequently asked questions
Fabric brings together data engineering, data warehousing, real-time analytics, data science and Power BI into a single, unified platform, eliminating the need to stitch together multiple tools.
Fabric provides a clean, consistent data foundation that enables faster feature engineering and better governance and supports transparent AI outcomes. It also integrates with AI Foundry to manage AI models and build agents grounded in enterprise data.
Fabric’s security features include network, workspace, item-level and data security, all built into the platform and managed through unified administrative controls.
The takeaway
As organizations’ data insight needs rapidly evolve, a sharp focus is necessary to align data strategy with business objectives while reducing complexity and risk. While you may have a strong understanding of your current data and analytics landscape, additional guidance is often needed to define a clear strategy, implement best practices and enable seamless adoption of Microsoft Fabric across the enterprise. Delivering board-ready insights is not just about technology; it requires working with an experienced advisor who understands the Microsoft ecosystem, industry-specific challenges and how to translate data into meaningful business outcomes.
Ready to get started? RSM’s experienced advisors can help assess your current data and analytics environment, define a clear Microsoft Fabric strategy and implement scalable solutions that deliver trusted, data-driven insights. Contact our team to learn how your organization can accelerate analytics adoption, reduce complexity and unlock the full value of your Microsoft Dynamics 365 data.
RSM contributors
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Michael VilhauerDirector
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