Executive Summary

Microsoft Fabric represents the most significant evolution in Microsoft’s data platform strategy since the introduction of Azure. By unifying data engineering, data science, real-time analytics, and business intelligence into a single SaaS platform, Fabric addresses the fragmentation that has plagued enterprise data estates for decades.

This whitepaper examines the business case for Microsoft Fabric adoption, drawing on Forrester’s Total Economic Impact research and practical implementation considerations.

The Problem Fabric Solves

The Fragmented Data Estate

Most enterprise data estates have evolved organically over years or decades, resulting in:

Multiple storage systems: Azure Blob Storage, ADLS Gen2, SQL Server, third-party data warehouses
Disconnected compute: Different engines for ETL, analytics, data science, and reporting
Duplicated data: The same information copied across systems, often with inconsistencies
Integration overhead: Complex pipelines moving data between systems

The Cost of Fragmentation

According to Forrester’s research, this fragmentation imposes significant costs:

Infrastructure redundancy: Paying for overlapping storage and compute
Integration maintenance: Engineering time spent on data movement rather than value creation
Governance complexity: Difficulty enforcing consistent security and compliance across systems
Slow time-to-insight: Reports taking hours or days to refresh due to complex data pipelines

Microsoft Fabric: A Unified Approach

Explore the interactive platform diagram below to understand how Fabric’s experiences connect through OneLake—click any component to see details.

OneLakeSingle copy of data

Forrester Total Economic Impact™ findings

379%ROI over 3 years

<6 monthsPayback period

50%Productivity increase

$779KInfrastructure savings

Source: Forrester TEI Study, June 2024

OneLake: The Foundation

OneLake is Fabric’s unified storage layer—a single data lake for your entire organisation. Key characteristics:

Single Copy of Data Rather than copying data between systems, OneLake provides a single storage location that all Fabric workloads access directly. This eliminates duplication and ensures consistency.

Shortcuts and Mirroring For data that must remain in existing systems (due to regulatory requirements or third-party ownership), shortcuts provide virtual access without physical movement. Mirroring keeps copies synchronised automatically.

Open Formats OneLake stores data in Delta Lake format—an open standard that prevents vendor lock-in and enables interoperability with non-Microsoft tools.

Direct Lake: The Performance Breakthrough

Traditional Power BI operates in two modes:

Import: Fast queries, but data is duplicated and refresh is slow
DirectQuery: No duplication, but queries can be slow for large datasets

Direct Lake is a third option unique to Fabric. Power BI reads directly from Delta tables in OneLake with import-like performance but no data duplication. Reports that previously took hours to refresh now update in seconds.

The Business Case

Forrester TEI Findings

Forrester’s Total Economic Impact study (June 2024) examined organisations that deployed Microsoft Fabric. Key findings for a composite organisation:

Return on Investment: 379% over 3 years

This ROI is driven by:

Infrastructure consolidation savings
Productivity improvements
Accelerated time-to-value for analytics projects

Payback Period: Less than 6 months

The relatively low implementation cost combined with immediate infrastructure savings results in rapid payback.

Data Engineering Productivity: 50% increase

By eliminating low-value integration work, Data Engineers can focus on building analytics capabilities that drive business value.

Infrastructure Savings: $779,000

Decommissioning legacy SQL servers, Analysis Services instances, and redundant storage reduces ongoing costs.

Total Cost of Ownership Considerations

When evaluating Fabric’s TCO, consider:

Costs Reduced

Azure storage (consolidated into OneLake)
SQL Server/Analysis Services licensing
Third-party ETL tool licensing
Infrastructure management overhead

Costs Introduced

Fabric capacity units (compute)
Migration and implementation effort
Training and change management

Costs Unchanged

Power BI Pro/Premium licensing (often already in place)
Data governance and security investment

For most organisations, the net effect is cost reduction plus significant capability improvement.

Implementation Considerations

The Migration Question

Fabric adoption doesn’t require “big bang” migration. Successful approaches typically follow:

Phase 1: Foundation

Establish Fabric workspace and governance
Configure OneLake shortcuts to existing data sources
Enable Power BI Direct Lake for immediate value

Phase 2: Consolidation

Migrate ETL pipelines from ADF to Fabric Data Factory
Transition data warehouse workloads to Fabric
Decommission redundant storage

Phase 3: Expansion

Enable advanced scenarios (real-time, data science)
Extend to additional business domains
Optimise based on usage patterns

Common Pitfalls to Avoid

Underestimating Change Management Fabric changes how teams work. Data Engineers accustomed to separate tools need training on the unified experience.

Ignoring Governance OneLake makes data more accessible—which is powerful but requires robust governance to prevent misuse.

Over-Engineering Initial Implementation Start with high-value, low-complexity use cases. Prove value before tackling the most complex scenarios.

Neglecting Capacity Planning Fabric’s consumption-based pricing requires careful capacity planning to avoid cost surprises.

Who Should Consider Fabric?

Strong Fit

Organisations already invested in Microsoft ecosystem (Azure, Power BI, M365)
Companies with fragmented data estates seeking consolidation
Teams spending excessive time on data integration vs. analysis
Organisations planning significant analytics or AI investment

Less Clear Fit

Companies with minimal Microsoft footprint
Small data estates without fragmentation issues
Organisations with heavy investment in competing platforms (Snowflake, Databricks)
Teams without data engineering resources to manage the platform

Conclusion

Microsoft Fabric represents a genuine platform shift, not incremental improvement. For organisations in the Microsoft ecosystem struggling with data fragmentation, the business case is compelling: 379% ROI, sub-6-month payback, and 50% productivity improvement.

However, realising these benefits requires thoughtful implementation. Starting with a clear foundation, migrating incrementally, and investing in change management separates successful Fabric adoptions from those that underdeliver.

About Orion Data Analytics

Orion’s Fabric Launch Accelerator provides a structured approach to Microsoft Fabric adoption—establishing the foundation, migrating priority workloads, and ensuring your organisation captures the value Forrester’s research demonstrates is achievable.

Explore Fabric Launch Accelerator →

Explore Fabric Cost Rationaliser →

Sources: Forrester Total Economic Impact™ of Microsoft Fabric (June 2024), Microsoft documentation. Statistics represent Composite Organisation findings; individual results may vary.

Microsoft Fabric: The Unified Data Platform

Key Takeaways