Fabric Optimization Case Study
How a Leading B2B Retailer Eliminated Performance Issues Without Capacity Upgrades
Table of Contents
Executive Summary
Data Collection Architecture
When a leading Australasian B2B retailer faced crippling performance issues in their Microsoft Fabric environment, their options seemed limited to another costly capacity upgrade – doubling their monthly costs from $18,000 to $36,000 AUD. Despite a recent upgrade just six months prior, their critical month-end reporting processes were forcing finance staff to work weekends, while senior developers were constantly pulled away from strategic projects to firefight performance issues.
Within just one month of implementing Fabric Health Check & Optimization Service, the company:
- Eliminated all throttling events without requiring a capacity upgrade
- Reduced peak capacity utilization from >150% to <75%
- Capacity utilization and performance metrics
- Content lifecycle analytics
- License optimization opportunities
Most importantly, what started as a performance crisis has transformed into a strategic advantage. The company now has a clear roadmap for sustainable growth and innovation in their Fabric environment, with the confidence to adopt new features without the constant threat of performance issues or mounting costs.
Client Background
BI & Analytics Environment
- 15 Power BI developers across business units
- 1,000+ report consumers
- 250 actively used reports across 45 workspaces
- Heavy utilization of Gen 1 dataflows (50% of capacity resources consumed)
- Recently migrated from Power BI Premium P2 to Fabric F128
- Monthly Fabric costs of approximately $18,000 AUD
The Challenge: A Perfect Storm of Issues
Performance Crisis
- Severe report performance issues during high-use, month-end periods, impacting board reporting, sales performance monitoring, and other critical business processes
- Finance and sales staff forced to access critical reports outside normal business hours (evenings and weekends) when capacity load was lower
- Monthly financial close processes frequently delayed, creating downstream impacts across the business
- Senior management began questioning whether Fabric was the right strategic platform choice, putting at risk the organization’s substantial investment in Power BI infrastructure and expertise
Mounting Costs
- Recent Capacity upgrade from P1 to P2 doubled costs from $9000 to $18,000 AUD monthly
- Company was facing another potential upgrade to F256 ($36,000/month)
- Strong resistance to additional cost increases
- Concern about continuous upgrade cycle
- Resolving each performance incident required, on average, one week of senior developer time ($4K per incident) in unplanned costs
Resource Allocation Challenge
- Most skilled and expensive BI developers regularly pulled away from strategic projects to reactively fire fight acute capacity performance issues
- Increasing stress and frustration as highly skilled developers forced to abandon planned work to troubleshoot performance issues – an area outside their core expertise and interests
- Constant context switching reducing productivity
- Limited optimization expertise
- Unsustainable support model creating risk of staff burnout and attrition
Governance and Control Analysis
- Absence of structured release management: No performance testing gates before production deployment. No review of resource impact for new reports or artifacts. Reports moving directly from development to production without adequate optimization checks
- Limited control over self-service report design: While business users leveraged centralized Semantic Models for data consistency, they retained complete freedom to create their own report designs and DAX calculations. This freedom, while valuable for business agility, led to the proliferation of non-performant design patterns that significantly impacted capacity performance. The organization lacked the tools and processes to identify and rectify these issues before they affected the broader user base.
- Growing number of poorly performing reports impacting overall capacity performance and critical business processes
- Lacked a “big picture” view that linked governance to performance and ultimately cost management.
Analytics in Action’s Power BI and Fabric Optimization Service
Service components include:
- Comprehensive capacity utilization analysis
- Resource consumption monitoring
- Performance bottleneck detection
- Optimization recommendation
- Expert consulting support and fix implementation
- Training and enablement for client
Results and Benefits
Immediate Technical Impact
- CU utilization reduced from >150% to <75%, creating headroom for growth and adoption of new Fabric features – such as CoPilot
- Complete elimination of throttling events, ensuring uninterrupted access to critical business information
- $18,000 AUD monthly savings by preventing a capacity upgrade, improving the ROI of the existing Fabric investment
Operational Improvements
- Eliminated weekend emergency response
- Almost complete elimination in performance-related support tickets
- Returned month-end processing to normal business hours
- Enhanced development standards and practices
Stakeholder Perspectives
Executive Leadership: Strategic Platform Investment
Facing mounting infrastructure costs and performance challenges, the CIO found that optimization provided a better path forward than continuous upgrades:
“We were facing another expensive capacity upgrade, just 6 months after our last one. The optimization service not only eliminated that need but has given us confidence that we can adopt new Fabric features without constantly increasing our spend. The ROI has been significant.”
Chief Information Officer
Finance Team: Operational Efficiency
The impact on financial operations and team morale was immediate and significant:
“The change has been dramatic. Previously, I had team members logging in during weekends to complete month end reporting. Now everything runs smoothly during business hours. This has had a real impact on team morale and work-life balance.”
Finance Manager
Operations Team: Transforming Service Delivery
The Operations Team, previously caught in a cycle of constant performance firefighting, experienced a fundamental shift in their ability to deliver value. Instead of managing user complaints and emergency fixes, they could focus on strategic improvements:
“Before this service, we were constantly firefighting performance issues. Every month-end was stressful, with multiple support tickets and frustrated users. Now we can focus on proactive improvements rather than crisis management. The reduction in after-hours support calls has been particularly welcome.”
Operations Team Lead
Strategic Roadmap
Month 1: Quick Wins
- Service implementation completed in under 60 minutes
- Key DAX optimization patterns identified and implemented
- Immediate reduction in capacity usage
- Elimination of throttling
- Return to normal business hours for month-end processing
Future Initiatives
1. Capacity Architecture Optimization
- Evaluate multi-capacity strategy (Two x F64 rather than single F128)
- Consider an isolated capacity for protection of critical conten
- Separate development/testing environment
2. Release Management Enhancement
- Implement Fabric deployment pipelines
- Automated performance testing gates- using Best Practice Analyser (BPA) and Semantic Link
- Version control and rollback plans
3. Data Processing Modernization
- Migrate to Gen 2 Dataflows
- Follow design patterns to ensure query folding
- Evaluate PySpark (5-10X efficiency potential)
4. Disaster Recovery Innovation
- “Backup Capacity” with pre-loaded critical reports for ultimate protection
- Near-instant failover capability
- Pay-as-you-use model, means near zero cost overhead
Is Your Organization Experiencing Similar Challenges?
- Frequent capacity throttling issues?
- Rising Fabric/Power BI infrastructure costs?
- Developers spending time firefighting performance issues?
- Critical reports unavailable during peak periods?
- Unclear whether you have the right-sized capacity?
- Uncertainty about adopting new Fabric features?
Why Act Now?
Every month of sub-optimal Fabric performance has real costs:
- Unnecessary infrastructure spending
- Lost productivity from performance issues
- Delayed strategic initiatives
- Staff frustration and burnout
- Missed opportunities for innovation