Fortune 1000 Financial Services: $3.8M Annual Savings Power BI Premium to Microsoft Fabric Migration (Case Study)

Anonymous Case Study: Power BI Premium to Microsoft Fabric Migration

This case study documents an anonymized Fortune 1000 financial services engagement covering Power BI Premium P3 migration to Microsoft Fabric F-SKU capacity, MNPI containment operationalization, and Microsoft 365 Copilot Power BI grounding for risk + finance + compliance workflows.

TL;DR

A Fortune 1000 financial services firm running Power BI Premium P3 (4 capacities) plus Azure Synapse Analytics consolidated analytics to Microsoft Fabric F128 + F256 capacity over 14 months. Outcomes: $3.8M annual licensing + infrastructure savings, sub-second query performance on 12-billion-row trading datasets via Direct Lake mode, 38-control FINRA + SEC framework operationalized, Power BI Copilot grounding on customer + portfolio + risk data for 2,400 financial advisors + portfolio managers + risk officers. Engagement cost: $1.2M including consulting + Microsoft Fabric F-SKU activation + Reserved Instance commitment. Payback period: 3.8 months.

Client Profile

• Industry: Financial services — wealth management + institutional asset management
• Scale: Fortune 1000, ~$180B assets under management, 8,500 employees including 2,400 advisors + portfolio managers + risk officers
• Existing footprint: Microsoft 365 E5, Microsoft Sentinel SIEM, Microsoft Purview Audit Premium, Azure Synapse Analytics (legacy), Power BI Premium P3 (4 capacities)
• Power BI scope: 38 workspaces, 1,400 reports, 1.8 PB data lake, 12-billion-row daily trading position dataset, regulatory reports (Form ADV, Form PF, 13F filings, market risk reports)
• Compliance scope: SEC Reg S-P + 17a-4 + Reg M-A, FINRA Rules 3110 + 4511 + 2210, NYDFS 23 NYCRR 500, ITAR for select defense investment portfolio

The Business Driver

Three forces converged in 2025-2026:

1. Power BI Premium P3 ($20K/month per capacity × 4 capacities = $960K annually) reaching renewal at +18% pricing. Microsoft Premium pricing increases combined with reduced Premium-specific feature investment (Microsoft shifted Power BI roadmap to Fabric F-SKU). Premium renewal at new pricing would have been $1.13M annually.

2. Azure Synapse Analytics reaching end-of-life roadmap. Microsoft published guidance recommending Azure Synapse customers migrate to Microsoft Fabric. Continued Synapse operation was viable but at sub-optimal feature investment.

3. Microsoft 365 Copilot rollout planned for 2026. Power BI Copilot grounding requires Fabric F-SKU for full feature parity. Premium-based Copilot rollout would have been functionally limited.

Engagement Scope (60 weeks total)

Phase 1: Discovery (Weeks 1-4)

• Power BI Premium workspace inventory: 38 workspaces, 1,400 reports, 320 semantic models, 180 dataflows
• Synapse Analytics workload inventory: 47 SQL pools, 12 Spark pools, 280 pipelines
• User and persona classification: 2,400 active Power BI users (advisors, PMs, risk officers, compliance)
• Performance baseline: 12-billion-row daily trading position dataset query latency averaging 18-32 seconds via Premium DirectQuery
• MNPI containment audit: existing Information Barriers + Restricted Search policies + DLP rules
• Regulatory baseline: 38-control FINRA + SEC framework gap analysis

Phase 2: Architecture (Weeks 5-12)

• Microsoft Fabric F-SKU capacity sizing: 1 × F256 (primary) + 1 × F128 (development + non-production)
• Reserved Instance pricing commitment (1-year RI for ~40% discount vs PAYG)
• OneLake architecture aligned to data domains (trading, portfolio, customer, regulatory)
• Direct Lake mode optimization for 12-billion-row trading dataset
• Information Barriers extended to Fabric workspaces (trading desk vs research vs administrative)
• 38-control FINRA + SEC overlay deployment plan
• Power BI Copilot grounding architecture (Restricted Search exclusions for MNPI sites)

Phase 3: Migration (Weeks 13-44)

Stage 1 (Weeks 13-20): Azure Synapse Analytics workload migration to Microsoft Fabric. 47 SQL pools + 12 Spark pools migrated using Microsoft Fabric migration tooling + custom replatform scripts.

Stage 2 (Weeks 21-32): Power BI Premium workspace migration to Fabric workspaces. 320 semantic models migrated to Fabric semantic models. Direct Lake mode operationalized on top 40 highest-volume reports including 12-billion-row trading dataset.

Stage 3 (Weeks 33-40): OneLake data lake operationalization. Microsoft Fabric Lakehouse and Warehouse architecture finalized. Mirroring patterns for Snowflake (used by select investment teams) into OneLake.

Stage 4 (Weeks 41-44): Power BI Copilot grounding deployment. Restricted Search policies for MNPI sites. DLP for Copilot policies for Reg M-A pipeline. Communication Compliance for Copilot prompt scanning.

Phase 4: Governance Operationalization (Weeks 45-52)

• 38-control FINRA + SEC framework deployment
• Information Barriers operational across 4 segments (trading desk, research, investment banking-adjacent, administrative)
• Audit Premium streaming to Sentinel with 10-year retention
• Communication Compliance reviewer escalation operational with 24-hour SLA for MNPI flags

Phase 5: User Adoption + Copilot Rollout (Weeks 53-60)

• Power BI Copilot pilot for 200 advisors + portfolio managers + risk officers
• Quarterly governance scorecard baseline
• Microsoft Fabric Center of Excellence operationalization
• Power BI champion network of 50 super-users

Outcomes

Financial Outcomes

Cost Category	Pre-Migration Annual	Post-Migration Annual
Power BI Premium P3 × 4 capacities	$1.13M (post-renewal)	$0
Azure Synapse Analytics capacity	$1.4M	$0
Snowflake (partial — investment team)	$850K	$850K (kept for select teams)
Microsoft Fabric F256 RI	—	$720K
Microsoft Fabric F128 RI	—	$370K
Power BI Pro / PPU incremental licensing	—	$180K
Microsoft Purview Audit Premium incremental	$40K	$80K
Microsoft Sentinel ingestion increment	$200K	$260K
Annual total	$3.62M (pre-migration)	$2.46M
Plus Premium renewal that did NOT happen	+$170K	—
Effective annual savings	—	$1.33M licensing + capacity

Plus migration-driven decommission savings:

Decommission Category	Pre-Migration Annual
Azure Synapse storage + compute hidden costs	$640K
Power BI Premium On-Prem Data Gateway redundancy	$180K
Custom Power BI Premium monitoring + alerting	$290K
Legacy SQL Server Reporting Services replaced by Fabric	$420K
Power BI Embedded for client portal (replaced by Fabric Embedded)	$310K
Internal Power BI administrators × 4 FTE → reduced to 2 FTE	$720K
Total decommission savings	$2.56M

Combined annual savings: $3.89M

Performance Outcomes

• 12-billion-row trading dataset query latency: 18-32 seconds (Premium DirectQuery) → 0.8-2.4 seconds (Fabric Direct Lake). 15-20x improvement.
• Report load time: 12-30 seconds average → 1-4 seconds average. 6-12x improvement.
• Daily refresh cycle: 4.5 hours → 38 minutes. 7x improvement.
• Reserved Instance discount: 40% vs Pay-As-You-Go pricing.

Compliance Outcomes

• 38-control FINRA + SEC framework operationalized. Quarterly governance scorecard reflecting 7 measured KPIs. Information Barriers operational.
• MNPI containment: Restricted Search policies + DLP for Copilot prevented MNPI exposure across all Power BI Copilot prompts during pilot phase. Zero MNPI exposure incidents post-rollout.
• Books and records retention: SEC 17a-4 + FINRA Rule 4511 compliance with 10-year audit retention.
• Cybersecurity insurance: 12% premium reduction at renewal citing improved cloud-native architecture.

Adoption Outcomes

• 2,400 Power BI active users migrated without business disruption
• Power BI Copilot adoption at 90 days: 71% Daily Active Use (target was 60%)
• Power BI Center of Excellence: operational with 50 super-users + 2 dedicated COE leads

Engagement Investment

Investment Category	Cost
EPC Group consulting (Phase 1-5)	$1.1M
Microsoft Fabric F-SKU Reserved Instance commitment (1-year prepay)	$0 incremental (counted above)
Internal IT bandwidth (2 FTEs × 14 months)	$620K
Power BI Center of Excellence build-out (2 FTE × 6 months)	$260K
Year 1 total investment	$1.98M

ROI

• Year 1 savings: $3.89M
• Year 1 net: $1.91M
• Year 1 ROI: 96%
• Year 3 projected savings: $11.67M
• Year 3 projected ROI: 489%
• Payback period: 6.1 months

Lessons Learned

1. Reserved Instance commitment was the largest single financial decision. 1-year RI commitment for F256 + F128 saved 40% vs PAYG. Decision required CFO sign-off; framing as "Microsoft Premium replacement at lower cost" got it approved in one meeting.

2. Direct Lake mode for 12-billion-row trading dataset was the killer demo. Pre-migration, advisors waited 18-32 seconds for trading reports. Post-migration, 0.8-2.4 seconds. The performance difference drove unprompted adoption — advisors started using Copilot for ad-hoc analysis that previously was too slow.

3. Information Barriers extended to Fabric workspaces required custom configuration. Premium workspace permissions did not cleanly map to Fabric workspace + Information Barrier policies. Required 6 weeks of policy refinement to achieve compliance-attestable segmentation across trading + research + administrative.

4. Power BI Copilot grounding on customer + portfolio data was the differentiation moment for advisors. Natural-language queries on Form ADV preparation, portfolio risk analysis, and customer onboarding workflows had previously required Power BI report authoring expertise. Copilot democratized access to analytics for non-author user segments.

5. Snowflake partial retention was the right call. Investment team used Snowflake for select multi-cloud data sharing scenarios with external partners. Forced consolidation to Fabric would have broken partner integrations. Mirroring Snowflake into OneLake provided Copilot grounding without ripping out Snowflake.

6. Power BI champion network of 50 super-users was the adoption engine. Champions trained peers, surfaced friction points, and curated persona-specific use case libraries. Without champion network, Copilot adoption stalled in early modeling.

7. The Microsoft Fabric Capacity Calculator was directionally correct but conservative. Initial F256 sizing was based on /tools/microsoft-fabric-capacity-calculator output. Actual utilization at 6 months post-migration was 62-78% of F256 capacity headroom — confirming sizing was correct with appropriate margin.

Why EPC Group

Engagement delivered under the EPC Group Engagement Operating Model (see /engagement-model) with senior architect bench standard. Errin O'Connor was original Microsoft Power BI Beta Team member (Project Crescent) and Microsoft Press Power BI author — credentials matter for senior architect attribution.

EPC Group's six consecutive G2 Leader designations in Business Intelligence Consulting reflect engagement quality at this scope.

Frequently Asked Questions

Q: How does this case study apply to smaller financial services firms?
A: Mid-market wealth management firms (10-50 advisors) typical migration: F2 or F8 Fabric capacity, $200K-$500K engagement, 6-9 months. Annual savings $400K-$1.2M.

Q: What about Microsoft Sentinel financial services analytics rules?
A: Sentinel deployment included 50+ financial services analytics rules covering FINRA Rule 3110 communications supervision, SEC Reg M-A pipeline monitoring, and trading desk anomaly detection. Standard EPC Group Sentinel financial services package.

Q: How does Power BI Copilot grounding compare to Salesforce Einstein?
A: Different scope. Power BI Copilot grounds on Microsoft Fabric data + Microsoft Graph. Salesforce Einstein operates within Salesforce. For enterprises consolidating to Microsoft Cloud, Power BI Copilot delivers cross-system grounding Salesforce does not. For Salesforce-resident workflows, Einstein remains appropriate.

Q: What about Azure Synapse customers not yet on the migration path?
A: Microsoft has published Azure Synapse to Microsoft Fabric migration guidance. EPC Group's Azure Data Engineering Practice for Regulated Industries (see /blog/azure-data-engineering-practice-regulated-industries-hipaa-finra-fedramp-2026) covers Synapse-to-Fabric migration as Track 2.

Q: Why EPC Group?
A: 29 years Microsoft consulting + Power BI Beta Team founding-member methodology + Microsoft Press Power BI author + Microsoft Solutions Partner all six current designations + six consecutive G2 Leader designations + 200+ verified third-party reviews.

Next Steps

• Engagement Operating Model: /engagement-model
• Microsoft Fabric capacity calculator: /tools/microsoft-fabric-capacity-calculator
• Microsoft Fabric Consulting: /services/fabric-consulting
• Power BI Consulting: /services/power-bi-consulting
• Financial services industry vertical: /industries/financial-services
• FINRA + SEC Copilot Controls Checklist: /blog/finra-sec-microsoft-copilot-controls-checklist-2026
• Schedule discovery: /contact · (888) 381-9725