Enter your search text in the box above

Select a result to preview

How Health Systems Can Join the EMR Cloud Journey

#fabcon2026 #session #learning #microsoft #fabcon2026-session

Description

Major electronic medical records (EMRs) including Epic are transitioning their data offerings to Fabric. This session will investigate how to integrate this data with client data and platforms. We will describe the journey of Corewell Health including Cogito Cloud, a clinical Fabric instance, bi-directional shortcuts, Snowflake integration, and AI-enabled migration to PowerBi.

Key Takeaways

My Notes

Action Items

Slides

ATLANTA
ATLANTA MARCH
MARCH16
16--20,
20,2026
How Health Systems can join
the EMR cloud journey
Presentation for FabCon 2026
Practical Approaches for CIOs Navigating Advanced Analytics, Cloud
Migration and AI
Join us for an interactive, peer-to-peer discussion on
how health systems are modernizing their analytics
strategies to accelerate both cloud adoption and AI
transformation.
As leading EMRs—such as Epic, Cerner, and
Meditech—enable data access through cloud-based
data lake platforms, CIOs and technology leaders
face new opportunities to unlock advanced analytics,
automation, and precision medicine.
This session explores practical approaches for
integrating AI into your analytics roadmap, leveraging
cloud infrastructure to drive innovation, and
overcoming common challenges along the way. Come
ready to share insights and lessons learned with
peers shaping the future of healthcare technology.
Bringing our Experience to the Health Care Industry
Jamie McGlothlin
Health Care Analytics
National Lead
+1 469-995-5171
jamie.mcglothlin@rsmus.com
Jamie is a seasoned health care analytics expert with
35 years of experience, including 13 years in consulting
for health systems. With a PhD in computer science and
17 peer-reviewed publications in leading health care
conferences, Jamie has helped clients achieve millions
of dollars in ROI through improvements in clinical quality,
patient safety, operational efficiency, and cost reduction.
RSM Health Care Advisory Services
LARGEST
3,000+
health care clients
across the United
States
450+
Delivering The
Power of Being
Understood
U.S. provider of
audit, tax and
consulting services
to the middle
market
professionals
serving the health
care industry
Industry
involvement through
the CHIME, HIMSS,
HFMA and more
Connect with me on
Access to the latest
industry trend
analysis and
educational content
A health carefocused service
delivery model, with
a high level of
partner involvement
First-choice advisor
to health care
organizations
Bringing our Experience to the Health Care Industry
Daniella Herskowitz
Health Care Analytics
+1 347-882-1269
daniella.herskowitz@rsmus.com
Daniella is a health care analytics consultant who
helps organizations modernize their data capabilities
and drive actionable insights. She has partnered with
numerous health care organizations on initiatives
spanning data strategy, reporting and modernization,
and advanced analytics.
RSM Health Care Advisory Services
LARGEST
3,000+
health care clients
across the United
States
450+
Delivering The
Power of Being
Understood
U.S. provider of
audit, tax and
consulting services
to the middle
market
professionals
serving the health
care industry
Industry
involvement through
the CHIME, HIMSS,
HFMA and more
Connect with me on
Access to the latest
industry trend
analysis and
educational content
A health carefocused service
delivery model, with
a high level of
partner involvement
First-choice advisor
to health care
organizations
Advantages for Moving to the Cloud
Reduced Maintenance
Standardization
Availability
Scalability
Cost
Robustness
Security
Software Consolidation
Artificial Intelligence
Interoperability
Access to Large Data Sets
Advanced Tools
Challenges with Moving to the Cloud
Cost
Migration
Level of Effort
Timeline
Security
▪ Cost is harder to know
▪ Cost can be greater
▪ Dual licenses during
transition
▪ Migrating data
▪ Migrating
visualizations
▪ Consolidating tools
▪ Time to train team
▪ Organization Priorities
▪ Transition period
▪ Regulations and
Requirements
Example Integrations
CRM
Chronic Care
Management
Assisted Living
Social Work
Cost
School
Home Health
ERP
Transportation
LTACH
Patient Experience
Acute Care EMR
Example Integrations
Acute Care EMR
Home Health
Assisted Living
LTACH
School
Chronic Care Management
Transportation
Cost
CRM
ERP
Social Work
Patient Experience
Example Value External Large Datasets
Accessing or even integrating large external data sources can provide valuable insight
Benchmarks
Quality, Supply Cost, RVU, LOS, Patient Experience
Social Determinants of Health
Housing, Traffic, Nutrition, Legal data
Claims
Market analysis, referral management
Transparency
Payer Transparency, Provider Transparency
Pricing
Calendars
Holidays, Events, Weather, Air Quality
Research
Public datasets, NIH, Clinical Trials
Census
Demographics, Population Growth
Genome
Precision Medicine, Research
Social Work and Behavioral Health
Adverse Events, Contact Details
Epic Cloud Use Case
Why Transition to Cogito Cloud?
Epic Fabric Value Proposition
Hourly Refresh
Get data faster
Managed
Service
Generative AI & machine
learning capabilities
Emmie enablement
New features only
available in the cloud
On-prem Epic will
eventually be deprecated
Data Enclaves
and Shares
Shortcuts
Use data without copying
Genomics
Supported integration of Clarity
and external data for
visualization in Slicer/Dicer
Community Registries & OMOP
Standard Supported
Epic Cogito
Current State
Chronicles
Future State
Clarity
Oracle on SQL Server (On-prem)
Chronicles
(ODB)
Data Ingestion
Client
Azure
Data Lake Storage
Caboodle
SQL Server (On-prem)
Data Warehouse
Raw
Tier
Cleansed
Tier
Transformed
Tier
Nebula
Special extensions to Caboodle
via SSIS packages
Fabric
About the Client
Large Nonprofit
Health System
Based
in the Midwest
21 hospitals,
over 6,000 beds
and 300+ locations
More than
12,000 physicians and
65,000 employees
$15 B +
in revenue
Technology Stack
Key Sources
Support Systems
Technology (at start)
Data Strategy Roadmap
Capability
Milestone
Q4-2025
Decision: Migrate Fully to Fabric or
Maintain Hybrid Model with Snowflake
Q1-2026
Q2-2026
Q3-2026
Q4-2026
Corewell Fabric POC incl. Capability Testing
Q1-2027
Q2-2027
Q3-2027
Epic Fabric Go-Live
Fabric ServiceNow POC
Fabric POCs
Epic Fabric Testing (Clarity / Caboodle / Shortcuts)
Governed Gold Layer in Fabric
Snowflake on Azure vs AWS POC
Infrastructure
If applicable: Move Snowflake onto Azure
AI Sandbox POC in Fabric
AI & Data
Governance
Operationalize Priority AI Use Cases
AI Enablement for Clinical Intervention / Genome Databases and similar
Purview Integration & Data Governance Implementation
Qualtrics Implementations & Integration into Fabric
Additional Sources
(2-3 projects)
UKG Integration
Additional Data Sources
Power BI Migration
Reporting
Q4-2025
Key Financial
Milestones
Client Fabric
Q1-2026
Snowflake on Azure
Q2-2026
Epic Fabric
Q3-2026
Q4-2026
Retire AWS
for ML/Ops
Q1-2027
Q2-2027
Q3-2027
Retire SAP BO
Reduce Fivetran &
Snowflake Spend
Engagement Goals
Independent
Data Stewardship
Keep control of all
enterprise data, not just
what Epic chooses to
expose. Develop a nonEpic Fabric seamlessly
integrated with Epic.
Cost-Optimized
Architecture
AI & Advanced
Analytics Enablement
Design roadmap,
platform, BI tools and
refresh strategies to
balance insight with
affordability and
standardization.
Prepare environment to
fuel predictive models,
machine learning, and
innovation across
systems.
Prove it
Create meaningful tests,
proof of concepts and
decision points. Prove out
theories
without performing
throw-away work.
The Approach
A collaborative path built with Microsoft, the Client and RSM
Start Small and Prove Value
Establish a Shared Foundation
▪ Targeted proofs of concept using Microsoft Fabric,
Power BI, AI and Epic Data
▪ Focused on real use cases not theory
▪ Designed to learn quickly and build confidence
▪ Place Epic-adjacent data closer to Epic-enabled
Microsoft Fabric
▪ Reduce friction between clinical, operational, and
financial data
▪ Create a foundation that supports future growth without disruption
Connect, Not Disrupt
Simplify How Insights are Delivered
▪ Thoughtful integration with Snowflake where it already adds value
▪ Leverage modern capabilities like shortcuts and shared tables
Align platforms over time rather than forcing change
▪ Bring analytics tools closer together where it makes sense
▪ Reduce overlap and complexity across reporting platforms
▪ Make it easier for teams to find and trust the data
they need
▪ Consolidate Business Intelligence Tools to Fabric Capacity
▪ Sunset SAP and Qlik, Scale down Tableau, Snowflake, AWS
Fabric + Snowflake Performance Validation
What We Tested
We conducted a series of performance, cost, and interoperability tests
between Snowflake on Azure and Snowflake on AWS while interacting with
Microsoft Fabric, including:
▪ Write performance from Snowflake → Fabric
▪ Read performance from Fabric → Snowflake
▪ Iceberg table interoperability
▪ Stored procedures and multi-table joins
▪ Query performance across native + Iceberg tables
▪ Power BI semantic model refresh against Fabric data
What We Proved
Iceberg "shortcut"
functionality worked as expected
Snowflake on Azure was
13.2 % faster than Snowflake on AWS
Estimated ~13% cost savings
when integrating with Epic Cogito cloud
Finding savings
$3M+
in Savings Annually
Stop paying $ to copy data
Save $ on FiveTran, Qlik, Dbt
Use Epic data in place
Reduce Snowflake cost
Consolidate BI and AI
Save on SAP, Qlik, Tableau, SageMaker, StreamLit
Increase Self Service and Data Availability
Save $ on FiveTran, Qlik, BI staff. Leverage Copilot Agent
to accelerate development and empower users
Other Use Cases
Additional Use Cases
County Health Care
District
Organ
Procurement
Behavioral Health
– Fabric
▪ ERP (Oracle)
▪ EMR (TrueNorth)
▪ EMR (NextGen)
▪ Hospital EMR (Epic)
▪ Quality System (QPulse)
▪ Staffing (UKG)
▪ Clinic EMR (AllScripts)
▪ UNOS
▪ Senior Care (Matrix Care)
▪ School, Staffing (UKG)
▪ CRM (SalesForce)
Getting Started
Microsoft’s Azure Accelerate program can co-fund pilots, planning
& migration
Kickstart Your Fabric Journey with Microsoft Funding
Microsoft offsets costs for clients to
stand up their own Fabric or migrate
Snowflake to Azure, including
proof-of-concept builds
Achieve measurable ROI
faster with co-funded pilots
and guided execution
Funded
Pilots &
Migration
Faster Time
to Value
Funded
Planning &
Roadmap
Data & AI
Enablement
Microsoft provides up to $25K to
support an assessment and
roadmap—helping hospitals
plan their Fabric and data
strategy at little to no cost
Support for data migration,
integration, and AI readiness on
Fabric
Microsoft Fabric:
Unified analytics
platform
▪ Seamless integration
within the Microsoft
ecosystem (e.g., Power BI,
Azure, OneLake)
▪ Optimized for real-time
analytics and insights
▪ Unified data architecture
that simplifies analytics
and governance
▪ Shortcuts & Mirroring
Fabric Roadmap for Epic Healthcare Customers
RSM is uniquely positioned to support end users at the right time and in the right place, aligning day-to-day Epic workflows with the data
transformation needed to drive real adoption and outcomes. This enables, for the first time, the integration of Epic data with external clinical,
operational, and financial data sources into a unified, trusted view for decision-making and true return on investment.
Fabric Roadmap
Fabric foundational
setup
Assess
data sources
Cogito Cloud
integration
Define migration
roadmap
Phase
Enable analytics &
reporting
Surface insights
and finalize plan
Estimated fees
Fabric Roadmap
$15,000
Microsoft Funding
($15,000)
TOTAL
$0.00
Our engagement methodology
Fabric Roadmap
Key Deliverables
Critical Decisions We Help With
The Fabric Roadmap creates the plan for health systems
to migrate to the cloud and integrate with Epic’s data lake.
This exercise includes:
▪ Tools Rationalization
▪ When to migrate to Cogito Cloud.
▪ Data Platform Roadmap
▪ Which legacy tools to retire or retain.
▪ Migration Plan
▪ How to integrate Epic data with enterprise
data lakes.
▪ Evaluating tools and existing platforms
▪ Identifying key data sources
▪ Cost and ROI Assessment
▪ Outlining integration strategy with Microsoft Fabric and
other platforms
▪ Cost and ROI modeling for cloud adoption.
▪ Sequencing migration phases and timelines
▪ Cost and ROI analysis to guide decision making
Governance, change management, operational readiness, and end-user adoption across every phase.
Fabric POC for health care providers on Epic
A hands-on proof of concept that models Epic-adjacent data in Microsoft Fabric, connects to Epic data and Power BI, and illustrates the value of
Microsoft Fabric while providing a foundation for scalable analytics and future cloud adoption.
Fabric POC
Fabric foundational
setup
Select a
data source
Build Power
BI report
Model one
star schema
Phase
Demo & validate
POC
Surface insights
and finalize POC
Estimated fees
Fabric POV
$45,000
Microsoft Funding
($15,000)
TOTAL
$30,000.00
Our engagement methodology
Fabric POC
Key Deliverables
Data Source Examples
The Fabric POC demonstrates how Microsoft Fabric can
unify data and analytics for healthcare organizations. This
POC will demonstrate the value health systems can
achieve by having their own Fabric tenant and integrating it
with Epic data via Fabric shortcuts. We will model a single
star schema (one fact table and its dimensions) from a
selected data source and build a Power BI report to
showcase the platform’s capabilities. This exercise
highlights Fabric’s potential for scalability, governance,
and advanced analytics.
▪ Setup and configuration of Fabric
▪ Time and Attendance/Payroll
▪ Star schema modeling for a single
star in one data source
▪ ERP
▪ Power BI report connected to Fabric
▪ Population Health
▪ Demo session with stakeholders
▪ Recommendations for full scale
adoption
▪ Patient Experience
▪ Supply Chain
▪ Cost
Copilot AI Power BI For Epic POV
Demonstrate AI-driven insights and productivity in Power BI for Epic health care clients.
Copilot POV
Enable Copilot in
Power BI
Select Target
Report
Phase
Demo AI
Capabilities
Train
Copilot
Validate Business
Impact
Estimated fees
Fabric POV
$15,000
Microsoft Funding
($15,000)
TOTAL
$0.00
Our engagement methodology
Copilot POV
Key Deliverables
Critical Decisions we help with
The Copilot POV demonstrates how AI can transform
reporting and analytics in Power BI. With Epic transitioning
to Microsoft Fabric, this enables users to ask questions of
the Epic health care data. This also allows a health system
to see the value and cost savings of PowerBI. We enable
Copilot on a selected report, train it on commonly asked
business questions, and showcase how users can interact
with data using natural language. This exercise highlights
potential efficiency gains, improved insights, and the value
of AI-driven analytics for healthcare organizations.
▪ Copilot Enablement in Power BI
▪ Which reports and use cases benefit most
from Copilot
▪ Report Selection and Configuration
▪ AI Training on FAQs and Key Metrics
▪ Demo Session with Stakeholders
▪ ROI and Adoption
Recommendations
▪ How to get more value out of Epic data
and Fabric
▪ How to scale AI capabilities across the
organization
Without governance and adoption, even the most advanced AI becomes unused technology
Ideation Process
Week 1 & 2
Week 3
Week 4
Week 5 & 6
DATA REQUEST
REVIEW/ANALYZE
WORKSHOP
RECOMMENDATION/OPPORTUNITY
Data Request List/Stakeholders
Data Driven - Analysis
Collaboration
Validation/Final Readout
Final Read out on Recommendation and
opportunities for Margin Improvement
Understanding of
performance and
existing benchmark
Implement
Create workshop
schedule / meeting
invite for all
workstreams
Receive all request
documents
Kick-off
Identify client key stakeholders
for each workstream
Document and
understand the
high-level process
flow and controls
Review and align
if opportunities
with stakeholders
Output
Provide
Document
Request
List (DRL) by
each workstream
Interview with
identified
stakeholder for
each workstream.
Discuss analyzed
data for gaps /
opportunities
Review received documents
Identify gaps / opportunities
Compare with Industry
leading practices
Draft version of
areas/opportunity for margin
improvement
Kick Off call with all identified Key Stakeholders
RSM and Azure: Innovate, Ideate and Deploy
AI solutions for health care powered by Microsoft Azure OpenAI GPT-4
From insight to impact with AI, analytics and automation
RSM’s artificial intelligence ideation assessment helps health care leaders identify
where AI and data innovation—powered by Microsoft Azure—can have the biggest
impact. Through focused workshops, we engage your team to uncover key
challenges and opportunities, then deliver a clear, prioritized roadmap of highvalue use cases. We help you envision what’s possible, rapidly prototype solutions
and set the stage for responsible AI adoption that drives real results.
Ideation
Workshop
Analyze and
Priotize
Design
and Build
Deploy
Patient
messaging
automation
Revenue cycle
automation
Why partner with RSM?
▪ Integration with your
existing technology: No
major platform overhauls
required and minimal
licensing costs
Data analysis and
reporting
▪ Proven three-to-one return
on investment: Delivering
measurable impact and
efficiency
Supply chain
management
▪ Scalable foundation:
Accelerates future use case
adoption
Support
Quality control
and assurance
Our implementation process
AI use cases for
health care
Your unique use
case
AI use case deployments and solutions
Hospitals and
health systems
Physician practice
groups
Private payers
And more
3,000+
Azure funding opportunities
Revenue cycle optimizations: Create a balance between prior
authorization challenges, claims status, letters of appeal and
much more to accelerate financial improvements
Up to $25,000
Provider messaging modernization: Improve provider burnout
with streamlined and efficient communication with patients and
community
available for partner-led proof of concept/pilot for
Azure AI and analytics programs
Implementation financial analysis: Determine benefit and cost
levers for each prioritized use case and draft business case
models, forecasting benefits and costs
Up to $50,000
available for partner-led deployment activities
Governance framework: Evaluate business processes to
identify and incorporate third-party, external and internal AI
systems in your governance program
health care
clients across the
United States
Modern healthcare
No. 9
top management
consulting firms
350+
professionals
serving the health
care industry
Largest
U.S. provider of
assurance, tax
and consulting to
the middle market
A health carefocused service
delivery model, with
a high level of
partner involvement
The RSM
advantage
Appendix Slides
As a first-choice advisor, the RSM health care team offers the industry a broad range of management, technology, financial, risk
and transaction consulting—as well as assurance and tax-related services.
Innovative services to address your key business issues
Mergers and
acquisitions
Margin
improvement
Payment
strategy
Technology
and digital
transformation
Enterprise,
operational and
regulatory risk
Cybersecurity and
data privacy
Audit, tax and
technical
accounting
Delivered by experienced service line and dedicated industry professionals
▪ Valuation
▪ Due diligence (buy/sell)
– Financial
– Tax
– IT/cybersecurity
– Operations
– Billing/coding audits
▪ Merger integration
▪ Divestitures/carve-outs
▪ Joint ventures/strategic
partnerships
▪ Revenue cycle
operations
▪ Revenue integrity
▪ Managed care strategy
▪ Governmental funding
strategy
▪ Supply chain
▪ Clinical operations
▪ Pharmacy strategy
▪ Enabling technology
▪ Service line strategy
▪ Data analytics
▪ Uncompensated care
▪ Payment strategy
– Cost-based
– Ambulatory
– Prospective
– Value-based
– Managed care
▪ Pricing transparency
▪ Pharmacy strategy and
section 340B
▪ Medicare and Medicaid
cost reporting
▪ Digital workforce
strategy and
implementation
▪ AI, machine learning
and automation
▪ Business intelligence
analytics
▪ Electronic health
records (EHR)
▪ Enterprise resource
planning (ERP)
▪ Revenue cycle
management (RCM)
▪ Internal audit
▪ Regulatory and
compliance
▪ Enterprise risk
management (ERM)
▪ Operational risk
advisory
▪ Financial investigations
and disputes (FC)
▪ HIPAA
▪ HITRUST
▪ Medical device security
and compliance
▪ Cybersecurity strategy
and operations
▪ Chief information
security officer (CISO)
advisory
▪ PCI DSS
▪ Security architecture
▪ Cyber testing and
response
▪ Business continuity
planning
▪ Managed security
services
▪ Audit/tax
▪ Transformative event
services
▪ Financial reporting
▪ Global accounting
▪ New standards
implementation
▪ Emerging technology
adoption
▪ Financial accounting
as a service (FaaS)
Innovative margin transformation solutions
Revenue cycle
Governance, organizational
structure and human capital
Payor strategy
Perioperative services
Managed care strategy
Emergency department process
Price transparency
Care management and patient
throughput
Net revenue modeling
Labor resource management
Underpayment recovery
Service line and business strategy
Outpatient services
Value-based, population health
and alternative payment models
Operationalized technology,
analytics and automation
Ambulatory/provider and clinic
practices
Government funding
Patient experience
Medicare cost reporting
Performance and production
management
Workflow optimization
Denials prevention
Data, technology and innovation
Clinical operations
Advanced analytics
ERP integration/optimization
Strategic solutions
Charge master
Artificial intelligence
Cloud migration
Executive reporting
Charge capture and reconciliation
Process Automation
EHR optimization
Tool Rationalization
Clinical documentation
improvement
Nonlabor expense reduction
Uncompensated care funding
strategy
Coding reviews and education
Supply chain strategy
Medicaid funding strategy
Item master alignment
Group purchasing organization
market assessment
Transplant payments
HIM operations standardization
Revenue integrity program
development
Wage index and occupational mix
Supply chain
Logistics─ inventory and
distribution
Purchased services
Hospital special designations
Direct (GME) and indirect (IME)
medical education funding
Pharmacy 340B
This document contains general information, may be based on authorities that are subject to change, and is not a substitute for professional advice or services. This document does not constitute assurance, tax, consulting, business, financial, investment, legal or other professional advice, and you should consult a qualified professional advisor before taking any action based on the information herein. RSM US LLP, its affiliates and related entities are not
responsible for any loss resulting from or relating to reliance on this document by any person. Internal Revenue Service rules require us to inform you that this communication may be deemed a solicitation to provide tax services. This communication is being sent to individuals who have subscribed to receive it or who we believe would have an interest in the topics discussed. RSM US LLP is a limited liability partnership and the U.S. member firm of RSM
International, a global network of independent assurance, tax and consulting firms. The member firms of RSM International collaborate to provide services to global clients, but are separate and distinct legal entities that cannot obligate each other. Each member firm is responsible only for its own acts and omissions, and not those of any other party. Visit rsmus.com/aboutus for more information regarding RSM US LLP and RSM International. RSM, the RSM logo
and the power of being understood are registered trademarks of RSM International Association.
© 2024 RSM US LLP. All Rights Reserved.
Health care margin transformation
services
Achieve financial and operational
In today’s health care landscape, margins are squeezed, costs are escalating and
sustainability
regulations continue to multiply. We’re here to help you harness this new reality by
leveraging data-driven strategies, cutting-edge technology and innovative solutions
to unlock revenue potential, drive costs reductions and establish a sustainable
model for the future.
Revenue
cycle
Supply
chain
Clinical
operations
ACHIEVE NET REVENUE POTENTIAL
Discover opportunities to enhance your overall revenue performance and reduce risks
throughout your health care operations.
DRIVE LABOR AND NON LABOR COST REDUCTION
Uncover opportunities to enhance your overall revenue performance and reduce risks
throughout your health care operations.
TRANSFORM WITH DATA, TECHNOLOGY AND AUTOMATION
Government
funding
Payer
strategy
Let us focus on driving financial sustainability for your organization so you can focus on
providing exceptional care to your community for years to come.
Embrace innovation through the strategic use of technology and data-driven insights.
SUPPORT CHANGE MANAGEMENT
Identify, understand, communicate, teach and support the behavioral changes
necessary to achieve your overall objectives.
This document contains general information, may be based on authorities that are subject to change, and is not a substitute for professional advice or services. This document does not constitute assurance, tax, consulting, business, financial, investment, legal or other professional advice, and you should consult a qualified professional advisor before taking any action based on the information herein. RSM US LLP, its affiliates and related entities are not
responsible for any loss resulting from or relating to reliance on this document by any person. Internal Revenue Service rules require us to inform you that this communication may be deemed a solicitation to provide tax services. This communication is being sent to individuals who have subscribed to receive it or who we believe would have an interest in the topics discussed. RSM US LLP is a limited liability partnership and the U.S. member firm of RSM
International, a global network of independent assurance, tax and consulting firms. The member firms of RSM International collaborate to provide services to global clients, but are separate and distinct legal entities that cannot obligate each other. Each member firm is responsible only for its own acts and omissions, and not those of any other party. Visit rsmus.com/aboutus for more information regarding RSM US LLP and RSM International. RSM, the RSM logo
and the power of being understood are registered trademarks of RSM International Association.
© 2024 RSM US LLP. All Rights Reserved.
Cost Benefit Analysis (Sample)
Sound off.
The mic is all yours.
Influence the product roadmap.
Join the Fabric User Panel
Join the SQL User Panel
Share your feedback directly with our
Fabric product group and researchers.
Influence our SQL roadmap and ensure
it meets your real-life needs
https://aka.ms/JoinFabricUserPanel
https://aka.ms/JoinSQLUserPanel
How was
the session?
Complete Session Surveys in
for your chance to WIN
PRIZES!