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The CFO Guide to Data with Deloitte &
Workday
The CFO Guide to Data with Deloitte & Workday
Looking Forward with Workday is a webinar series designed to give you insight
into how your organization can do more with Workday. This series will share how we
support how you manage your people and your business. Topics will include solution
strategies and roadmaps, specific use cases, live demos, and customer stories.
Help Slides Media
Player
Resource
List
Q&A
Housekeeping Items
Speakers Survey
Housekeeping Items
This presentation may contain forward-looking statements for which there are risks, uncertainties, and
assumptions. If the risks materialize or assumptions prove incorrect, Workday’s business results and directions
could differ materially from results implied by the forward-looking statements. Forward-looking statements include
any statements regarding strategies or plans for future operations; any statements concerning new features,
enhancements or upgrades to our existing applications or plans for future applications; and any statements of
belief. Further information on risks that could affect Workday’s results is included in our filings with the Securities
and Exchange Commission which are available on the Workday investor relations
webpage: www.workday.com/company/investor_relations.php
Workday assumes no obligation for and does not intend to update any forward-looking statements. Any
unreleased services, features, functionality or enhancements referenced in any Workday document, roadmap,
blog, our website, press release or public statement that are not currently available are subject to change at
Workday’s discretion and may not be delivered as planned or at all.
Customers who purchase Workday, Inc. services should make their purchase decisions upon services, features,
and functions that are currently available.
Safe Harbor Statement
Katie Glynn
Senior Manager, Digital
Controllership
Deloitte
Stefan Ball
Sr Solution Marketing Manager
Workday
Agenda
Workday Confidential
01 Deloitte: The Importance of Delivering a
Common Information Model
02 The Workday Enterprise Finance Solution &
Intelligent Data Foundation
03 Demo
04 Customer Use Case Spotlights
05 Q&A
The Importance of
Delivering a
Common
Information Model
Copyright © 2021 Deloitte Development LLC. All rights reserved. 8
Establishing a well-structured CIM is an integral step in achieving finance
transformation outcomes by providing a single source of financial truth in real time
with sufficient granularity.
The importance of developing a structured CIM
Stronger governance,
compliance, and controls
Increased efficiency
and automation
Enhanced
business insights
Domain | Hierarchies | Attributes | Granularity | Sources
Common Information Model (CIM)
Enabled via
Financial consolidation
ERP/transactional
systems
Financial planning &
forecasting
Data warehouses
& data lakes
ERP ERP
ERP ERP
EPM
EPM
EPM
Region Consol
DW
DW
DW
Focus
of
today’s
discussion
Digital finance platform
Cloud
Robotic process
automation (RPA)
Cognitive computing
In-memory
computing
Finance transformation vision
Region Consol Region Consol
Copyright © 2021 Deloitte Development LLC. All rights reserved. 9
Financial Operational
Accounting data elements Management data elements Operational data elements
The CIM defines the granularity of data elements to meet regulatory and statutory
reporting requirements, along with supporting the management and operational
desires of the organization.
Dimensions of the CIM1
Increasing value of business insights requires increasing scope and business partnering in developing the CIM
Customer
Plant
Vendor
Channel
Geography Product
Project
Version
Cost center
Scenario
Business unit Function
Period
Segment
Trading
partner
Currency
Legal entity
Natural
account
Note 1: The CIM illustrated is provided as an example of typical dimensions an organization would include in their CIM but is not intended to be an exhaustive listing
Copyright © 2021 Deloitte Development LLC. All rights reserved. 10
Organizations often face several recurring issues caused by a CIM that is not designed
to meet the needs of both finance and nonfinance stakeholders.
Common challenges organizations may face with their CIM
CIM is out-of-date and no longer relevant due to acquisitions and changes to business
operations and the organization
Multiple technology platforms with inconsistent data definitions and rules
Lack of data governance structure and understanding of data impacts across the organization
Manual spreadsheet processes due to information being maintained outside of source
systems, which results in ungoverned data
Reconciliation issues between finance-controlled data/reporting and operational reporting
not controlled by finance
Copyright © 2021 Deloitte Development LLC. All rights reserved. 11
Developing a set of design principles is important prior to developing your CIM.
Design principles for a well constructed CIM
• Sufficient level of detail to make
decisions and manage the
business, including financial,
operational, and management
reporting
• Design to optimize internal
processes, enable automation,
and limit reconciliation
• Each data element has a single
unique definition and purpose
• Avoid mixing multiple uses in a
single field (for example, cost
center representing both function
and geography)
• Future-proof, with flexibility to
accommodate reorganizations,
acquisitions, and business
changes
• Address current reporting and
analysis needs while attempting
to anticipate future requirements
• Supports all financial,
management, local statutory,
and tax reporting requirements
• Cross-functional design,
including corporate accounting,
external reporting, FP&A,
business finance, local
accounting, and tax
• Consistent across all regions,
divisions, and subsidiaries to
support financial consolidation
and comparative analysis
• Seek to eliminate mapping
(where possible) with consistent
master data across the
enterprise
• Clear definitions, documentation,
and training to ensure proper use
and avoid “drift” over time
• Data governance organization,
process, and tools to manage
additions and changes over time
Granular Unique Flexible
Integrated Consistent Governed
Copyright © 2021 Deloitte Development LLC. All rights reserved. 12
As you move forward, some important areas to consider that we discussed today
include:
Specific takeaways for designing a sustainable CIM
Build for the future: Protect your CIM redesign from old ways of thinking. Consider how your system
landscape will change over time, particularly from M&A or reorganizations
Keep the CIM clean: Ensure data elements have a single unique definition and purpose, and avoid
mixing multiple uses in a single field
Reporting requirements: Ensure your CIM is designed to support your organization’s financial,
management, local statutory, and tax reporting requirements
People and change: Develop a workforce to manage the new model by establishing roles and
responsibilities, organization structure, and clear ownership for data management practices
Establish governance: Develop guidelines and principles for enforcing master data management
standards and specifically outline how data is created, modified, and maintained, enabling accurate data
to be leveraged across the enterprise
The Workday
Enterprise
Finance Solution
Workday Enterprise Management Cloud for the CFO
UNIFIED DATA CORE
Accounting Center
Data Hub
5 Solutions
Continuous and
Company-Wide Planning
Intelligent Data
Foundation
High-Performing
Procurement
Decision-Ready
Organization
Global Frictionless
Finance Operations
UNIFIED DATA CORE
Accounting Center
Data Hub
5 Solutions
Intelligent Data
Foundation
UNIFIED DATA CORE
Accounting Center
Data Hub
483 EXABYTES
OF DATA
BY 2025
What if you could turn
business events into
accounting and insight
faster…
What are the sources of my claim,
and their associated accounting?
What are my policies by
product or sales channel?
Which policies are driving our
profits and losses?
Policy
Debit
Customer retention
Policy satisfaction
score
Policy Sales
Channel
Policy Sales Region
Policy settlement
cycle time
Car make Car model
Credit
Policy agent
Policy type
Policy management
Net promoter score
Car mileage
Disconnected and Disparate Environment
• Multiple data sources require significant IT resources to bring different
data types together
• Complex process to create accounting from operational data and doesn’t
support drill back to details
• Limited confidence in data quality results in multiple siloes of “truth”
• Blend high volume operational, workforce, and
financial data to create an enterprise data hub for
finance
Enterprise Data Hub for Finance
Continuous and
Company-Wide Planning
Intelligent Data
Foundation
High-Performing
Procurement
Decision-Ready
Organization
Global Frictionless
Finance Operations
$1M
Saved as a result of insight
from blended data
50 – 60%
Reduction in cost to maintain
accounting rules
20
data sources consolidated
into 1 single source of truth
• Seamlessly create accounting from operational data
while maintaining a connection to source transaction
details
• Connect and secure all critical business data
creating a single source of truth
Data
(Operational, Transactional, etc.)
Fixed Accounting Key
Datamart
Planning
Expenses
Consolidation
Enterprise
Analytics
Operations
ERP
Account
Reconciliation
Data Warehouse
ERP 2 SCM CRM ERP 3
UNIFIED DATA CORE
Accounting Center
Data Hub
+% -%
Operational
Insight
P&L
Plan vs. Actual
Forecast
A Look Inside the Intelligent Data Foundation
Operational &
Benchmark Data
Accounting
Engine
Create Trusted
Insights
Ingest and
Enrich Data
P&L
General
Ledger
Operational
Insights
+% -%
Operational
Insight
Data mapping
Anomaly Detection
Recommendations
Matches
Predictions
Guidance
Plan vs. Actual
Modeling &
Forecasting Forecast
Workday is the Data Hub for Finance
GL HR &
Payroll
Third-Party
HR & FIN
Industry &
Homegrown
CRM Marketing Service Subsidiaries Contract
Labor
Data integration
Data preparation
Data governance
Data discovery
Reports & dashboards
Self-Service, End-to-End Data Hub
Operational
Insights
(+ Accounting Generation
with Accounting Center)
Extended
Ecosystem
History
Use Cases
Operational
Insights
(+ Accounting Generation
with Accounting Center)
Extended
Ecosystem
History
Use Cases
Sample Operational Insights (Professional Services)
OPPORTUNITY PIPELINE:
What is the status of my opportunity
pipeline? What's the value of my
pipeline, and is it sufficient to meet
my goals? What resources are
needed to support these
opportunities?
• CRM system
• Resource scheduling system
• Configure, price, quote system
• Workday HCM
• Workday Financial Mgmt.
• Opportunities
• Worker details
• Current capacity, utilization
• Forecasted capacity, utilization
• Expected contract values
• Bid-to-win ratio
• # of resource types per opportunity
• Late stage pipeline value, and pipeline/
changes by stage, customer, region, etc.
• Opportunities with close date +/- 30 days
• # of opportunities with open proposals
• Avg. median deal size (value)
• Resource assessment based on pipeline
CAPACITY VS. DEMAND:
What is my current demand and
future demand vs. my current and
forecasted capacity? Across
location, skills, cost center, org.
structure?
• CRM
• Workday HCM
• Resource scheduling
• External vendor management
• Project scheduling/collaborative
work mgmt.
• Workday Financial Mgmt.
• SFDC project opportunity forecast
• Customer details
• Actuals (time tracking)
• Project forecast data
• Contract lines hours
• Actuals to date
• Unforecasted backlog
• Forecasted backlog
• Subcontractor forecast vs. actuals
• Forecast remaining needs
• Booking hours demand (SFDC)
BACKLOG REPORT:
What is my backlog vs. forecast?
What service contracts, across which
customers, are outstanding after
accounting for hours billed to date?
What's the impact on profitability?
• CRM system
• Contract lifecycle mgmt.
• Workday Financial Mgmt.
• Customer details
• Project details
• Contract lines
• Backlog (contracted hours)
• Actual hours, forecasted hours
• Actual revenue, expense, profit
• Forecasted revenue, expense, profit
• Backlog (contracted hours) by customer,
project
• Actual hours vs. forecasted hours by
customer, project
• Actual revenue, expense, profit vs.
forecasted revenue, expense, profit - by
customer, project
Business Question Key Blended Metrics
Blended Source Systems Blended Datasets
Sample Operational Insights (Retail)
BUY ONLINE, IN-STORE PICKUP:
What is the true labor cost and fixed
costs to execute and deliver a buy
online, in-store pickup business
model?
• Order management system
• Task management system
• Workday HCM
• Procurement / Supply system
• Task and actual labor to process
• Labor standard time to process orders
• Time to Pick, pack and stage for pick
up
• Pick up estimate/plan vs actual
• Cost by step in business process
• Labor and supply costs
• Time to fulfill each order
• Variance to plan
• Target areas for improvement
HALO EFFECT ANALYSIS:
How do I get a 360-degree view of
how my stores are all performing
across my omnichannel strategy?
How are they driving sales to and
from one another?
• POS system
• Third-party geospatial system
• CRM system
• Workday Financial Management
• Orders by zip code
• Store location data
• Sales & revenue
• Geospatial data
• High level view of store revenue
• Online revenue by store region/zone
• Identifiable traffic to/from various
channels
• Customer profiles tied to visit frequency
and purchase history across channels
BRAND LAUNCH ANALYSIS:
How is my new product performing
across channels, regions, stores,
and variations? Are there supply
chain issues? Is product training
impacting sales? How are customers
responding on social media/reviews?
• POS system
• Inventory management system
• Social media data
• Online / in-store review data
• NPS survey system
• Workday Financial Mgmt.
• Workday HCM & Learning
• Sales & revenue
• Inventory
• Internal worker reviews
• NPS survey responses
• Regionalized social media data
• Employee learning data
• Employee data / location
• Engagement rate and customer
satisfaction by store, region, variation
• Employee training gaps and completions
aligned to customer engagement
activities and satisfaction
• Customer sentiment and review rates per
channel, region, variation, supply chain
Business Question Key Blended Metrics
Blended Source Systems Blended Datasets
Operational
Insights
(+ Accounting Generation
with Accounting Center)
Extended
Ecosystem
History
Workday Analytics Use Cases
Sample Extended Ecosystem Analytics & Reporting
TREASURY ANALYSIS:
How can I get visibility into all of my
cash positions, including
investments and FX hedging, in a
single view?
• Clearwater
• Capella
• Workday Financial Mgmt.
• Clearwater BDS file
• Capella FX BDS file
• Total cash and investments (prior and intraday)
• Cash balance by entity (prior and intraday)
• Cash balances by financial institution (prior & intra)
• Cash balances by currency (prior and intraday)
• Investments & FX hedging (maturing in next 30 days)
SPEND ANALYSIS:
How can we get more granular
insight into SG&A expense and
spend to help cut costs while also
ensuring they don't creep back up?
• External operational system
costs
• Workday Financial Mgmt.
• SG&A
• Store data
• Locations, regions, etc.
• Trees/ hierarchies
• Cost category
• Divisions (i.e. Corporate, Stores, Warehouse)
• Cohorts of stores with similar characteristics (sales,
sales mix, basket size and location)
SEGREGATION OF DUTIES:
As part of overall audit and controls,
how can we identify people who
have access to conflicting business
processes? (e.g. approve spend &
select a vendor)
• External audit systems
• Workday Financial Mgmt.
• Workday HCM
• Compliance logic (list of
conflicts)
• Security domains
• Business processes/tasks
• Workers
• Workers with segregation of duty conflicts across
the entire organization by business process,
security domain, etc.
Key Blended Metrics
Blended Source Systems Blended Datasets
Business Question
ATTRITION & TURNOVER COST:
What is my current turnover rate?
What are onboarding and training
costs per employee? How about
against benchmark and key
competitors? Compared by store?
• External industry turnover and
training cost benchmarks
• Workday HCM
• Workday Learning
• Industry statistics
• Fixed new employee costs
• Training costs
• Employee Data
• Store data
• Turnover rate vs. industry and competitors
• Onboarding and training costs vs. industry and
competitors
• Onboarding and training cost per employee by job
function, store, etc.
• Variance by comparable stores
Operational
Insights
(+ Accounting Generation
with Accounting Center)
Extended
Ecosystem
History
Workday Use Cases
Sample Historical Financial Analytics & Reporting
TRENDING P&L:
How can I get a 5-year historical trended
view of my P&L by business unit,
location, or cost center?
• Legacy financial systems
• Workday Financial Mgmt.
• Legacy P&L information
• Current year P&L information
• 5-year trended P&L by business unit,
location, or cost center
HISTORICAL LABOR COSTS &
PEOPLE HISTORY:
How can I get a 10 year granular view
of Store Labor Costs? Of employee
diversity mix by store?
• Legacy HCM systems
• Workday HCM
• Historical payroll expense
• Current payroll expense
• Historical worker records
• Current recruiting pipeline
• Historical worker records
• Current worker records
• 10 year granular view of store labor
costs by various dimensions
• Diversity index total, location
• % of recruits by region, app source
• % of current employees
• Employees by location and role
TRENDING SPEND ANALYSIS:
How can I get a 7 year granular view of
spend (to the penny) by business unit,
location, or cost center?
• Legacy financial systems
• Workday Financial Mgmt
• Legacy spend information
• Current year spend information
• 7- year trended cost and revenue - plan
vs. actual by channel, end user,
category
• 7- year cost relative to store volume, tier,
size
TRENDING REVENUE ANALYSIS:
How can I get a 8 year granular view of
revenue by business unit, location, or
cost center?
• Legacy Financial Systems
• Workday Financial Mgmt.
• Legacy revenue information
• Current year revenue information
• 8-year trended revenue analysis by
business unit, location, or cost center
Key Blended Metrics
Blended Source Systems Blended Datasets
Business Question
Inability to Answer Key Questions
• Batch processing strips away key dimensions requiring multiple
reporting and BI solutions
• Disparate tools can’t provide a complete view of the business
• Heavy reliance on IT to deliver new or update existing reports
Data-Driven Decision Making
Continuous and
Company-Wide Planning
Intelligent Data
Foundation
High-Performing
Procurement
Decision-Ready
Organization
Global Frictionless
Finance Operations
• Flexible dimensionality supports all reporting
types (financial, management, operational)
60%
Reduction in ledger accounts,
added 9 new reporting dimensions
90%
Adoption of manager self-service;
report package reduced from 3
weeks to real-time
20 Min
From several weeks to produce
regulatory reports
• Democratize secure access to real-time insight
to all corners of the business
• Singular and seamless experience for
transactions and analytics
Adhoc
Analysis
Variance
Reporting
Statutory
Reporting
Consolidated Financial
Statements
Management
Reporting
P&L by
Customer
Narrative
Reporting
Operational
Analysis
Data Warehouse
Enterprise
Analytics
Datamart
UNIFIED DATA CORE
Accounting Center
Data Hub
Region
Project
Cost
Center
Account
Company
Other Vendors
Account
Customer
Location
Invoice
Supplier
Journal
New
Dimension
New
Dimension
Worker
Worker
Customer
Payment
Journal
Invoice
Supplier
Skills
Contract
Subledger Cloud Analytics
GL Balance GL Journal
Multiple Business Intelligence Tools
Cost Center
Project
Region
Flexible Dimensionality Supports all Reporting
Workday Prism Analytics Enriches reporting and analytics with high volumes of historical, operational, and transactional data from non-Workday systems.
Supporting Tools
Reporting & Analytics Use Case Examples
Solution
Reporting & Analytics Use Case Examples
Solution
Reporting & Analytics Use Case Examples
Solution
FP&A
Controller /
Accounting
Workday Financial
Management
Financial & Statutory
Reporting
Transactional Reporting Trend Analysis Ad Hoc Analysis
Variance Analysis
■ Income statement
■ Balance sheet
■ Cash flow statement
■ AR transaction detail
■ AP transaction detail
■ Customer transaction
detail
■ 5 year income
statement
■ 7 year balance sheet
■ 3 year cash flow
statement
■ Past due receivables by
root cause
■ DSO drivers
■ Ledger balance
analysis
■ Expense plan vs. actual
■ Revenue plan vs. actual
■ YoY income statement
with flux analysis
Narrative Reporting
■ Board packages
■ Board presentation
Line of Business
■ Report writer ■ Report writer
■ Dashboards
■ Worksheets
■ Discovery boards
■ Report writer ■ Report writer ■ Discovery boards ■ Worksheets
■ Slides
Workday Prism Analytics Enriches reporting and analytics with high volumes of historical, operational, and transactional data from non-Workday systems.
Supporting Tools
Workday Adaptive
Planning
Forecasting Plans vs. Actuals Trend Analysis Ad Hoc Analysis
Variance Analysis
■ Revenue forecast
■ Expense forecast
■ Inventory forecast
■ Sales forecast vs. actual
■ Strategic plan vs. actual
■ Corporate budget vs.
actual
■ Revenue and expense
trending
■ Inventory trend
■ Pipeline and forecast trend
■ Sales expense as percentage
of revenue
■ Operating cash flow as
percentage of revenue
■ Revenue analysis
■ YTD T&E with flux analysis
■ New vs. upsell vs. churn
■ Net change in ARR
■ Web reporting
■ OfficeConnect
■ Web reporting
■ OfficeConnect
■ Web reporting
■ OfficeConnect
■ Web reporting
■ OfficeConnect
■ Web reporting
■ OfficeConnect
Workday Prism Analytics Enriches reporting and analytics with high volumes of historical, operational, and transactional data from non-Workday systems.
Supporting Tools
Workday Financial
Management
Management Reporting Variance Analysis Ad Hoc Analysis
Trend Analysis
■ BU/cost center income statement
■ BU/cost center balance sheet
■ BU/cost center cash flow statement
■ BU/cost center YoY income statement
with flux analysis
■ BU/cost center QoQ balance sheet
analysis
■ BU/cost center daily expense flux
analysis
■ Revenue analysis by manager,
product, or location
■ Spend analysis by worker, supplier, or
project
■ T&E analysis by category, worker, or
project
■ BU/cost center 5 year income
statement
■ BU/cost center 3 year balance sheet
■ BU/cost center 7 year SG&A analysis
■ Report writer
■ Dashboards
■ Report writer
■ Dashboards
■ Report writer
■ Dashboards
■ Discovery boards
■ Dashboards
■ Worksheets
Finance and HR Expertise
Security Distribution Experience
Workday Analytics Adds Unique Value
DEMO
Putting Your Data to Work
100% visibility into every
transaction, enabling real-
time analytics on the
global business.
100%
Visibility
Identification of a volume
variance resulted in $1M in
operational savings.
Volume Variance
Identified Issue
Migrated 12 Years
of Data
Migrated and stored
historical records containing
12 years of finance and HR
data, required by public
institutions, and turned off its
legacy systems.
Eliminated the financial
data warehouse and
related data sweeps
thereby enabling real-time
access to financial data.
Eliminated the financial
data warehouse
Value Realized
Single view of plans, forecasts
and actuals for finance
Automated calculations for
manager bonus eligibility
Able to support strategic
corporate initiatives
Personalized operational
metrics distributed to managers
Value Realized
Fewer requests for manual
research and reporting
Single, integrated view of
operational and financial data
Greater accuracy and control;
metrics calculated by system
Corporate goals and progress
report with 100+ metrics
Q&A
Thank you for joining us!
Workday Confidential
Available On-Demand
All Hands on Deck: Leveraging
IT Relationships to Build
Resilience and Weather the
Storms to Come
Available On-Demand
Elevating Employee Engagement
and Experience with Workday
and Josh Bersin
May 18, 2021
Tuesday 10 AM PT
Plan-to-Hire: automation and
Reconciliation with Adaptive
Planning
May 20, 2021
Thursday 10 AM PT
Workday’s Approach to Building
Machine Learning into the Core
Join us at
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May - August 2021

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The CFO Guide to Data with Deloitte & Workday

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  • 2. The CFO Guide to Data with Deloitte & Workday Looking Forward with Workday is a webinar series designed to give you insight into how your organization can do more with Workday. This series will share how we support how you manage your people and your business. Topics will include solution strategies and roadmaps, specific use cases, live demos, and customer stories.
  • 3. Help Slides Media Player Resource List Q&A Housekeeping Items Speakers Survey Housekeeping Items
  • 4. This presentation may contain forward-looking statements for which there are risks, uncertainties, and assumptions. If the risks materialize or assumptions prove incorrect, Workday’s business results and directions could differ materially from results implied by the forward-looking statements. Forward-looking statements include any statements regarding strategies or plans for future operations; any statements concerning new features, enhancements or upgrades to our existing applications or plans for future applications; and any statements of belief. Further information on risks that could affect Workday’s results is included in our filings with the Securities and Exchange Commission which are available on the Workday investor relations webpage: www.workday.com/company/investor_relations.php Workday assumes no obligation for and does not intend to update any forward-looking statements. Any unreleased services, features, functionality or enhancements referenced in any Workday document, roadmap, blog, our website, press release or public statement that are not currently available are subject to change at Workday’s discretion and may not be delivered as planned or at all. Customers who purchase Workday, Inc. services should make their purchase decisions upon services, features, and functions that are currently available. Safe Harbor Statement
  • 5. Katie Glynn Senior Manager, Digital Controllership Deloitte Stefan Ball Sr Solution Marketing Manager Workday
  • 6. Agenda Workday Confidential 01 Deloitte: The Importance of Delivering a Common Information Model 02 The Workday Enterprise Finance Solution & Intelligent Data Foundation 03 Demo 04 Customer Use Case Spotlights 05 Q&A
  • 7. The Importance of Delivering a Common Information Model
  • 8. Copyright © 2021 Deloitte Development LLC. All rights reserved. 8 Establishing a well-structured CIM is an integral step in achieving finance transformation outcomes by providing a single source of financial truth in real time with sufficient granularity. The importance of developing a structured CIM Stronger governance, compliance, and controls Increased efficiency and automation Enhanced business insights Domain | Hierarchies | Attributes | Granularity | Sources Common Information Model (CIM) Enabled via Financial consolidation ERP/transactional systems Financial planning & forecasting Data warehouses & data lakes ERP ERP ERP ERP EPM EPM EPM Region Consol DW DW DW Focus of today’s discussion Digital finance platform Cloud Robotic process automation (RPA) Cognitive computing In-memory computing Finance transformation vision Region Consol Region Consol
  • 9. Copyright © 2021 Deloitte Development LLC. All rights reserved. 9 Financial Operational Accounting data elements Management data elements Operational data elements The CIM defines the granularity of data elements to meet regulatory and statutory reporting requirements, along with supporting the management and operational desires of the organization. Dimensions of the CIM1 Increasing value of business insights requires increasing scope and business partnering in developing the CIM Customer Plant Vendor Channel Geography Product Project Version Cost center Scenario Business unit Function Period Segment Trading partner Currency Legal entity Natural account Note 1: The CIM illustrated is provided as an example of typical dimensions an organization would include in their CIM but is not intended to be an exhaustive listing
  • 10. Copyright © 2021 Deloitte Development LLC. All rights reserved. 10 Organizations often face several recurring issues caused by a CIM that is not designed to meet the needs of both finance and nonfinance stakeholders. Common challenges organizations may face with their CIM CIM is out-of-date and no longer relevant due to acquisitions and changes to business operations and the organization Multiple technology platforms with inconsistent data definitions and rules Lack of data governance structure and understanding of data impacts across the organization Manual spreadsheet processes due to information being maintained outside of source systems, which results in ungoverned data Reconciliation issues between finance-controlled data/reporting and operational reporting not controlled by finance
  • 11. Copyright © 2021 Deloitte Development LLC. All rights reserved. 11 Developing a set of design principles is important prior to developing your CIM. Design principles for a well constructed CIM • Sufficient level of detail to make decisions and manage the business, including financial, operational, and management reporting • Design to optimize internal processes, enable automation, and limit reconciliation • Each data element has a single unique definition and purpose • Avoid mixing multiple uses in a single field (for example, cost center representing both function and geography) • Future-proof, with flexibility to accommodate reorganizations, acquisitions, and business changes • Address current reporting and analysis needs while attempting to anticipate future requirements • Supports all financial, management, local statutory, and tax reporting requirements • Cross-functional design, including corporate accounting, external reporting, FP&A, business finance, local accounting, and tax • Consistent across all regions, divisions, and subsidiaries to support financial consolidation and comparative analysis • Seek to eliminate mapping (where possible) with consistent master data across the enterprise • Clear definitions, documentation, and training to ensure proper use and avoid “drift” over time • Data governance organization, process, and tools to manage additions and changes over time Granular Unique Flexible Integrated Consistent Governed
  • 12. Copyright © 2021 Deloitte Development LLC. All rights reserved. 12 As you move forward, some important areas to consider that we discussed today include: Specific takeaways for designing a sustainable CIM Build for the future: Protect your CIM redesign from old ways of thinking. Consider how your system landscape will change over time, particularly from M&A or reorganizations Keep the CIM clean: Ensure data elements have a single unique definition and purpose, and avoid mixing multiple uses in a single field Reporting requirements: Ensure your CIM is designed to support your organization’s financial, management, local statutory, and tax reporting requirements People and change: Develop a workforce to manage the new model by establishing roles and responsibilities, organization structure, and clear ownership for data management practices Establish governance: Develop guidelines and principles for enforcing master data management standards and specifically outline how data is created, modified, and maintained, enabling accurate data to be leveraged across the enterprise
  • 14. Workday Enterprise Management Cloud for the CFO UNIFIED DATA CORE Accounting Center Data Hub
  • 15. 5 Solutions Continuous and Company-Wide Planning Intelligent Data Foundation High-Performing Procurement Decision-Ready Organization Global Frictionless Finance Operations UNIFIED DATA CORE Accounting Center Data Hub
  • 16. 5 Solutions Intelligent Data Foundation UNIFIED DATA CORE Accounting Center Data Hub
  • 18. What if you could turn business events into accounting and insight faster…
  • 19. What are the sources of my claim, and their associated accounting? What are my policies by product or sales channel? Which policies are driving our profits and losses?
  • 20. Policy Debit Customer retention Policy satisfaction score Policy Sales Channel Policy Sales Region Policy settlement cycle time Car make Car model Credit Policy agent Policy type Policy management Net promoter score Car mileage
  • 21. Disconnected and Disparate Environment • Multiple data sources require significant IT resources to bring different data types together • Complex process to create accounting from operational data and doesn’t support drill back to details • Limited confidence in data quality results in multiple siloes of “truth” • Blend high volume operational, workforce, and financial data to create an enterprise data hub for finance Enterprise Data Hub for Finance Continuous and Company-Wide Planning Intelligent Data Foundation High-Performing Procurement Decision-Ready Organization Global Frictionless Finance Operations $1M Saved as a result of insight from blended data 50 – 60% Reduction in cost to maintain accounting rules 20 data sources consolidated into 1 single source of truth • Seamlessly create accounting from operational data while maintaining a connection to source transaction details • Connect and secure all critical business data creating a single source of truth Data (Operational, Transactional, etc.) Fixed Accounting Key Datamart Planning Expenses Consolidation Enterprise Analytics Operations ERP Account Reconciliation Data Warehouse ERP 2 SCM CRM ERP 3 UNIFIED DATA CORE Accounting Center Data Hub
  • 22. +% -% Operational Insight P&L Plan vs. Actual Forecast A Look Inside the Intelligent Data Foundation Operational & Benchmark Data Accounting Engine Create Trusted Insights Ingest and Enrich Data P&L General Ledger Operational Insights +% -% Operational Insight Data mapping Anomaly Detection Recommendations Matches Predictions Guidance Plan vs. Actual Modeling & Forecasting Forecast
  • 23. Workday is the Data Hub for Finance GL HR & Payroll Third-Party HR & FIN Industry & Homegrown CRM Marketing Service Subsidiaries Contract Labor
  • 24. Data integration Data preparation Data governance Data discovery Reports & dashboards Self-Service, End-to-End Data Hub
  • 25. Operational Insights (+ Accounting Generation with Accounting Center) Extended Ecosystem History Use Cases
  • 26. Operational Insights (+ Accounting Generation with Accounting Center) Extended Ecosystem History Use Cases
  • 27. Sample Operational Insights (Professional Services) OPPORTUNITY PIPELINE: What is the status of my opportunity pipeline? What's the value of my pipeline, and is it sufficient to meet my goals? What resources are needed to support these opportunities? • CRM system • Resource scheduling system • Configure, price, quote system • Workday HCM • Workday Financial Mgmt. • Opportunities • Worker details • Current capacity, utilization • Forecasted capacity, utilization • Expected contract values • Bid-to-win ratio • # of resource types per opportunity • Late stage pipeline value, and pipeline/ changes by stage, customer, region, etc. • Opportunities with close date +/- 30 days • # of opportunities with open proposals • Avg. median deal size (value) • Resource assessment based on pipeline CAPACITY VS. DEMAND: What is my current demand and future demand vs. my current and forecasted capacity? Across location, skills, cost center, org. structure? • CRM • Workday HCM • Resource scheduling • External vendor management • Project scheduling/collaborative work mgmt. • Workday Financial Mgmt. • SFDC project opportunity forecast • Customer details • Actuals (time tracking) • Project forecast data • Contract lines hours • Actuals to date • Unforecasted backlog • Forecasted backlog • Subcontractor forecast vs. actuals • Forecast remaining needs • Booking hours demand (SFDC) BACKLOG REPORT: What is my backlog vs. forecast? What service contracts, across which customers, are outstanding after accounting for hours billed to date? What's the impact on profitability? • CRM system • Contract lifecycle mgmt. • Workday Financial Mgmt. • Customer details • Project details • Contract lines • Backlog (contracted hours) • Actual hours, forecasted hours • Actual revenue, expense, profit • Forecasted revenue, expense, profit • Backlog (contracted hours) by customer, project • Actual hours vs. forecasted hours by customer, project • Actual revenue, expense, profit vs. forecasted revenue, expense, profit - by customer, project Business Question Key Blended Metrics Blended Source Systems Blended Datasets
  • 28. Sample Operational Insights (Retail) BUY ONLINE, IN-STORE PICKUP: What is the true labor cost and fixed costs to execute and deliver a buy online, in-store pickup business model? • Order management system • Task management system • Workday HCM • Procurement / Supply system • Task and actual labor to process • Labor standard time to process orders • Time to Pick, pack and stage for pick up • Pick up estimate/plan vs actual • Cost by step in business process • Labor and supply costs • Time to fulfill each order • Variance to plan • Target areas for improvement HALO EFFECT ANALYSIS: How do I get a 360-degree view of how my stores are all performing across my omnichannel strategy? How are they driving sales to and from one another? • POS system • Third-party geospatial system • CRM system • Workday Financial Management • Orders by zip code • Store location data • Sales & revenue • Geospatial data • High level view of store revenue • Online revenue by store region/zone • Identifiable traffic to/from various channels • Customer profiles tied to visit frequency and purchase history across channels BRAND LAUNCH ANALYSIS: How is my new product performing across channels, regions, stores, and variations? Are there supply chain issues? Is product training impacting sales? How are customers responding on social media/reviews? • POS system • Inventory management system • Social media data • Online / in-store review data • NPS survey system • Workday Financial Mgmt. • Workday HCM & Learning • Sales & revenue • Inventory • Internal worker reviews • NPS survey responses • Regionalized social media data • Employee learning data • Employee data / location • Engagement rate and customer satisfaction by store, region, variation • Employee training gaps and completions aligned to customer engagement activities and satisfaction • Customer sentiment and review rates per channel, region, variation, supply chain Business Question Key Blended Metrics Blended Source Systems Blended Datasets
  • 29. Operational Insights (+ Accounting Generation with Accounting Center) Extended Ecosystem History Workday Analytics Use Cases
  • 30. Sample Extended Ecosystem Analytics & Reporting TREASURY ANALYSIS: How can I get visibility into all of my cash positions, including investments and FX hedging, in a single view? • Clearwater • Capella • Workday Financial Mgmt. • Clearwater BDS file • Capella FX BDS file • Total cash and investments (prior and intraday) • Cash balance by entity (prior and intraday) • Cash balances by financial institution (prior & intra) • Cash balances by currency (prior and intraday) • Investments & FX hedging (maturing in next 30 days) SPEND ANALYSIS: How can we get more granular insight into SG&A expense and spend to help cut costs while also ensuring they don't creep back up? • External operational system costs • Workday Financial Mgmt. • SG&A • Store data • Locations, regions, etc. • Trees/ hierarchies • Cost category • Divisions (i.e. Corporate, Stores, Warehouse) • Cohorts of stores with similar characteristics (sales, sales mix, basket size and location) SEGREGATION OF DUTIES: As part of overall audit and controls, how can we identify people who have access to conflicting business processes? (e.g. approve spend & select a vendor) • External audit systems • Workday Financial Mgmt. • Workday HCM • Compliance logic (list of conflicts) • Security domains • Business processes/tasks • Workers • Workers with segregation of duty conflicts across the entire organization by business process, security domain, etc. Key Blended Metrics Blended Source Systems Blended Datasets Business Question ATTRITION & TURNOVER COST: What is my current turnover rate? What are onboarding and training costs per employee? How about against benchmark and key competitors? Compared by store? • External industry turnover and training cost benchmarks • Workday HCM • Workday Learning • Industry statistics • Fixed new employee costs • Training costs • Employee Data • Store data • Turnover rate vs. industry and competitors • Onboarding and training costs vs. industry and competitors • Onboarding and training cost per employee by job function, store, etc. • Variance by comparable stores
  • 31. Operational Insights (+ Accounting Generation with Accounting Center) Extended Ecosystem History Workday Use Cases
  • 32. Sample Historical Financial Analytics & Reporting TRENDING P&L: How can I get a 5-year historical trended view of my P&L by business unit, location, or cost center? • Legacy financial systems • Workday Financial Mgmt. • Legacy P&L information • Current year P&L information • 5-year trended P&L by business unit, location, or cost center HISTORICAL LABOR COSTS & PEOPLE HISTORY: How can I get a 10 year granular view of Store Labor Costs? Of employee diversity mix by store? • Legacy HCM systems • Workday HCM • Historical payroll expense • Current payroll expense • Historical worker records • Current recruiting pipeline • Historical worker records • Current worker records • 10 year granular view of store labor costs by various dimensions • Diversity index total, location • % of recruits by region, app source • % of current employees • Employees by location and role TRENDING SPEND ANALYSIS: How can I get a 7 year granular view of spend (to the penny) by business unit, location, or cost center? • Legacy financial systems • Workday Financial Mgmt • Legacy spend information • Current year spend information • 7- year trended cost and revenue - plan vs. actual by channel, end user, category • 7- year cost relative to store volume, tier, size TRENDING REVENUE ANALYSIS: How can I get a 8 year granular view of revenue by business unit, location, or cost center? • Legacy Financial Systems • Workday Financial Mgmt. • Legacy revenue information • Current year revenue information • 8-year trended revenue analysis by business unit, location, or cost center Key Blended Metrics Blended Source Systems Blended Datasets Business Question
  • 33. Inability to Answer Key Questions • Batch processing strips away key dimensions requiring multiple reporting and BI solutions • Disparate tools can’t provide a complete view of the business • Heavy reliance on IT to deliver new or update existing reports Data-Driven Decision Making Continuous and Company-Wide Planning Intelligent Data Foundation High-Performing Procurement Decision-Ready Organization Global Frictionless Finance Operations • Flexible dimensionality supports all reporting types (financial, management, operational) 60% Reduction in ledger accounts, added 9 new reporting dimensions 90% Adoption of manager self-service; report package reduced from 3 weeks to real-time 20 Min From several weeks to produce regulatory reports • Democratize secure access to real-time insight to all corners of the business • Singular and seamless experience for transactions and analytics Adhoc Analysis Variance Reporting Statutory Reporting Consolidated Financial Statements Management Reporting P&L by Customer Narrative Reporting Operational Analysis Data Warehouse Enterprise Analytics Datamart UNIFIED DATA CORE Accounting Center Data Hub
  • 35. Workday Prism Analytics Enriches reporting and analytics with high volumes of historical, operational, and transactional data from non-Workday systems. Supporting Tools Reporting & Analytics Use Case Examples Solution Reporting & Analytics Use Case Examples Solution Reporting & Analytics Use Case Examples Solution FP&A Controller / Accounting Workday Financial Management Financial & Statutory Reporting Transactional Reporting Trend Analysis Ad Hoc Analysis Variance Analysis ■ Income statement ■ Balance sheet ■ Cash flow statement ■ AR transaction detail ■ AP transaction detail ■ Customer transaction detail ■ 5 year income statement ■ 7 year balance sheet ■ 3 year cash flow statement ■ Past due receivables by root cause ■ DSO drivers ■ Ledger balance analysis ■ Expense plan vs. actual ■ Revenue plan vs. actual ■ YoY income statement with flux analysis Narrative Reporting ■ Board packages ■ Board presentation Line of Business ■ Report writer ■ Report writer ■ Dashboards ■ Worksheets ■ Discovery boards ■ Report writer ■ Report writer ■ Discovery boards ■ Worksheets ■ Slides Workday Prism Analytics Enriches reporting and analytics with high volumes of historical, operational, and transactional data from non-Workday systems. Supporting Tools Workday Adaptive Planning Forecasting Plans vs. Actuals Trend Analysis Ad Hoc Analysis Variance Analysis ■ Revenue forecast ■ Expense forecast ■ Inventory forecast ■ Sales forecast vs. actual ■ Strategic plan vs. actual ■ Corporate budget vs. actual ■ Revenue and expense trending ■ Inventory trend ■ Pipeline and forecast trend ■ Sales expense as percentage of revenue ■ Operating cash flow as percentage of revenue ■ Revenue analysis ■ YTD T&E with flux analysis ■ New vs. upsell vs. churn ■ Net change in ARR ■ Web reporting ■ OfficeConnect ■ Web reporting ■ OfficeConnect ■ Web reporting ■ OfficeConnect ■ Web reporting ■ OfficeConnect ■ Web reporting ■ OfficeConnect Workday Prism Analytics Enriches reporting and analytics with high volumes of historical, operational, and transactional data from non-Workday systems. Supporting Tools Workday Financial Management Management Reporting Variance Analysis Ad Hoc Analysis Trend Analysis ■ BU/cost center income statement ■ BU/cost center balance sheet ■ BU/cost center cash flow statement ■ BU/cost center YoY income statement with flux analysis ■ BU/cost center QoQ balance sheet analysis ■ BU/cost center daily expense flux analysis ■ Revenue analysis by manager, product, or location ■ Spend analysis by worker, supplier, or project ■ T&E analysis by category, worker, or project ■ BU/cost center 5 year income statement ■ BU/cost center 3 year balance sheet ■ BU/cost center 7 year SG&A analysis ■ Report writer ■ Dashboards ■ Report writer ■ Dashboards ■ Report writer ■ Dashboards ■ Discovery boards ■ Dashboards ■ Worksheets
  • 36. Finance and HR Expertise Security Distribution Experience Workday Analytics Adds Unique Value
  • 37. DEMO
  • 38. Putting Your Data to Work 100% visibility into every transaction, enabling real- time analytics on the global business. 100% Visibility Identification of a volume variance resulted in $1M in operational savings. Volume Variance Identified Issue Migrated 12 Years of Data Migrated and stored historical records containing 12 years of finance and HR data, required by public institutions, and turned off its legacy systems. Eliminated the financial data warehouse and related data sweeps thereby enabling real-time access to financial data. Eliminated the financial data warehouse
  • 39. Value Realized Single view of plans, forecasts and actuals for finance Automated calculations for manager bonus eligibility Able to support strategic corporate initiatives Personalized operational metrics distributed to managers
  • 40. Value Realized Fewer requests for manual research and reporting Single, integrated view of operational and financial data Greater accuracy and control; metrics calculated by system Corporate goals and progress report with 100+ metrics
  • 41. Q&A
  • 42. Thank you for joining us! Workday Confidential Available On-Demand All Hands on Deck: Leveraging IT Relationships to Build Resilience and Weather the Storms to Come Available On-Demand Elevating Employee Engagement and Experience with Workday and Josh Bersin May 18, 2021 Tuesday 10 AM PT Plan-to-Hire: automation and Reconciliation with Adaptive Planning May 20, 2021 Thursday 10 AM PT Workday’s Approach to Building Machine Learning into the Core Join us at Workday Elevate! May - August 2021