run better. grow faster. change what you do.
Enterprise Performance Management25th May - Johannesburg
run better. grow faster. change what you do.
• IntroductionAllan Saffy, Decision Inc. GM for EPM
• Planning for Success in a Digital Economy:Christian Lindholm, Vice President EPM & Financials Solutions for Europe, Middle-East & Africa at SAP
• Ground to Cloud for Analytics and BPC:Andries van den Berg, Decision Inc. EPM Product Manager
• BPC 10.1 Embedded Consolidation:Pragasen Munsamy, Decision Inc. EPM
Technical Director • Wesizwe Platinum BPC Journey
Johann Riekert, Financial Advisor, Wesizwe and Andries van den Berg
• Closing: Allan Saffy
AGENDA
run better. grow faster. change what you do.
THE IMPACT OF THE DIGITAL ECONOMY ON FINANCE.
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THE CHANGING WORLD
THE GLOBAL ECONOMY
2.2 B People in Social
Networks
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THE GLOBAL ECONOMY
Organizations need to be able to change in order to remain relevant
The evolution of analytics opens opportunities and potential for improvement
Technology advancements provide significant opportunity
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Does your business strategy align with the trends and changes in the market?
THE NEED TO UNDERSTAND CHANGE
Sales Procurement Human Resources Finance Supply Chain
Information Advisory, Execution & Enablement
FUNCTION
run better. grow faster. change what you do.
INDUSTRY
TECHNOLOGY
DISCIPLINE
Predictive AnalyticsContent &
CollaborationAnalyticsData
ManagementAdvisoryEnterprise
Performance Mgt.
Mining Manufacturing Logistics Retail Banking Insurance
Digital
run better. grow faster. change what you do.
Our most important client metric:
RETURN ON IMPROVEMENT
DECISION INC. TRANSFORMATION
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RETURN ON IMPROVEMENT
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Planning for Success in a Digital Economy: Christian Lindholm, Vice President EPM & Financials Solutions for Europe, Middle-East & Africa at SAP
Enterprise Performance Management and Digital Transformation
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 2Public
Nine changes Shaping the Finance Professional’s career
1. Today’s finance professionals find their work more engaging and influentialthan they had anticipated
2. Finance professionals don’t see themselves standing still – they expect togrow professionally and extend their reach into even more parts of theircompanies
3. Finance is becoming the central touch point in many different aspectsof their enterprises
4. Finance teams must adapt to a business environment in whichdecisions are more complex, yet still need to be made faster than ever
5. Finance professionals are eager to be counted on for forward-lookinganalysis and business insight
6. Finance professionals are looking for ways to gain a deeper understandingof more parts of the business
7. Better use of sophisticated technology lies at the heart of finance’sefforts to drive performance improvement
8. Finance professionals are grasping digitalization of the information flows asthe foundation for their successful delivery of advanced analytics
9. Digitalization and automation often are seen as opportunities to provideadditional value, rather than as disruptive threats to finance jobs
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 3Public© 2016 SAP SE or an SAP affiliate company. All rights reserved. 3Public
What does digitalization mean for businesses?
SpeedTransparency
Business innovationDirect engagement
Automation
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 4Public
The Challenges for Finance Professionals
Can you respond to data requests in under a day?
Need to analysedata more quickly
Granularity is regularly sacrificed for the sake of
speed
Only 12% 90% agree 56% agree
”Finance executives recognize need for speed in data analysis – but fewcompanies are able to deliver in real.”
cfo.com research
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 5Public
British American Tobacco
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 6Public
Real time, continuous processes with no manualprocesses or media breaks
Full transparency of allinformation accessible to everyone in the moment
Digital Finance
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 7Public
Digital finance: transforming finance for live business
Burning the midnight oil
Lights out finance processesAutomated and networked processes, event-driven, and inherently compliant
Late, off target, inconsistent reports
Insight in the hands of the businessInstant insight-to-action anytime, anywhere enabled by a single source of truth
Long, complex IT projects
Architecting new business modelsFlexible business modeling, deep analysis and rapid implementation of new business models
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 8Public
The Digitally Transformed Finance Department
OperationalManagement
EnterprisePerformanceManagement
Accounting and Financial Close
Financial Planning and Analysis
Treasury and Financial Risk
Collaborative Finance Operations
1
2
3
4
0110
1100
111
$
AP AR GL
Banks
$ € £ ¥
Suppliers
Transactions
Customers
Order
Invoice
Delivery
Payment
Order
Delivery
Employees
• Profit and Loss• Balance Sheet• Cash Flow
2012 2015 20202013 Today
FutureHistoric
Payment
Invoice
Regulator Stakeholders
Investment
• Actual vs. Budget• What if• Profitability• Forecast
Close PlanPredict/Model
Cash and Liquidity
Management
Collaboration• Receivables management• Collaborative Invoice to Pay• Travel Management• Shared Services Framework• Bank Communication / FSN
Finance Operations• Real Estate Management• Lease Management
2 1
3
Collaborative Finance
Operations
CloseSAP HANA
4
S/4HANAFinance
Cloud
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 9Public
Introducing the Digital Boardroom
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 10Public
On the fly analysis – digital boardroom
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Financial Planning & Analysis - the driver for succes
Respondents with financial planning systems that are very tightly-integrated with core ERP systems are much more likely to say their IT systems substantially contribute to finance’s ability to support decision making.
© CFO PUBLISHING LLC THE FUTURE OF FINANCIAL PLANNING AND ANALYSIS MAY 2015
Percentage of respondents in each category who say their companies’ IT systems “substantially contribute” to finance’s ability to support decision making (n=134).
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 12Public
SAP BusinessObjects Planning and Consolidation
Unstructured Data
Business Process Management
Unified Platform
Automation and Reporting
OLAP
OLTP
SAP Business Objects Planning and Consolidation
ERP LoB
CRM HR
Structured Data
Extensions – additional licenses required
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 13Public
BPC & ERP Integration Scenarios
SAP ERP/Other ERP
BPC NW
SAP ERP/Other ERP
BPC NW
S4HANA
BPC NW
S4HANA
“Stand-Alone” “Fully Integrated”“Central Finance”
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 14Public
SAP S/4HANA Finance: Foundation of a “live” business
Single source of truth Enterprise consistency No reconciliations, replications, aggregations Real time updates Easily extensible
On the fly analysis Unlimited granularity Macro to detail, by any dimension With prediction and simulation
Connectivity and automation Extension to business networks Removal of silos and media breaks Embedded compliance
SAP HANASingle source of truth
Operations Business Planning Business Intelligence
FINANCE
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 15Public
Why is S/4HANA Finance Different
LogisticsDocument
CODocument
FIDocument
Totals & IndicesFinancial Accounting
Totals & Indices
Management Account.
From …Stability
Processing
Analytics
Flexibility
HANA views on the fly
Pre-Defined Aggregates
Flexibility
Stability
Processing
Analytics
LogisticsDocument
… To
UniversalJournalEntry
Single repositoryacross applications
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 16Public
Traditional system With SAP S/4HANA
ExpensePlanning
P&L PlanningProfitability Planning
SAP HANA
Supply Chain
Cap Ex
Liqu
idity
SalesRevenue
Cost
Fina
ncia
l Sta
tem
ent
HR
Strategic Targets
Transactions Planning Prediction
Demo
BPC Optimized for S/4HANA – Dynamic planning and analysis
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 17Public
BPC Optimized for S/4HANA - Close Books in a Day
Extend consolidation capabilities to embedded model Real time transactional data access - no replication Advanced monitoring and incremental consolidation Single, integrated environment Central finance option available
SAP HANA
Universal Journal
SAP Business Planning and Consolidation(Optimized for SAP S/4HANA Finance)
Planning(Available Today)
Consolidation(Planned)
SAP S/4HANA Finance
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 18Public
SAP Cloud for Analytics
1. Brand new, built for SaaS
2. Planning and Analytics
3. Start with Finance (FP&A)
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 19Public
SAP now Offer Best of all Worlds
Leverage existing data sources for hybrid scenarios.
Integrate data from existing cloud applications
SAP Cloud for Planning
SAP Cloud for Planning
Corporate Data
Public Cloud
On premise
Private Cloud
SAPBPC
Business Units
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 20Public
Innovative Deployment Option
Real-time replication Complete data granularity – no loss Consolidated reporting and analysis Centralized processes Document drill back to source system
Legacy ERP
Legacy ERP
Acquisition ERP
Legacy ERP, can be moved
over timeSAP HANA
Consolidated detailed reporting
CentralizedProcesses
Single Source of Truth
Real Time
Transaction Level
Reconciled
Harmonized
S/4HANA Finance
SAP S/4HANA: Central Finance Instance
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 21Public
SAP Financials - Value scenarios across the entire value chain
*Improvement ranges are SAP estimates. Lower end of range reflects conservative improvement estimate from a move to SAP S/4HANA Finance from Suite and higher end of range reflects the conservative improvementof a move to S/4HANA Finance from ERP on any DB. For additional information contact SAP IVE team.
Dynamic planning and analysis
M&A and divestitures what-if analysis
Accelerated group planning cycles
Predictive forecasts and dynamic simulation
End-to-end customer and product profitability
Rapid design of new business models
Close Books in a Day
“Soft close” Instant P&L insights and
real-time cost control Multi-dimensional reporting
on the fly Integrated regulatory and
managerial reporting Reduced reconciliations Centralized finance
instance
Real-time actual to plan cash management
Instant visibility into working capital
Real-time liquidity planning Real-time bank counter-
party risk management Higher transparency on
foreign exchange risks Automated payment
processes
“Lights Out” Finance
Real-time receivables and payables reconciliation
Immediate reaction to collection
Buyer-supplier integration with business networks
Employee perfect trip experience
Improved property productivity
Always on compliance
Instant identification and prediction of potential fraud
Smart strategies for fraud prevention
Improved compliance and higher audit management efficiency
Integrated controls in processes
10 to 20% Reduction in Budget and Forecasting
Costs *
10 to 20% Reduction in G/L & Financial Closing as
well as Audit Costs*
10 to 20% Reduction in Treasury and Cash
Management Costs *
10 to 25% Reduction in A/R Management Costs *
Reduction of Audit Cost and Elapsed Time from
Audit Start to Report
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 22Public
Continued innovation roadmap – planned innovations
Continued renewal of user experience Consolidation in SAP Business Planning and
Consolidation with embedded model SAP Customer payment portal (cloud) Profitability management – group valuation and
transfer pricing IFRS/US GAAP changes
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 23Public
Digital finance: transforming finance for live business
Burning the midnight oil
Lights out finance processesAutomated and networked processes, event-driven, and inherently compliant
Late, off target, inconsistent reports
Insight in the hands of the businessInstant insight-to-action anytime, anywhere enabled by a single source of truth
Long, complex IT projects
Architecting new business modelsFlexible business modeling, deep analysis and rapid implementation of new business models
Thank you
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 25Public
Find more information here
www.sap.com/finance
Experience the journey maps4hanafinance.sapjourneymap.com
Read the digital finance whitepaperRegister for the digital finance whitepaper
Join the conversationSCN Business Trends - Finance
S/4HANA Finance
SAP Cloud for Analytics
Andries van den BergEPM Product Manager, Decision Inc
May 25th, 2016
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 2Public
Agenda
Introduction Digital Business SAP Cloud for Analytics Overview and Strategy Demo SAP Cloud for Analytics Roadmap SAP Cloud for Analytics Cloud for Analytics & BPC Integration Q & A
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 3Public
AlibabaThe most valuable retailer, has no inventory.
UberThe world’s largest
taxi company, owns no vehicles.
AirbnbThe world’s largest accommodation provider, owns no real estate.
FacebookThe world’s most
popular media owner, creates no
content.
Digital BusinessSOMETHING INTERESTING IS HAPPENING
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 4Public
Digital BusinessOFFERING OPPORTUNITIES TO FIRST MOVERS
+26%Market
valuation+12%Impact on profitability
+9%Revenuecreation
EARLY ADOPTERS ARE WINNING
In the next 10 years, 40% of the S&P 500 will no longerexist if they do not keep up with these technology trends*
* “The Digital Advantage: how digital leaders outperform their peers in every industry”: CapGemini and MIT Sloan
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 5Public
Last two years Last two years End of 2020 End of 2020 In 2014
1 ScienceDaily, May 22, 2015 | 2 Technology Adoption Report on Business Networks, Ardent Partners3 Internet of Things (IoT) 2013 to 2020 Market Forecast: Billions of Things, Trillions of Dollars, IDC | 4 Statista
5 Cisco Global Cloud Index: Forecast and Methodology for 2013–2018, Cisco Systems Inc.
90%Of the world’sdata has been
generated1
40%Growth in
adoption of business networks2
212 Billion
“Things” willbe connected3
9Billion
Mobile usersin the world4
51%Of workloadsprocessed in
the cloud5
Digital BusinessLIVING IN A DIGITAL ECONOMY
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 6Public
Digital BusinessTOGETHER IN THE MOMENT - LIVE BUSINESS
FINANCE
SALES & MARKETING
HUMAN RESOURCES
OPERATIONS
LIVEBUSINESS
SUPPLY CHAIN
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 7Public
Digital BusinessANALYTICS VALUE CYCLE FOR THE LIVE BUSINESS
GOVERN PREDICT
VISUALIZE& DISCOVER
PLAN
ALL USERS ACCESS ANYWHERE
ALL DATA
ALL ANALYTICS
LIVE BUSINESS
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 8Public
The state of business analytics today
Within the next 2 years Primary reasons for investing in public cloud
36%Already replaced or planning to replace
with SaaS BI
31%Already complementing or planning to complement
with SaaS BI
Source: "Application Adoption Trends 2015: The SaaS Boom Continues As Businesses Demand Agility“. Forrester
56%Agility
14%Cost
13%Innovation
10%Quality
7%Other
5%Financial
Source: Gartner CIO Survey, 2014
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 9Public
The state of business analytics today
Where business users want to bePercentage that rated the capability as very important
Contextualized information 62%13%
Advanced analytics 56%13%
Real-time insights 44%10%
Where business users arePercentage that reported being successful at the capability
Source: The Business Case for Managing Complexity, Harvard Business Review, sponsored by SAP SE, 2015.
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 10Public
Agenda
Introduction Digital Business SAP Cloud for Analytics Overview and Strategy Demo SAP Cloud for Analytics Roadmap SAP Cloud for Analytics Cloud for Analytics & BPC Integration Q & A
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 11Public
ExtensionsApplications
HANA Cloud Platform
(Micro-) Services
IoTPlatform
IoT
Suite
Applications
S/4HANA
Platform
HANA Platform
VORA
any DB Hadoop
Analytics
C4A
Digital BusinessCLOUD PLATFORM
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 12Public
Introducing SAP Cloud for Analytics
All Analytics. All Users. One Cloud Product.
Simplify Experience Trust
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 13Public
Video: Introduction to Cloud for Analytics
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 14Public
Cloud for Analytics Caters For
Mgmt ReportingVariance Analysis
Sales PlanningMarketing Planning
……..
Data Discovery Visualization
Variance Analysis
Predictive Modeling
Prescriptive and Preemptive Analytics
Loss Prevention Analytics
Risk-adjusted Planning
FP&ABus. Analysts /
Planners Data Scientists
BudgetingPlanning
Profitability Modeling
BI
EPM/Planning
Predictive
GRC
Retention and Revenue Analysis
Info ConsumersC Suite
Board ReportsDashboards
Ent. Risk Reporting KRIs
KPIsScorecardsInitiatives
Predictive Planning / ForecastingForecasts
Production ReportsDashboards
Budget input
Forecasts
Ent. Risk Reports
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 15Public
Cloud for Analytics Architecture Overview
Cloud Data Sourcesand Applications
Data Connectivity & Modeling
Visualization & Stories
Collaboration & Events
Auditing & Monitoring APIs*
PlanningBI Predictive* GRC* PAAS (HCP)Building Analytic
Applications
Cloud for Analytics (SAP Digital Boardroom)
On-Premise Data Sources and Applications
HANA Cloud Platform
Core Services
Capabilities
Administration & Security
Vertical Apps
*planned
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 16Public
Cloud for Analytics
Browser
SAP Cloud for Analytics - core capabilitiesData Access
HANA SPS10BW 7.4+
S/4 HANA
Teradata, Oracle,SQL Server, DB2,
Hadoop, Spark, Sybase IQ/ASE, etc.
BPC NW/MSBW 7.4+
Excel/CSVUniverses
HCP DBaaSOnlineTeradata, Oracle,SQL Server, DB2,
Facebook, Hadoop, SFSF, OData, etc.
SDI/HCI
Import Dataset from Public CloudGoogle Sheets
Salesforce
Online Smart DataAccess
Import Dataset
This is the current state of planning and may be changed by SAP at any time.
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 17Public
Cloud for Analytics
Browser
SAP Cloud for Analytics - core capabilitiesData Access - BPC
HANA SPS10BW 7.4+
S/4 HANA
Teradata, Oracle,SQL Server, DB2,
Hadoop, Spark, Sybase IQ/ASE, etc.
BPC NW/MSBW 7.4+
Excel/CSVUniverses
HCP DBaaSOnlineTeradata, Oracle,SQL Server, DB2,
Facebook, Hadoop, SFSF, OData, etc.
SDI/HCI
Import Dataset from Public CloudGoogle Sheets
Salesforce
Online Smart DataAccess
Import Dataset
This is the current state of planning and may be changed by SAP at any time.
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 18Public
SAP Cloud for Analytics - Core CapabilitiesLive/Offline Data Access
SAP Cloud for Analytics
SAP Cloud SourcesHANA Cloud DBaaS
SuccesFactors *ConcurAriba
…
Other Cloud sourcesSalesforce
Google DriveTwitterAWS
…
SAP Cloud for AnalyticsWeb Client running in browser
BPC
Public Cloud
HANA
BW*
External data via HANA Smart Data Access
Data Connector
On-
Pre
mis
e S
yste
m
Corporate NetworkIntegration into SDI & iPaas
vendors’ libraries
Hadoop
NoSQL
RDBMS
Data Connector
S/4HANA
Local files
Universes*
This is the current state of planning and may be changed by SAP at any time.
BW
* PlannedOnlineOffline
ECC*
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 19Public
Agenda
Introduction Digital Business SAP Cloud for Analytics Overview and Strategy Demo SAP Cloud for Analytics Roadmap SAP Cloud for Analytics Cloud for Analytics & BPC Integration Q & A
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 20Public
Cloud for Analytics
Demo
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 21Public
Agenda
Introduction Digital Business SAP Cloud for Analytics Overview and Strategy Demo SAP Cloud for Analytics Roadmap SAP Cloud for Analytics Cloud for Analytics & BPC Integration Q & A
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 22Public
Road Map for SAP Cloud for Analytics
vConsumer-grade user experience
All Analytics capabilities in one product
SAP Cloud for Analytics
In the cloudEmbedded &
standalone
High-performance, real-time platform
Core capabilities Personalized home screen Discussion and Sharing Prepare and Enrich data from the Browser Connect to on premise SAP HANA and BWVisualization and Storytelling Administration
Business intelligence Data Explorer
Planning Baseline and Power planner features AllocationsReports Events
SAP Digital Boardroom Executive Meeting supportMulti-touchscreen Support
Core capabilities Enhanced analyticsEnhanced Data connectivity SDKsLocation analyticsBig data supportExtended Mobility support Embedded predictive analytics and workflowsBusiness intelligence Google apps integration Planning Enhanced Baseline and Power planner features Packaged applications Calculation and workflowPredictive analytics Explanatory analytics.Model based what-if scenarios Interoperability with other cloud for analytics applicationsSAP Digital Boardroom Mobile support Predictive workflowsEnterprise risk integration Value driver tree-based simulation
Today Planned Innovations Future Directions
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 24Public
Agenda
Introduction Digital Business SAP Cloud for Analytics Overview and Strategy Demo SAP Cloud for Analytics Roadmap SAP Cloud for Analytics Cloud for Analytics & BPC Integration Q & A
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 25Public
SAP Analytics Strategy
Data Level Interoperability
Agile VisualizationSAP Lumira
Lumira 1.29 (Q4)
Advanced AnalyticsSAP Predictive Analytics
Predictive Analytics 2.4 (Q4)
Enterprise BISAP BusinessObjects BI Suite
BI 4.2 (Q4)Design Studio 1.6 (Q4)Analysis 2.2 (Q4)
EPMEx. SAP Business Planning and Consolidation (BPC)
BPC 10.1 NW SP08 (Q4)
GRCEx. SAP Risk Management
Risk Management 10.1 SP11 (Q4)
On-premise and/or IaaS Deployments (HCP, Amazon, Azure)
Continued Investment in Existing Solutions
Build new SaaS Analytics capabilities
SAP Cloud for Analytics
High-performance,real-time platform
Embedded and standalone
Consumer-gradeuser experience
All analytics capabilities in one product
Public Cloud – SaaS/PaaS
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 26Public
BPC Planned Integration – Data Connectivity
Existing On Premise BPC Solutions
Cloud for Analytics
Master Data
Transactional Data
Bidirectional integration with SAP Business Planning and Consolidation,version for SAP NetWeaver, embedded model
Integration with other cloud solutions from SAP (for example, SAP Cloud forCustomer)
Remote data access for SAP HANA, SAP BW, and SAP S/4HANA
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 27Public
BPC Planned Integration – Possible Use Cases
Existing On Premise BPC Solutions
Cloud for Analytics
Master Data
Transactional Data
Complete Financial Close, Budgeting or Forecasting in BPC Import entire BPC model (Master and Transactional Data) into C4A and
analyze the data using rich BI content Perform What-if scenarios on higher level data Integrate with SAP Digital Boardroom for presentation of results
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 31Public
Secure & compliant infrastructureSAP Cloud for Analytics runs in secure & certified environment of HCP
Certified operations World-class data centers Advanced network security Reliable data backup Built-in compliance, integrity, and
confidentiality
ISO 27001CERTIFIED
IT operations
ISO 9001CERTIFIED
Quality Management
BS25999CERTIFIED
HA
GREEN ITCERTIFIED
Energy Efficiency
SSAE16TESTIFIED
ISAE3402TESTIFIED
International Accounting Regulations
Refer to www.sapdatacenter.com for more info:
Questions?
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BPC 10.1 EMBEDDED CONSOLIDATION
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AGENDA
• Planning & Consolidation Background of SAP• Key Modelling Differences between embedded and
classic• How to setup Consolidation in Embedded• Reporting• Key Differences between embedded and classic• Things to consider when deciding on an
Implementation path• Q & A
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SAP PLANNING & CONSOLIDATION BACKGROUND
• SEM-BCS (Strategic Enterprise Management BusinessConsolidation)
• BI-IP (Integrated Planning)• Purchase of Outlooksoft• Integration into Netweaver• SAP HANA• Embedded on SAP HANA
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FUNDAMENTALS OF EMBEDDED
• Key Modelling differences between Classic and Embedded
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SETTING UP CONSOLIDATION IN EMBEDDED
• Setting up BW info objects, characteristics, info cubes and aggregationlevels
• Diagrams to illustrate concepts
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SETTING UP CONSOLIDATION IN EMBEDDED
• Setting up models in BPC
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SETTING UP CONSOLIDATION IN EMBEDDED
• Business rules
• No US-elimination• No Equity-Pickup Methods
• Ownership Model defined in the same way as classic• Consolidation triggered through the Web Interface• Uses Task Sequences to define order of rules
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REPORTING ON AN EMBEDDED MODEL
• Different Interfaces• Classic – EPM Add-in• Embedded – Analysis for Office
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REPORTING ON AN EMBEDDED MODEL
• Aggregation levels – Required for input schedule• Bex queries
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REPORTING ON AN EMBEDDED MODEL
• Bex queries
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REPORTING ON AN EMBEDDED MODEL
• Bex queries – Select default values for report
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REPORTING ON AN EMBEDDED MODEL
• Using Analysis for Office• Insert Data Source
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REPORTING ON AN EMBEDDED MODEL
• Select your variables
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REPORTING ON AN EMBEDDED MODEL
• Your report will refresh
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REPORTING ON AN EMBEDDED MODEL
• Special Considerations for Consolidation
• YTD Reporting• Using Account Type for sign reversal
KEY DIFFERENCES
Classic EmbeddedConsolidation Monitor Enhance Consolidation Monitor
Ownership Manager – with ownership Calculation
Ownership Manager – No Automated ownership calculation
Control Monitor Control Monitor just introduced
Journal Journal
Business Rules Business Rules
- Elimination and Adjustment - Elimination and Adjustment
- Currency Conversion - Currency Conversion
- Balance Carry Forward - Balance Carry Forward
- IC Data and IC Matching - IC Data and IC Matching
- Account Transformation - Account transformation
- US Elimination - No US Elimination
- Equity Pickup - No Equity Pickup
Incremental Consolidation No Incremental Consolidation
Parallelization Consolidation No Parallelization Consolidation
Reporting in EPM Client Reporting OA
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WHAT YOU NEED TO CONSIDER?
• Long Term strategy• Technical capability
• Current versions of BW and flexibility to upgradefor patches and new service packs
• What kind of business community do you have?• Benefits to both – right solution at the right time
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WESIZWE PLATINUM: DRIVING SEAMLESS OPERATIONS
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Johann Riekert Andries van den Berg
• Financial Advisor of Wesizwe Platinum• Business Owner of Wesizwe’s
Implementation of SAP BPC
• Product Owner of Decision Inc.’sMining RDS
• Solution Architect of Wesizwe’sImplementation of SAP BPC
OUR SPEAKERS
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• Wesizwe Platinum is a public company shares listed on the JSESecurities Exchange
• Bakubung Platinum Mine (BPM) site, home of Wesizwe’s flagshipproject
• Production scheduled in the second quarter of 2017 and reach fullproduction in 2021, with life of mine (LOM) of 30 years.
• The main shaft has hoisting capacity of 250 000 tonnes of ore and15 000 tonnes of waste per month
• Wesizwe focuses on high-value PGM and strategic metals
ABOUT WESIZWE
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• No single view of the organisation• Poor version control• Ineffective security• Links are broken & formulas changed• Manual processes relying on emails• Time consuming.• High risk of inaccuracies• “Not my numbers”
WESIZWE’S BUSINESS CHALLENGE
run better. grow faster. change what you do.
WESIZWE’S REQUIREMENT
Corrective Action
Geology
MineRP
Operating Plan
Budget
Execution
Variance Analysis
Investigation
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WESIZWE’S REQUIREMENT
Corrective Action
Geology
MineRP
Operating Plan
Budget
Execution
Variance Analysis
Investigation
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PRODUCTION
CAPITAL
LABOUR
STORES
COSTING
MININGMETHOD
PROCESS
MIS
WESIZWE BPC IMPLEMENTATION - MODELS
run better. grow faster. change what you do.
Mining
Dat
a So
urce
s
MineRP
CentaresRedevelopmentDevelopment MetersMined TonsMined KilogramsSwept
Face LengthWeigh LineTonsAdvanced OnAdvanced Off
SpecialSweepingMatersFace AreaOre HauledOre MilledPr
oduc
tion
num
bers
Mineral Processing
Dat
a So
urce
s
PC Other Sources
Prod
uctio
n nu
mbe
rs Milling RateMetadaysShutdown DaysPlant Operating Days
Prod
uctio
n Co
st D
river
sPRODUCTION MODEL
Source Data BPC Destination
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Labour also affects
LABOUR (HR)
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The Human Resource Model integrates and calculates detailed budgeting and planning for bothVariable and Fixed labour resources. The key drivers are the labour rates and production inputs. Themodel applies these calculations at an activity and cost centre level.
Labour Rates
Head Count Planning
At Work In Service
Fixed Labour Planning
Mine Specific Composition
Production profile and crew count per mine
overseer
Blue Print Composition
Varia
ble
Plan
ning
Mining Engineering Services
Process/Services
Fixe
d Pl
anni
ngHUMAN RESOURCE MODEL
Jobs Positions Jobs Positions Jobs Positions
run better. grow faster. change what you do.
The Human Resource Model integrates and calculates detailed budgeting and planningfor both Variable and Fixed labour resources. The key drivers are the labour rates andproduction inputs. The model applies these calculations at an activity and cost centrelevel
Labour Rates
Jobs Positions
Head Count Planning
At Work In Service
Fixed Labour Planning
Jobs Positions
Mine Specific Composition
Production profile and crew count per mine overseer
Blue Print Composition
Var
iabl
e P
lann
ing
Mining Engineering Services
Process/Services
Jobs PositionsFixe
d Pl
anni
ng
HUMAN RESOURCE MODEL
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STORESPlanning
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The Stores Model integrates and calculates detailed budgeting and planning for both Variable andFixed store usage. The key drivers are material prices and production inputs. The model applies thesecalculations at an activity and cost centre level.
Varia
ble
Plan
ning
Global BOM Composition including
reclamation
Bill of Material Composition
Bill of Material Composition
Plan or Shaft level input
Fixe
d Pl
anni
ng Fixed Store Costs Ad Hoc Cost
Stores Production Costs
Production Material Prices
Bill of Materials
Stores Plant Costs
Material PricesQuantities
STORES MODEL
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CAPITAL
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The Capital Model is a storage and calculation model for depreciation and amortisation.
Depreciation Calculation
Non Standard Capex Manual
Input
Quantity Cost
Asset Depreciation
LoadExi
stin
g C
apita
l A
sset
s
Pla
nned
Cap
ital
Ass
ets Projects
WBS Load
Amort Calc
CAPITAL MODEL
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Production ModelThe Production Model is designed to load production data from flat files (producedvia CAD, MRM or Excel Files). This data will drive calculations in the rest of themodels
Mas
ter D
ata
Human Resource ModelThe Human Resource Model integrates and calculates detailed budgeting andplanning for both Variable and Fixed labour resources. The key drivers are the labourrates and production inputs. The model applies these calculations at an activity andcost centre level
Mine Specific Composition
Production profile and crew count per mine overseer
Labour Rates
Jobs Positions
Head Count Planning
At Work In Service
Fixed Labour Planning
Jobs Positions
Blue Print Composition
Var
iabl
e P
lann
ing
Mining Engineering Services
Process/ Refineries/ Services
Jobs PositionsFixe
d P
lann
ing
Costing ModelThe Costing Cube is the main application that will hold the detail for the business planmanaged on a cost centre level across the organisation including the functional centres,refineries, support and head office. The following will be stored within the application:
Global Escalation RatesThese rates are set globally and form part of the
calculations in the individual model
Labour Escalation per
Patterson Band
Labour Escalation per Cost Element
Material Costing
Escalation Rates
Foreign Currency
Translations
Labour Costing Store Costing
Total Stores Costing
Total Labour Costing
Contractor Planning Utility Planning
Contract Labour Security Sundry
Services Catering
Electricity Water Compressed Air
Gas
Depreciation Engineering Costing
Total Depreciation
Costing
Total Engineering
Costing
Revenue Sundry Planning
Per Product Per Customer Price x Quant
RentIT
AdminSupport
Stores ModelThe Stores Model integrates and calculates detailed budgeting and planning for bothVariable and Fixed store usage. The key drivers are material prices and productioninputs. The model applies these calculations at an activity and cost centre level.
Bill of Material Composition
Var
iabl
e P
lann
ing
Global BOM Composition
including reclamation
Fixed Store Costs
Fixe
d P
lann
ing
Bill of Material Composition
Plan or Shaft level input
Ad hoc cost
Stores Production Costs
Production Material Prices
Bill of Materials
Stores Production Costs
Material Prices
Production
Capital ModelThe Capital Model is a storage and calculation model for depreciation andamortisation.
Exi
stin
g C
apita
l A
sset
s Asset Depreciation
Load
Pla
nned
Cap
ital
Ass
ets
Non Standard Capex Manual
Input
Quantity Cost
Depreciation Calculation
Non Standard Capex Manual
Input
Quantity Cost
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IMPLEMENTTime to
Traditional Implementation0 Days 365 Days120Days
Preparation Business Blueprint Realisation Testing Go-Live
Wesizwe’s Implementation
Discover Deploy Run
01/0
6/15
95% 50% 30%180 days saved
31/1
2/15
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BENEFITSWesizwe’s BPC
Near real time data sharingScenario comparison capabilitiesDefined and controlled business process workflowSingle version of fast accurate data - improves decision makingProjected reduction in planning time by 40%Projected increased in reporting capability by 70%Revised forecast focusses on timeous and accurate outputsMeets the requirement of real-time Operational Control
Run better. Grow Faster. Change what you do.www. decisioninc.co.za