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Analytics - SAP B2B_ Arava Santosh Kumar.pptx2. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 2
Within this results document, you will see the following:
• A clear understanding of digital maturity of your core business processes which can be used as an input into
strategic planning for Intelligent Enterprise roadmap
• Benchmarking guidance aligned to KPIs of 10 process areas, comparing your organization to peers
• A prioritized gap assessment of best practices aligned with the 10 process areas:
• Procurement
• Sales
• Service
• R&D/ Engineering
• Supply Chain
• Manufacturing
• Asset Management
• Finance
• Human Resources
• Information Technology
• Key observations based on customized results
• Examples of best-in-class organizations that are enabling digital transformation of their core ERP processes
Next Generation Benchmarking Assessment for SAP S/4HANA
Program Overview
3. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 3
Organization Level TCSL
Geography World
Industry Automotive
Sub industry Sales and Service
Annual Revenue 100
Currency U.S.Dollar
Participant Name
Participant Profile and Company Information
4. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 4
Executive Summary Key Metrics (1/4)
−
Addressable spend (% of total spend)
Cluster: Discrete, Industry: Automotive, N = 12
Error rate in invoices sent out (in %)
Cluster: Discrete, Industry: Automotive, N = 10
Service and support cost (% of revenue)
Cluster: Discrete, N = 12
R&D expense (% of rev)
Cluster: Discrete, N = 20
5. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 5
Executive Summary Key Metrics (2/4)
−
Days in inventory
Cluster: Discrete, Industry: Automotive, Revenue: > 0 < 250000000
U.S.Dollar, N = 9
Transportation spend (% of COGS)
Cluster: Discrete, Industry: Automotive, N = 19
Warehouse management cost (% of COGS)
Cluster: Discrete, Industry: Automotive, N = 20
On-time delivery performance (in %)
Cluster: Discrete, Industry: Automotive, N = 22
6. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 6
Executive Summary Key Metrics (3/4)
−
Manufacturing cost (% of rev)
Cluster: Discrete, Industry: Automotive, N = 15
Manufacturing cycle time (in days)
Cluster: Discrete, Industry: Automotive, N = 19
Overall equipment effectiveness (in %)
Cluster: Discrete, Industry: Automotive, Revenue: > 0 < 250000000
U.S.Dollar, N = 9
Finance cost (% of revenue)
Cluster: Discrete, Industry: Automotive, N = 25
7. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 7
Executive Summary Key Metrics (4/4)
−
Days sales outstanding
Cluster: Discrete, Industry: Automotive, Revenue: > 0 < 250000000
U.S.Dollar, N = 10
Total HR cost per employee
Cluster: Discrete, Industry: Automotive, N = 8
IT spend ( % of revenue)
Cluster: Discrete, Industry: Automotive, N = 16
Recommendations
8. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 8
Executive Summary Best Practices (1/2)
−
Procurement − Best
Practices
N =77
Sales − Best Practices
N =60
Service − Best Practices
N =36
R&D/ Engineering − Best
Practices
N =40
Supply Chain − Best
Practices
N =55
Manufacturing − Best
Practices
N =48
9. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 9
Executive Summary Best Practices (2/2)
−
Asset Management −
Best Practices
N =49
Finance − Best Practices
N =67
Human Resources − Best
Practices
N =49
Information Technology −
Best Practices
N =75
Recommendations
10. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 10
Procurement Key Metrics
−
Procurement FTEs per billion of spend
Cluster: Discrete, Industry: Automotive, N = 10
Addressable spend (% of total spend)
Cluster: Discrete, Industry: Automotive, N = 12
Maverick spend (% spend under management)
Cluster: Discrete, N = 39
Recommendations
11. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 11
Procurement Best Practices (1/2)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
1 A well-defined process for supplier management is in place
2 Effective sourcing and contract management process is followed with compliance adherence
3 Centralized procurement process is supported for different business units/ geographies across
multiple operational systems
Peer Group: Global
12. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 12
Procurement Best Practices (2/2)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
4 End-to-end operational procurement process is streamlined for varied procurement needs
5 Invoice reconciliation and vendor payment process is optimized to improve productivity and
savings
Peer Group: Global
Recommendations
13. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 13
Sales Key Metrics
−
Order management FTEs per billion in revenue
Cluster: Discrete, N = 15
Order fill accuracy (in %)
Cluster: Discrete, N = 13
Error rate in invoices sent out (in %)
Cluster: Discrete, Industry: Automotive, N = 10
Recommendations
14. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 14
Sales Best Practices (1/3)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
1 Lead, opportunity and account management processes are well established
2 Sales contract management is a well established and effective process across the entire contract
life cycle
3 Sales order management and fulfillment process is automated and error-free
Peer Group: Global
15. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 15
Sales Best Practices (2/3)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
4 Sales pricing process for products and services is comprehensive and compliant
5 Billing process supports automated and accurate invoice creation for consumption of products and
services
6 Claims, returns, and refund management is a well defined and streamlined process
Peer Group: Global
16. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 16
Sales Best Practices (3/3)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
7 Sales rebate process is efficient and accurate
Peer Group: Global
Recommendations
17. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 17
Service Key Metrics
−
Service and support cost (% of revenue)
Cluster: Discrete, N = 12
Warranty cost (% of revenue)
Cluster: Discrete, Industry: Automotive, N = 8
Average service level agreement compliance (in %)
Cluster: Discrete, N = 14
Recommendations
18. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 18
Service Best Practices
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
1 Service agreement management process is well managed through entire contract lifecycle
2 Service operations process is streamlined with end-to-end visibility
Peer Group: Global
Recommendations
19. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 19
R&D/ Engineering Key Metrics
−
R&D expense (% of rev)
Cluster: Discrete, N = 20
Time to market for new products (in months)
Cluster: Discrete, Industry: Automotive, N = 10
Recommendations
20. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 20
R&D/ Engineering Best Practices
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
1 Enterprise portfolio and project management process is streamlined and efficient
2 Product development process is cross integrated and compliant
3 Entire product lifecycle management process is well managed and continuously improved upon
Peer Group: Global
Recommendations
21. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 21
Supply Chain Key Metrics
−
Days in inventory
Cluster: Discrete, Industry: Automotive, Revenue: > 0 < 250000000
U.S.Dollar, N = 9
Transportation spend (% of COGS)
Cluster: Discrete, Industry: Automotive, N = 19
Warehouse management cost (% of COGS)
Cluster: Discrete, Industry: Automotive, N = 20
On-time delivery performance (in %)
Cluster: Discrete, Industry: Automotive, N = 22
Recommendations
22. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 22
Supply Chain Best Practices (1/2)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
1 Order fulfillment process is efficient and continuously improves customer service levels
2 Inventory movement within and outside the organization is accurately accounted and trackable
3 Warehousing is well integrated within inbound, outbound and internal processes ensuring high
throughput
Peer Group: Global
23. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 23
Supply Chain Best Practices (2/2)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
4 Shipment process efficiently supports inbound and outbound goods movement
Peer Group: Global
Recommendations
24. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 24
Manufacturing Key Metrics
−
Manufacturing cost (% of rev)
Cluster: Discrete, Industry: Automotive, N = 15
Manufacturing cycle time (in days)
Cluster: Discrete, Industry: Automotive, N = 19
Capacity utilization rate (in %)
Cluster: Discrete, Industry: Automotive, N = 18
Scrap (% of mfg. cost)
Cluster: Discrete, Industry: Automotive, N = 15
Recommendations
25. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 25
Manufacturing Best Practices (1/2)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
1 Production and material planning is real-time and optimized based on demand and capacity
constraints
2 Production engineering process continuously evaluates and improves manufacturing
3 Production operation process is lean/ agile, flexible, streamlined, and interconnected
Peer Group: Global
26. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 26
Manufacturing Best Practices (2/2)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
4 Quality planning and execution process is efficient and continuously improves product quality
Peer Group: Global
Recommendations
27. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 27
Asset Management Key Metrics
−
Asset maintenance cost (% of revenue)
Cluster: Discrete, Industry: Automotive, N = 9
Overall equipment effectiveness (in %)
Cluster: Discrete, Industry: Automotive, Revenue: > 0 < 250000000
U.S.Dollar, N = 9
EH&S penalties and fines (in '000s per billion in rev)
Revenue: > 0 < 250000000 U.S.Dollar, N = 21
Recommendations
28. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 28
Asset Management Best Practices
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
1 Maintenance management is well planned, safe, and performed within budget
2 Environment, health, and safety process is compliant and issues are resolved in time
Peer Group: Global
Recommendations
29. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 29
Finance Key Metrics
−
Finance cost (% of revenue)
Cluster: Discrete, Industry: Automotive, N = 25
Financial forecast accuracy (in %)
Cluster: Discrete, Industry: Automotive, N = 11
Days to close annual books
Cluster: Discrete, Industry: Automotive, Revenue: > 0 < 250000000
U.S.Dollar, N = 12
Days sales outstanding
Cluster: Discrete, Industry: Automotive, Revenue: > 0 < 250000000
U.S.Dollar, N = 10
Recommendations
30. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 30
Finance Best Practices (1/3)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
1 Accounts receivable process is productive, error-free and well-integrated with sales process
2 Accounts payable process is productive, proactive, and well-integrated with purchase process
3 Asset accounting process manages and monitors installation, transfer, sale, return, and scrap of
organization assets along with depreciation recording
Peer Group: Global
31. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 31
Finance Best Practices (2/3)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
4 Accounting and financial close process is fast, accurate, and compliant
5 Treasury function has complete visibility into liquidity positions and is in compliance with required
financial accounting standards like IFRS, SOX, EMIR etc.
6 Process for financial planning and consolidation at group entities level is supported and optimized
Peer Group: Global
32. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 32
Finance Best Practices (3/3)
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
7 Compliance reporting and documentation is standardized with possibility for any country-specific
regulatory requirement
8 Cost planning, controlling, monitoring, and allocation process is standardized and streamlined
9 Real-time profitability and cost analysis can be tracked at the detailed level
Peer Group: Global
Recommendations
33. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 33
Human Resources Key Metrics
−
Total HR cost per employee
Cluster: Discrete, Industry: Automotive, N = 8
Recommendations
34. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 34
Human Resources Best Practices
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
1 Single source of truth exists for onboarding and maintaining of employee data
2 Timekeeping and payroll processes are automated and error-free
Peer Group: Global
Recommendations
35. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 35
Information Technology Key Metrics
−
IT spend ( % of revenue)
Cluster: Discrete, Industry: Automotive, N = 16
Analytics spend ( as % of IT spend)
Cluster: Discrete, N = 23
Recommendations
36. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 36
Information Technology Best Practices
−
Best Practice
Current
Maturity
Desired
Maturity
Gap
Company Performance
1 Enterprise system provides a single view of master data for all process areas
2 Enterprise system has a modular architecture that enables easy integration and interoperability
with other systems and platforms
3 Enterprise system provides real-time analytics capability for faster decision making
Peer Group: Global
Recommendations
37. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 37
ERP Landscape Details (1/2)
Please indicate your solution landscape strategy
Peer Group: Global, N = 106
38. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 38
ERP Landscape Details (2/2)
Number of active users per ERP production instance
Cluster: Discrete, N = 10
Number of ERP-related interfaces per ERP production
instance
Revenue: > 0 < 250000000 U.S.Dollar, N = 8
Y/Z (custom) programs per ERP production instance
Revenue: > 0 < 250000000 U.S.Dollar, N = 8
Recommendations
39. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 39
Customers are Achieving Value From SAP
• Efficiently manage all R&D processes in one single system based on SAP S/4HANA®
• Build on the broad process and SAP solution experience of both parent companies
in this greenfield deployment
OSRAM Continental GmbH
Click here for R&B Food Supply source reference
Click here for OSRAM Continental GmbH source reference
R&B Food Supply
Industry
Automotive
SAP Solution
SAP S/4HANA + other SAP
solutions
Customer Web Site
www.osram-continental.com
Company
Industry
Consumer Products
SAP Solution
SAP S/4HANA
Customer Web Site
www.rbfoodsupply.co.th
Company
OSRAM Continental GmbH R&B Food Supply Public Limited Company
"With our startup spirit, a high level of user-acceptance, and the SAP solutions, we
have quickly established an innovative system that effectively supports our product
development processes."
Andreas Breckel, Head of Information Technology Research and Development, OSRAM Continental
GmbH
• 90% Planning efficiency improvement
• 80% Of all maintenance actions now preventive rather than corrective
• Scalable IT landscape with greater transparency
"As our technology backbone, SAP S/4HANA is driving financial and operational
transparency and control and providing a solid foundation upon which R&B Food
Supply can prepare for its IPO.”
Suranart Kittirattanadetch, Chief Financial Officer, R&B Food Supply Public Company Limited
40. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 40
Customers are Achieving Value From SAP
Accenture
Click here for Nostrum Oil and Gas source reference
Click here for Accenture source reference
Nostrum Oil and Gas
Industry
Professional Services
SAP Solution
SAP S/4HANA
Customer Web Site
www.accenture.com
Company
Industry
Oil and Gas
SAP Solution
SAP S/4HANA
Customer Web Site
www.nostrumoilandgas.com
Company
Accenture Nostrum Oil and Gas
• Provide a single, central digital platform to support more than 100,000 active
business users around the globe
• Enable the next-generation speed, agility, and capabilities required to run in the
modern age, including diverse business models and end-to-end financials
“The partnership with SAP goes way beyond technology. The DNA of our
organizations
and our evolution as service providers are critically connected. We provide and
support
hyperscale software as a service. SAP S/4HANA is key to making that possible.”
Andrew Wilson, CIO, Accenture
• Greater integration of business processes for production, operations, and finance,
helping automate, optimize, and simplify work
• A single source of historical and operational data, with real-time production data
analysis, reports, and dashboards
“SAP Model Company for Oil & Gas is a preconfigured solution based on proven best
practices for upstream operations. And SAP Digital Business Services has the IT and
industry expertise as well as the global collaboration capabilities we need for this
project.”
Frank Catumbela, Advisor to CEO, Board Member, SAP S/4HANA Program Director, Nostrum Oil &
Gas PLC
41. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 41
To articulate the value in moving from ERP software on a
traditional database to SAP’s Intelligent Enterprise including
SAP S/4HANA, cloud line-of-business (LoB) applications, and
SAP Leonardo.
*All detailed LoB papers also available – see an SAP representative
Latest innovations enabled by SAP S/4HANA and other SAP
solutions
Intelligent processes based on digital technologies
Value proposition
Customer references
Objective:
Key Focus Areas:
Value Papers to Learn More: Intelligent Business Processes with SAP Solutions
Links to LoB Value Papers:
Click here for 'Intelligent Procurement with SAP solutions' whitepaper
Click here for ‘Intelligent Sales with SAP solutions’ whitepaper
Click here for 'Intelligent Service with SAP solutions' whitepaper
Click here for 'Intelligent R&D and Engineering with SAP solutions' whitep
aper
Click here for 'Intelligent Supply Chain with SAP solutions' whitepaper
Click here for 'Intelligent Manufacturing with SAP solutions' whitepaper
Click here for 'Transforming Asset Management with SAP' whitepaper
Click here for 'Intelligent Finance with SAP solutions' whitepaper
Click here for 'Managing the Total Workforce with SAP' whitepaper
42. Contact information:
Title SAP PPDS S4 HANA Consultant
Address India
Phone number aravasantoshkumar@gmail.com
Thank you.
L name Santosh
Kumar
F name Arava
43. © 2020 SAP SE or an SAP affiliate company. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company.
The information contained herein may be changed without prior notice. Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors. National product specifications may vary.
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or
warranty of any kind, and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials.
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional
warranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation,
and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and/or platforms, directions, and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or
functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, and they
should not be relied upon in making purchasing decisions.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. All other product and service names
mentioned are the trademarks of their respective companies.
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See www.sap.com/copyright
45. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 45
Best Practice Customer Current Maturity Customer Desired Maturity
1
A well-defined process for supplier
management is in place
4
Real-time dashboard for supplier management
including supplier onboarding. Machine learning-based
algorithms to evaluate supplier base and recommend
supplier rationalization based on spend patterns and
supplier performance
4
Real-time dashboard for supplier management including supplier
onboarding. Machine learning-based algorithms to evaluate
supplier base and recommend supplier rationalization based on
spend patterns and supplier performance
2
Effective sourcing and contract management
process is followed with compliance adherence
4
Supplier networks are used in sourcing process.
Machine learning is leveraged to recommend sourcing
strategy and source of supply. Guided mechanism is
provided for contract authoring and approval.
Blockchain verified RFQ processing is in place
4
Supplier networks are used in sourcing process. Machine learning is
leveraged to recommend sourcing strategy and source of supply.
Guided mechanism is provided for contract authoring and approval.
Blockchain verified RFQ processing is in place
3
Centralized procurement process is supported
for different business units/ geographies
across multiple operational systems
4
Machine learning capabilities are leveraged to optimize
requisitioning, contract management, purchasing, and
analytics processes for centralized procurement.
4
Machine learning capabilities are leveraged to optimize
requisitioning, contract management, purchasing, and analytics
processes for centralized procurement.
4
End-to-end operational procurement process
is streamlined for varied procurement needs
4
Optimized procurement process for direct, in-direct and
service materials. Guided buying is supported along
with order collaboration through a supplier portal. Real-
time visibility for order acknowledgments, advanced
shipping notifications, and confirmations to supplier
and buyer.
4
Optimized procurement process for direct, in-direct and service
materials. Guided buying is supported along with order
collaboration through a supplier portal. Real-time visibility for order
acknowledgments, advanced shipping notifications, and
confirmations to supplier and buyer.
Procurement Best Practices - Gap Analysis (1/2)
−
46. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 46
Best Practice Customer Current Maturity Customer Desired Maturity
5
Invoice reconciliation and vendor payment
process is optimized to improve productivity
and savings
4
Invoice matching and exception is completely touchless
through machine learning engines. Country-based
tolerances and rules are setup. Machine learning
technology is applied to identify consistent
reconciliation issues to improve cash discount utilization
& monitor blocked invoices
4
Invoice matching and exception is completely touchless through
machine learning engines. Country-based tolerances and rules are
setup. Machine learning technology is applied to identify consistent
reconciliation issues to improve cash discount utilization & monitor
blocked invoices
Procurement Best Practices - Gap Analysis (2/2)
−
47. CONFIDENTIAL
© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ 47
Best Practice Customer Current Maturity Customer Desired Maturity
1
Lead, opportunity and account management
processes are well established
4
Organization leverages machine learning capabilities to
discover new leads and uncover new opportunities with
existing accounts. It clearly focuses on the opportunities
with greater probability of closing
4
Organization leverages machine learning capabilities to discover
new leads and uncover new opportunities with existing accounts. It
clearly focuses on the opportunities with greater probability of
closing
2
Sales contract management is a well
established and effective process across the
entire contract life cycle
4
Intelligent system leverages machine learning to
determine contract health scoring for predicting
terminations and early consumptions, and continually
prescribes actions to sales team based on internal and
external data signals
4
Intelligent system leverages machine learning to determine
contract health scoring for predicting terminations and early
consumptions, and continually prescribes actions to sales team
based on internal and external data signals
3
Sales order management and fulfillment
process is automated and error-free
4
Capability for customers and business partners to
directly place orders using E-commerce portals, mobile
applications and other electronic means having direct
connectivity with the enterprise system. Leverages
artificial intelligence to understand customers' financial
situation and provide credit scores in real-time along
with system proposed corrective measures
4
Capability for customers and business partners to directly place
orders using E-commerce portals, mobile applications and other
electronic means having direct connectivity with the enterprise
system. Leverages artificial intelligence to understand customers'
financial situation and provide credit scores in real-time along with
system proposed corrective measures
4
Sales pricing process for products and services
is comprehensive and compliant
4
Detailed configurable rules are used to apply
automated and accurate pricing by individual customer/
customer segments, across all channels. Artificial
intelligence and machine learning is leveraged to
optimize product/ service pricing
4
Detailed configurable rules are used to apply automated and
accurate pricing by individual customer/ customer segments, across
all channels. Artificial intelligence and machine learning is leveraged
to optimize product/ service pricing
Sales Best Practices - Gap Analysis (1/2)
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Best Practice Customer Current Maturity Customer Desired Maturity
5
Billing process supports automated and
accurate invoice creation for consumption of
products and services
4
Touchless and compliant billing process, allowing
creation of billing documents with combination of
products, services and projects. Alerts are raised in case
of exceptions
4
Touchless and compliant billing process, allowing creation of billing
documents with combination of products, services and projects.
Alerts are raised in case of exceptions
6
Claims, returns, and refund management is a
well defined and streamlined process
4
Intelligent system reports credit transactions and
suggests steps for resolution by generating credit
memos or invoice correction requests. Analytical
scorecard to monitor such scenarios is available for
further fool-proofing of the system
4
Intelligent system reports credit transactions and suggests steps for
resolution by generating credit memos or invoice correction
requests. Analytical scorecard to monitor such scenarios is available
for further fool-proofing of the system
7 Sales rebate process is efficient and accurate 4
Advanced analytics is leveraged to plan sales rebate,
entire life cycle is automated and red flags are raised
for any issues with rebate settlements
4
Advanced analytics is leveraged to plan sales rebate, entire life cycle
is automated and red flags are raised for any issues with rebate
settlements
Sales Best Practices - Gap Analysis (2/2)
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Best Practice Customer Current Maturity Customer Desired Maturity
1
Service agreement management process is
well managed through entire contract lifecycle
4
Intelligent system manages contracts with visibility and
predicts issues in the existing database of contracts. AI
is leveraged to predict outcome in order to structure
better SLAs
4
Intelligent system manages contracts with visibility and predicts
issues in the existing database of contracts. AI is leveraged to
predict outcome in order to structure better SLAs
2
Service operations process is streamlined with
end-to-end visibility
4
Intelligent system predicts signs of future issues and
downtime using data from remote diagnosis of
equipment on IoT (internet of Things) network. 360-
degree view of customers is available for contact center
agents. Service requests are transmitted directly from
system to service technicians for real-time dispatch and
tracking. Advanced workforce scheduling for field
service assignments is available
4
Intelligent system predicts signs of future issues and downtime
using data from remote diagnosis of equipment on IoT (internet of
Things) network. 360-degree view of customers is available for
contact center agents. Service requests are transmitted directly
from system to service technicians for real-time dispatch and
tracking. Advanced workforce scheduling for field service
assignments is available
Service Best Practices - Gap Analysis
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Best Practice Customer Current Maturity Customer Desired Maturity
1
Enterprise portfolio and project management
process is streamlined and efficient
4
Intelligent system assists in selection of right projects
by aligning project portfolio with enterprise strategy by
scoring and ranking proposals against each other.
Insights are available into the performance of entire
project lifecycle
4
Intelligent system assists in selection of right projects by aligning
project portfolio with enterprise strategy by scoring and ranking
proposals against each other. Insights are available into the
performance of entire project lifecycle
2
Product development process is cross
integrated and compliant
4
Intelligent system helps in product selection for
development. Close collaboration of internal and
external teams to manage requirements, development
and compliance. Machine learning is leveraged to
simulate costing and structural changes
4
Intelligent system helps in product selection for development. Close
collaboration of internal and external teams to manage
requirements, development and compliance. Machine learning is
leveraged to simulate costing and structural changes
3
Entire product lifecycle management process
is well managed and continuously improved
upon
4
Intelligent system minimizes costs by securing future
product margins early. Graphical work instructions for
non-engineering users. Engineering changes are rolled
out smoothly. Continuous operational feedback is
incorporated into product improvement process
4
Intelligent system minimizes costs by securing future product
margins early. Graphical work instructions for non-engineering
users. Engineering changes are rolled out smoothly. Continuous
operational feedback is incorporated into product improvement
process
R&D/ Engineering Best Practices - Gap Analysis
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Best Practice Customer Current Maturity Customer Desired Maturity
1
Order fulfillment process is efficient and
continuously improves customer service levels
4
Intelligent system leverages machine learning to
prescribe inventory allocation quotas, priority index of
customers and backorder fulfillment; quota limits are
continuously recalibrated to maximize profitability and
improve customer satisfaction
4
Intelligent system leverages machine learning to prescribe
inventory allocation quotas, priority index of customers and
backorder fulfillment; quota limits are continuously recalibrated to
maximize profitability and improve customer satisfaction
2
Inventory movement within and outside the
organization is accurately accounted and
trackable
4
Real-time management of inventory with optimization
of inventory target calculation across all stages of the
supply chain network to achieve right balance of
inventory and service levels. Ability to track products
across the supply chain
4
Real-time management of inventory with optimization of inventory
target calculation across all stages of the supply chain network to
achieve right balance of inventory and service levels. Ability to track
products across the supply chain
3
Warehousing is well integrated within
inbound, outbound and internal processes
ensuring high throughput
4
Intelligent system supports fully automated warehouse
management with embedded material flow controls
allowing simultaneous posting of multiple goods
movement. Augmented reality applications along with
'pick-by-voice' mechanism are leveraged to improve
productivity. Advanced dock appointment scheduling is
available
4
Intelligent system supports fully automated warehouse
management with embedded material flow controls allowing
simultaneous posting of multiple goods movement. Augmented
reality applications along with 'pick-by-voice' mechanism are
leveraged to improve productivity. Advanced dock appointment
scheduling is available
4
Shipment process efficiently supports inbound
and outbound goods movement
4
Intelligent system optimizes all outbound/inbound
transportation requirements and supports cross-
docking, drop-shipments; handling unit creation, parcel
management, visual load building etc.; logistics network
is used for shipment tendering and freight invoice
settlement; machine learning is leveraged to prescribe
corrective actions in case of exceptions
4
Intelligent system optimizes all outbound/inbound transportation
requirements and supports cross-docking, drop-shipments;
handling unit creation, parcel management, visual load building
etc.; logistics network is used for shipment tendering and freight
invoice settlement; machine learning is leveraged to prescribe
corrective actions in case of exceptions
Supply Chain Best Practices - Gap Analysis
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Best Practice Customer Current Maturity Customer Desired Maturity
1
Production and material planning is real-time
and optimized based on demand and capacity
constraints
4
Intelligent system performs infinite and finite planning
to optimize plan based on live constraint data (demand,
available/booked capacity, inventory, etc.) and
performance data (cost, quality, etc.)
4
Intelligent system performs infinite and finite planning to optimize
plan based on live constraint data (demand, available/booked
capacity, inventory, etc.) and performance data (cost, quality, etc.)
2
Production engineering process continuously
evaluates and improves manufacturing
4
Intelligent system recommends guidelines to manage
controlled changes to manufacturing process due to
issues. As-Engineered digital twin of the product is
synchronized across the enterprise and data-driven
approach is used to improve manufacturing BOM and
routing
4
Intelligent system recommends guidelines to manage controlled
changes to manufacturing process due to issues. As-Engineered
digital twin of the product is synchronized across the enterprise and
data-driven approach is used to improve manufacturing BOM and
routing
3
Production operation process is lean/ agile,
flexible, streamlined, and interconnected
4
Machines and devices on shop floor are inter-connected
and parameters like throughput, OEE (overall
equipment effectiveness), cycle time, yield, first pass
etc. are measured in real-time. Granular visibility into
current status of a production lot and alerts are
generated in case of deviations from the production
plan
4
Machines and devices on shop floor are inter-connected and
parameters like throughput, OEE (overall equipment effectiveness),
cycle time, yield, first pass etc. are measured in real-time. Granular
visibility into current status of a production lot and alerts are
generated in case of deviations from the production plan
4
Quality planning and execution process is
efficient and continuously improves product
quality
4
Intelligent system recommends optimal quality
inspection plans. Quality staff is able to access role-
based product data on mobile devices with an end to
end workflow and system recommends suitable
resolution steps. Quality definition is used as a strategic
tool to improve performance and reduce costs for the
customer
4
Intelligent system recommends optimal quality inspection plans.
Quality staff is able to access role-based product data on mobile
devices with an end to end workflow and system recommends
suitable resolution steps. Quality definition is used as a strategic
tool to improve performance and reduce costs for the customer
Manufacturing Best Practices - Gap Analysis
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Best Practice Customer Current Maturity Customer Desired Maturity
1
Maintenance management is well planned,
safe, and performed within budget
4
Predictive, condition based, preventive and reactive
maintenance operations are possible. Leverages Mobile
applications for work order management are leveraged.
Collaboration with the asset ecosystem in real-time on
asset and maintenance data
4
Predictive, condition based, preventive and reactive maintenance
operations are possible. Leverages Mobile applications for work
order management are leveraged. Collaboration with the asset
ecosystem in real-time on asset and maintenance data
2
Environment, health, and safety process is
compliant and issues are resolved in time
4
IoT is leveraged to gain real-time visibility into worker's
heath and operating conditions, provide automated
safety guidance, and generate recommendations for
EH&S improvement programs
4
IoT is leveraged to gain real-time visibility into worker's heath and
operating conditions, provide automated safety guidance, and
generate recommendations for EH&S improvement programs
Asset Management Best Practices - Gap Analysis
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Best Practice Customer Current Maturity Customer Desired Maturity
1
Accounts receivable process is productive,
error-free and well-integrated with sales
process
4
RPA (Robotic Process Automation) makes sales billing
and account receivable processes fully automated.
Manual intervention is required to manage exceptions.
Dispute management is well supported by system.
Advanced analytical tools are available to support
business decision makers
4
RPA (Robotic Process Automation) makes sales billing and account
receivable processes fully automated. Manual intervention is
required to manage exceptions. Dispute management is well
supported by system. Advanced analytical tools are available to
support business decision makers
2
Accounts payable process is productive,
proactive, and well-integrated with purchase
process
4
Invoices matching and exception process is completely
automated through rule-based engine. Supplier portal
is utilized to track end-to-end document status.
Payment process is optimized to take advantage of
working capital opportunities with dynamic discounting
mechanism. Advanced analytical tools are available to
support business decision makers
4
Invoices matching and exception process is completely automated
through rule-based engine. Supplier portal is utilized to track end-
to-end document status. Payment process is optimized to take
advantage of working capital opportunities with dynamic
discounting mechanism. Advanced analytical tools are available to
support business decision makers
3
Asset accounting process manages and
monitors installation, transfer, sale, return, and
scrap of organization assets along with
depreciation recording
4
Machine learning based recommendations on posting
unplanned depreciation. Scenario planning/ simulations
on asset valuations
4
Machine learning based recommendations on posting unplanned
depreciation. Scenario planning/ simulations on asset valuations
4
Accounting and financial close process is fast,
accurate, and compliant
4
Machine Learning is used to assist in period end closing
activities like recommendations for Goods
Receipt/Invoice Receipt and accruals management. It is
easy to change material prices, mark prices for change,
and release prices for material valuation
4
Machine Learning is used to assist in period end closing activities
like recommendations for Goods Receipt/Invoice Receipt and
accruals management. It is easy to change material prices, mark
prices for change, and release prices for material valuation
Finance Best Practices - Gap Analysis (1/3)
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Best Practice Customer Current Maturity Customer Desired Maturity
5
Treasury function has complete visibility into
liquidity positions and is in compliance with
required financial accounting standards like
IFRS, SOX, EMIR etc.
4
Connections with the banks to automatically send
payment instructions, receive status notifications,
receive bank statements, and receive lockbox
messages. Ability to pull credit scoring data
automatically from third-party credit agencies into ERP
system
4
Connections with the banks to automatically send payment
instructions, receive status notifications, receive bank statements,
and receive lockbox messages. Ability to pull credit scoring data
automatically from third-party credit agencies into ERP system
6
Process for financial planning and
consolidation at group entities level is
supported and optimized
4
Advanced analytical tools to perform real-time analytics
on financial consolidation data. Consolidation analytics
and model/report samples are available to support
financial consolidation analysis
4
Advanced analytical tools to perform real-time analytics on financial
consolidation data. Consolidation analytics and model/report
samples are available to support financial consolidation analysis
7
Compliance reporting and documentation is
standardized with possibility for any country-
specific regulatory requirement
4
Global trade transactions are compliant and automated.
Cloud platform support is available for developing new
custom functionalities to address constantly changing
international legal regulations
4
Global trade transactions are compliant and automated. Cloud
platform support is available for developing new custom
functionalities to address constantly changing international legal
regulations
8
Cost planning, controlling, monitoring, and
allocation process is standardized and
streamlined
4
Embedded planning scenarios/ provision of
preconfigured planning scenarios for cost center
planning, profit center planning etc.
4
Embedded planning scenarios/ provision of preconfigured planning
scenarios for cost center planning, profit center planning etc.
Finance Best Practices - Gap Analysis (2/3)
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Best Practice Customer Current Maturity Customer Desired Maturity
9
Real-time profitability and cost analysis can be
tracked at the detailed level
4
Advanced analytical tools are integrated to ERP for
financial planning/ profitability analysis
4
Advanced analytical tools are integrated to ERP for financial
planning/ profitability analysis
Finance Best Practices - Gap Analysis (3/3)
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Best Practice Customer Current Maturity Customer Desired Maturity
1
Single source of truth exists for onboarding
and maintaining of employee data
4
Next-generation HR services combining local
requirements with global integrations. Workforce
management with real-time insights for efficient and
accurate HR services
4
Next-generation HR services combining local requirements with
global integrations. Workforce management with real-time insights
for efficient and accurate HR services
2
Timekeeping and payroll processes are
automated and error-free
4
Integrated solution for timekeeping and payroll
management that uses AI to manage compliance and
generates real-time reports
4
Integrated solution for timekeeping and payroll management that
uses AI to manage compliance and generates real-time reports
Human Resources Best Practices - Gap Analysis
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Information Technology Best Practices - Gap Analysis
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Best Practice Customer Current Maturity Customer Desired Maturity
1
Enterprise system provides a single view of
master data for all process areas
4
A central master data system for all data objects act as
a leading system, changes are reflected in all connected
systems in real-time. Machine learning is leveraged for
master data governance and generating
recommendations for data quality improvements
4
A central master data system for all data objects act as a leading
system, changes are reflected in all connected systems in real-time.
Machine learning is leveraged for master data governance and
generating recommendations for data quality improvements
2
Enterprise system has a modular architecture
that enables easy integration and
interoperability with other systems and
platforms
4
Systems hosted on different platforms are closely
integrated. Applications on cloud platforms interact
seamlessly with core enterprise systems using business
and data services
4
Systems hosted on different platforms are closely integrated.
Applications on cloud platforms interact seamlessly with core
enterprise systems using business and data services
3
Enterprise system provides real-time analytics
capability for faster decision making
4
AI and machine learning are embedded in every critical
application; data from multiple systems is consolidated
to generate relevant KPI dashboards for decision
making from shop floor till board level
4
AI and machine learning are embedded in every critical application;
data from multiple systems is consolidated to generate relevant KPI
dashboards for decision making from shop floor till board level