Intelligent Asset Management mit SAP

Matthias Riedel, Head of Presales Digital Supply Chain & Manufacturing, SAP Deutschland
Juni 2019
Intelligentes Asset Management mit SAP –
Stillstand ist keine Option!

3PUBLIC© 2019 SAP Intelligentes Asset Management mit SAP ǀ
Agenda
1 Rasante Veränderungen hinterlassen
Ihre Spuren
2 Intelligenten Unternehmen gehört
die Zukunft
3 Völlig neue Erkenntnisse durch „X & O“
4 Intelligent Asset Management im Kontext
„Design-to-Operate“
5 Stillstand ist keine Option - Call-to-Action!

Exxon Mobil
2010
Petrochina
Apple
ICBC
China Construction Bank
BHP Billiton
Microsoft
China Mobile
Petrobas
Berkshire Hathaway

Apple
Alphabet
Microsoft
Amazon.com
Facebook
Berkshire Hathaway
Tencent Holdings
Alibaba
Johnson & Johnson
JPMorgan Chase
2018

6FOR INTERNAL SAP AND PARTNER USE ONLY© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Drone Operator
Die Top Jobs im Jahr 2018
gab es in 2008 nicht.
Feelgood Manager
Data ScientistE-Sports-Manager
Quelle: gehalt.de

API & MICRO SERVICES
UX ROBOTICS
INTERNET OF THINGS
ARTIFICIAL
INTELLIGENCE
CYBER
SECURITY
CLOUD
MACHINE
LEARNING
MOBILITY
B2B MARKETPLACE
IN MEMORY
COMPUTING
DIGITAL ASSISTANTS
BIG DATASOCIAL NANO-TECHNOLOGY
3D PRINTING
BLOCKCHAIN
Mehrere digitale Technologien haben ihre Marktreife erreicht und sind
erschwinglich geworden

Agenda
Ihre Spuren
die Zukunft

Intelligente Unternehmen ermöglichen den Mitarbeitern, sich auf
höherwertige Aufgaben zu konzentrieren

The Intelligent Enterprise
The foundation of a Digital Supply Chain
Intelligent
Technologies
Intelligent
Suite
Digital
PlatformAI
Machine Learning
Analytics
IoT
Data Management
Cloud Platform
Network & Spend
Management
People
Engagement
Digital Core
(S/4HANA)
Digital Supply
Chain
Customer Experience
The Intelligent Enterprise
features 3 key components:
Intelligent Suite
Digital Platform
Intelligent
Technologies
1
2
3
7

11PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Beispiel Machine Learning:
Wie viele Hunde?

12PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Internet of Things
Big Data
Data Network
Blockchain
Analytics
Machine LearningMachine Learning

Knowledge
Bots
Payroll Fraud
Detection
Learning
Recommender
(RTC 1808)
Job
Analyzer
Employee Self-
Service Bot Total Workforce
Insights
Resume Matching
Manager and Administrator
Self-Service Bot
Career Planning:
People Like Me
SAP Fieldglass Live Insights
Job Matching for
Candidates
Support and
Productivity Bots
Job Seeker Resume
Ranking
Intelligent Customer
Experience Suite
Lead
Intelligence
Customer
Retention
(RTC 1811)
Ticket
Intelligence
Product and Offer
Recommendation
(RTC 1808)
Influencer Map and
Deal Finder
Multitouch
Customer Attribution
Contextual
Merchandizing
Self-Writing Expense
Computer Vision
Receipts
Anomaly
Detection
AI Expense
Approvals
Invoice
Digitization
AI Invoice
Processing
Itinerary
Capture
Chatbot
BookingsRisk Impact
Predictions
Automated
Duty of Care
Proactive Assistant
Semantic
Contract Repository
Item
Recommendation
Self-Service
Contracts
Attribute
Normalization
Semantic Search
Item Normalization
Sourcing
Optimization
Sourcing
Recommendation
SAP Job Matching
Timesheet
Anomaly
Detection
Program Office
Guidance
Job
Normalization
Statement of
Work Builder
Contract
Consumption
SAP Tax Compliance
Smart Automation
Payment Block: Cash
Discount at Risk
Smart Alerts for Real Spend
and P&L Analysis
Demand-Driven
Replenishment Adjustment
Stock in
Transit
Sales Performance
Prediction
SAP Cash
Application
Predictive Engineering
Insights
Predictive and Prescriptive
Maintenance
Demand Sensing
Predictive Overall
Equipment Effectiveness
Predictive Quality
Management
Smart Worker
Enablement on Shop
Floor
Supply Chain
Segmentation
Advanced
Forecast
Accuracy
SAP Leonardo Machine
Learning Foundation
SAP Concur
SAP Ariba
SAP C/4HANA
SAP S/4HANA
SAP SuccessFactors
SAP Fieldglass
Manufacturing
& Digital Supply Chain
SAP Conversational AI End-to-End Suite Intuitive UX Any Language Q&A
SAP CoPilot
integration
Context
Management
Insurance Bot Industry Bots Integration with
additional CRM
Train Your Own
Model
Table Extraction
Custom Image
Segmentation
Data Scientist Notebook
Support
Customized
Recommender
Handwriting
Recognition Data Pipelines
SAP Intelligent Robotic
Process Automation
Automated Process
Execution
3rd party Integration API Leverage Prebuilt Bots Process Monitoring Embedded Analytics ML and CAI
Integration
Bot Marketplace Computer Vision for
Bot Stability
Auf dem Weg zum intelligenten Unternehmen
Roadmap-Auszug zu Machine Learning
Machine Learning

Agenda
Ihre Spuren
die Zukunft

Was ist Experience Management?
is it Happening?
WHY
Experience
data
WHATis Happening?
Operational
data

Top Produkte können schlechte Kunden-Erlebnisse nicht kompensieren.

Die “Customer Journey” ist entscheidend (Beispiel Automotive).
2. Web Experience
Customer is guided with the
right information, seamless
experience across digital
properties
6. Post purchase
experience
Delightful brand and product
experience
Dealer – Seamless handover
from sales to service department
4. Incentives / Discount
Tailor and optimize offers and
incentives to increase profitable
conversions
1. Marketing
Personalized offers/
recommendations
based on ownership
history, digital and
dealership interaction
3. Dealership experience
Dealer - 360 view of the
customer, recommend the right
car and financing options
Customer has consistent
dealership experience
5. Delivery experience
Proactive communications
and on-time delivery
Customer feels he is
always in control
7. Service Experience
Deliver on the brand and
service expectations
Improve service technician
satisfaction
8. Digital Services
Provide tailored value
added services
Help build customer
intimacy by sharing
data with right partners

Experience Management ist die
oberste Priorität für CEOs:
Sie geben 3X mehr aus, wenn sie ein
großartiges Kundenerlebnis haben.
$1.6 Billionen Problem im Zusammenhang
mit Kundenabwanderung
80%von CEOs glauben, dass sie eine
erstklassige Erfahrung bieten.....
aber nur 8% der
Kunden stimmen zu.
8% Die “Experience Gap”

Die richtigen Instrumente sind entscheidend !

Lead to Cash
Customer Experience
Total Workforce Management
People Engagement
Source to Pay
Spend Management
Design to Operate
Manufacturing & Supply Chain
Experience Management eng verknüpft mit End-to-End Prozessen
Aspekte: Customer, Employees, Product, Brand
Lead to Cash

Auch im Asset Management spielt das Erlebnis (Experience) eine große
Rolle…
Predictive Maintenance zur Optimierung der
Uptime bzw. Lebensdauer
• Weniger ungeplante Stillstände
• Höhere Kundenzufriedenheit
Nutzungsdaten proaktiv nutzen -
Mehrwehrt Services/ Lösungen
(z.B. Medizintechnik, Aufzüge etc.)
• Anlageneffizienz
• Verbesserung der Kundenzufriedenheit
Service Personal und dessen Feedback zur
Produktverbesserung nutzen
• Kundenzufriedenheit
• Umsatz
Feedback Wartungspersonal zur Optimierung
des Wartungsprozesses nutzen
• Mitarbeiter-Motivation
• Qualität, Kosten
Beispiel
Wirkung

Agenda
Ihre Spuren
die Zukunft

Assets
Customers
Manufacturers
Manufacturers
Customers
Suppliers
Die Top Etagen möchten eine verknüpfte Supply Chain aber…
... denken organisatorisch immer noch in Silos!
Manufacture OperateDesign Deliver
Plan
PlanPlan
Plan
Plan

Design
• Reduce time to market
• Continuously innovate
• Deliver on customer demand
Plan
• Holistic view of demand
• Balance inventory and service levels
• Improve forecast accuracy
SAP Digital Supply Chain
Kern unserer Intelligent Suite
Manufacture
• Optimize manufacturing processes
• Improve collaboration with contractors
• Increase agility and responsiveness
Deliver
• Improve speed, efficiency and sustainability
• Deliver perfect orders consistently and profitably
• Increase utilization of warehouse and transportation
Operate
• Manage lifecycle of physical assets efficiently and sustainably
• Predict and simulate asset behavior
• Avoid unplanned downtime

Design-to-Operate auf der Hannover Messe 2019

Design
• Reduce time to market
• Continuously innovate
• Deliver on customer demand
Plan
• Holistic view of demand
• Balance inventory and service levels
• Improve forecast accuracy
SAP Digital Supply Chain
Kern unserer Intelligent Suite
Manufacture
• Optimize manufacturing processes
• Improve collaboration with contractors
• Increase agility and responsiveness
Deliver
• Improve speed, efficiency and sustainability
• Deliver perfect orders consistently and profitably
• Increase utilization of warehouse and transportation
Operate
• Manage lifecycle of physical assets efficiently and sustainably
• Predict and simulate asset behavior
• Avoid unplanned downtime

Neue Technologien eröffnen Wege in das digitale Asset Management
The Internet of Things (IoT)
Provides sensor-enabled
value-added services and
business outcomes
3D Visualization &
Augmented reality
Provides unmatched situational
awareness and enhanced
perception for better
decision making
Artificial intelligence
and machine learning
Bring unprecedented insights
and automation of knowledge
work across the enterprise
Real-time Engineering
Simulation
Use physics-based digital twins
for predictive engineering
analysis in product
development and operations

SAP-Lösungen im (Design-to) Operate

Intelligent Asset Management Suite
Maintenance Management and Operations
SAP S/4HANA
SAP ERP
Ecosystem Collaboration
SAP Asset Intelligence Network
Maintenance Strategy Planning
SAP Asset Strategy & Performance Management
Prediction & Simulation
SAP Predictive Maintenance & Service
SAP Predictive Engineering Insights enabled by ANSYS
Unified Data Model
Asset Central is the reusable asset registry for seamless
integration and data consistency
Asset Strategy and
Performance
Asset Network
and
Collaboration
Asset Health
Prediction and
Optimization
Maintenance
and Service
Management
SAP S/4HANA, IOT
and SAP Leonardo
Note: SAP ECC supported
Intelligent Asset Management

Die Grundlage: Bereitstellung eines Netzwerks von digitalen Twins
Kollaboration in einem offenen Netzwerks (AIN)
Product intelligence Asset intelligence
Manufacturer Operator
Digital Twin
Data
A global registry of industrial equipment
built and shared among multiple parties
used across the industry by all
stakeholders
Enabling new collaborative business models
that will result in true operational excellence
and will be the future way we manage assets
and related services
SAP Asset
Intelligence
Network
A common
definition of
machines and data
and
a network for
digital services
Apps
Apps
Apps

SAP unterstützt flexible Ansätze für predictive Maintenance
SAP Predictive Maintenance and Service SAP Predictive Engineering Insights
“Enabled by ANSYS”
Sensor Data
75 78 82 79 75 78 82 79
Engineering Simulation
Multi-physics Engineering Models
Sensor Data
Machine Learning
Prediction & Anomaly Detection Algorithms
Multi-Body
Dynamics
Acquisition
(part of SAP)

Beispiel und Simulation eines digitalen Zwilling

SAP Intelligent Asset Management –
Bereitstellung über einen nativen mobilen und Offline-Client: SAP Asset Manager

Roadmap für Intelligent Asset Management (IAM)
IAM ist strategisches Thema für SAP und im Kern unserer Intelligent Suite
www.sap.com/products/roadmaps

Agenda
Ihre Spuren
die Zukunft

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Profitieren Sie von der
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Nutzen Sie die
0 3 |
Kooperieren Sie, statt
0 4 |
Sprechen Sie mit uns,
Stillstand ist keine Option – Call-to-Action!

Welche Fragen darf ich
Ihnen beantworten?
Matthias Riedel
Head of PresalesDigital Supply Chain & ManufacturingM +49 151 678 34413E matthias.Riedel@sap.com

Intelligent Asset Management mit SAP

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