Intelligent Asset Management mit SAP by Branding Maintenance

Intelligentes Asset Management mit SAP â&#x20AC;&#x201C; Stillstand ist keine Option! Matthias Riedel, Head of Presales Digital Supply Chain & Manufacturing, SAP Deutschland Juni 2019

Agenda 1

Rasante Veränderungen hinterlassen Ihre Spuren

Intelligenten Unternehmen gehört die Zukunft

Völlig neue Erkenntnisse durch „X & O“

Intelligent Asset Management im Kontext „Design-to-Operate“

Stillstand ist keine Option - Call-to-Action!

ǀ PUBLIC

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

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

Die Top Jobs im Jahr 2018 gab es in 2008 nicht. Drone Operator

Feelgood Manager

E-Sports-Manager

Data Scientist

Quelle: gehalt.de

Mehrere digitale Technologien haben ihre Marktreife erreicht und sind erschwinglich geworden

MACHINE LEARNING 3D PRINTING

DIGITAL ASSISTANTS

CLOUD

ARTIFICIAL INTELLIGENCE

MOBILITY

INTERNET OF THINGS B2B MARKETPLACE SOCIAL NANO-TECHNOLOGY BIG DATA

CYBER SECURITY

IN MEMORY COMPUTING

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ROBOTICS BLOCKCHAIN 7

Agenda 1

Rasante Veränderungen hinterlassen Ihre Spuren

Intelligenten Unternehmen gehört die Zukunft

Völlig neue Erkenntnisse durch „X & O“

Intelligent Asset Management im Kontext „Design-to-Operate“

Stillstand ist keine Option - Call-to-Action!

ǀ PUBLIC

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

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The Intelligent Enterprise The foundation of a Digital Supply Chain Network & Spend Management

Cloud Platform

People Engagement

The Intelligent Enterprise features 3 key components:

Intelligent Suite

Intelligent Technologies

Digital Platform

Intelligent Technologies Digital Core (S/4HANA)

Intelligent Suite

Digital Supply Chain

Customer Experience

ÂŠ 2019 SAP Intelligentes Asset Management mit SAP

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AI Machine Learning Analytics IoT

Digital Platform

Data Management

10 7

Beispiel Machine Learning: Wie viele Hunde?

Data Network

Internet of Things

Blockchain

Machine Machine Learning Learning

Analytics

Big Data

Auf dem Weg zum intelligenten Unternehmen

Payroll Fraud Detection

Roadmap-Auszug zu Machine Learning

Knowledge Bots Career Planning: People Like Me

Program Office Guidance

Resume Matching SAP Job Matching

Employee SelfService Bot

SAP Ariba SAP C/4HANA Manufacturing & Digital Supply Chain SAP S/4HANA

Itinerary Capture

Predictive and Prescriptive Maintenance

Train Your Own Model

SAP Conversational AI

End-to-End Suite

SAP Intelligent Robotic Process Automation

Automated Process Execution Ç&#x20AC; PUBLIC

Stock in Transit

Demand Sensing

SAP Tax Compliance Smart Automation

3rd party Integration

Risk Impact Predictions

Chatbot Bookings

Any Language

API Leverage

Computer Vision Receipts

Predictive Engineering Insights SAP Cash Application

Q&A

Prebuilt Bots

AI Expense Approvals Proactive Assistant Automated Duty of Care

AI Invoice Processing

Anomaly Detection

Item Normalization

Custom Image Segmentation

Table Extraction

Intuitive UX

Job Seeker Resume Ranking

Product and Offer Recommendation (RTC 1808)

Contextual Merchandizing

Job Matching for Candidates

Support and Productivity Bots

Attribute Normalization

Self-Service Contracts

Ticket Intelligence

Contract Consumption

Invoice Digitization

Self-Writing Expense

Semantic Contract Repository

SAP Leonardo Machine Learning Foundation

ÂŠ 2019 SAP Intelligentes Asset Management mit SAP

Total Workforce Insights

SAP Fieldglass Live Insights

SAP Fieldglass

Job Normalization

Learning Recommender (RTC 1808)

Job Analyzer

SAP Concur

Timesheet Anomaly Detection

Manager and Administrator Self-Service Bot

Machine Learning

SAP SuccessFactors

Statement of Work Builder

Sourcing Optimization Sourcing Recommendation

Item Recommendation

Semantic Search

Lead Intelligence

Predictive Quality Management Sales Performance Prediction Data Scientist Notebook Support SAP CoPilot integration

Process Monitoring

Multitouch Customer Attribution

Influencer Map and Deal Finder

Advanced Forecast Accuracy

Smart Alerts for Real Spend and P&L Analysis Handwriting Recognition

Customized Recommender Context Management

Embedded Analytics

Smart Worker Enablement on Shop Floor

Supply Chain Segmentation

Payment Block: Cash Discount at Risk

Insurance Bot

ML and CAI Integration

Intelligent Customer Experience Suite

Customer Retention (RTC 1811)

Industry Bots

Bot Marketplace

Predictive Overall Equipment Effectiveness

Demand-Driven Replenishment Adjustment

Data Pipelines Integration with additional CRM Computer Vision for Bot Stability

Agenda 1

Rasante Veränderungen hinterlassen Ihre Spuren

Intelligenten Unternehmen gehört die Zukunft

Völlig neue Erkenntnisse durch „X & O“

Intelligent Asset Management im Kontext „Design-to-Operate“

Stillstand ist keine Option - Call-to-Action!

ǀ PUBLIC

Was ist Experience Management?

WHY

WHAT is Happening?

is it Happening?

Operational data

Experience data

ÂŠ 2019 SAP Intelligentes Asset Management mit SAP

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Top Produkte können schlechte Kunden-Erlebnisse nicht kompensieren.

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Die “Customer Journey” ist entscheidend (Beispiel Automotive).

2. Web Experience

4. Incentives / Discount

Customer is guided with the right information, seamless experience across digital properties

Tailor and optimize offers and incentives to increase profitable conversions

6. Post purchase experience

8. Digital Services

Delightful brand and product experience Dealer – Seamless handover from sales to service department

Provide tailored value added services Help build customer intimacy by sharing data with right partners

1. Marketing

3. Dealership experience

5. Delivery experience

7. Service Experience

Personalized offers/ recommendations based on ownership history, digital and dealership interaction

Dealer - 360 view of the customer, recommend the right car and financing options

Proactive communications and on-time delivery

Deliver on the brand and service expectations

Customer feels he is always in control

Improve service technician satisfaction

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Customer has consistent dealership experience

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

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Die “Experience Gap”

aber nur 8% der Kunden stimmen zu. 19

Die richtigen Instrumente sind entscheidend !

ÂŠ 2019 SAP Intelligentes Asset Management mit SAP

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Experience Management eng verknüpft mit End-to-End Prozessen Aspekte: Customer, Employees, Product, Brand

Lead to Cash Customer Experience

Total Workforce Management People Engagement

Design to Operate Manufacturing & Supply Chain

Source to Pay Spend Management

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Auch im Asset Management spielt das Erlebnis (Experience) eine große Rolle…

Beispiel

Wirkung

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

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Mitarbeiter-Motivation Qualität, Kosten 23

Agenda 1

Rasante Veränderungen hinterlassen Ihre Spuren

Intelligenten Unternehmen gehört die Zukunft

Völlig neue Erkenntnisse durch „X & O“

Intelligent Asset Management im Kontext „Design-to-Operate“

Stillstand ist keine Option - Call-to-Action!

ǀ PUBLIC

Die Top Etagen möchten eine verknüpfte Supply Chain aber… ... denken organisatorisch immer noch in Silos!

Assets

Plan

an l P

Pl an

Customers

Design

Manufacture

Deliver

Operate

Suppliers

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Pl an

Manufacturers

Customers

SAP Digital Supply Chain Kern unserer Intelligent Suite

Design •

Reduce time to market

•

Continuously innovate

•

Deliver on customer demand

Manufacture •

Optimize manufacturing processes

•

Improve collaboration with contractors

•

Increase agility and responsiveness

Plan •

Holistic view of demand

•

Balance inventory and service levels

•

Improve forecast accuracy

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

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•

Predict and simulate asset behavior

•

Avoid unplanned downtime 26

Design-to-Operate auf der Hannover Messe 2019

ÂŠ 2019 SAP Intelligentes Asset Management mit SAP

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SAP Digital Supply Chain Kern unserer Intelligent Suite

Design •

Reduce time to market

•

Continuously innovate

•

Deliver on customer demand

Manufacture •

Optimize manufacturing processes

•

Improve collaboration with contractors

•

Increase agility and responsiveness

Plan •

Holistic view of demand

•

Balance inventory and service levels

•

Improve forecast accuracy

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

ǀ PUBLIC

•

Predict and simulate asset behavior

•

Avoid unplanned downtime 28

Neue Technologien eröffnen Wege in das digitale Asset Management

The Internet of Things (IoT) Provides sensor-enabled value-added services and business outcomes

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Artificial intelligence and machine learning

Real-time Engineering Simulation

3D Visualization & Augmented reality

Bring unprecedented insights and automation of knowledge work across the enterprise

Use physics-based digital twins for predictive engineering analysis in product development and operations

Provides unmatched situational awareness and enhanced perception for better decision making

SAP-Lรถsungen im (Design-to) Operate

Intelligent Asset Management Suite Maintenance Management and Operations SAP S/4HANA SAP ERP

Intelligent Asset Management

Ecosystem Collaboration SAP Asset Intelligence Network Asset Strategy and Performance

Maintenance Strategy Planning SAP Asset Strategy & Performance Management

Prediction & Simulation SAP Predictive Maintenance & Service SAP Predictive Engineering Insights enabled by ANSYS

Asset Health Prediction and Optimization

Asset Network and Collaboration

Unified Data Model Asset Central is the reusable asset registry for seamless integration and data consistency

Maintenance and Service Management SAP S/4HANA, IOT and SAP Leonardo

ÂŠ 2019 SAP Intelligentes Asset Management mit SAP

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Note: SAP ECC supported

Die Grundlage: Bereitstellung eines Netzwerks von digitalen Twins Kollaboration in einem offenen Netzwerks (AIN)

Apps Apps Apps

Manufacturer

Operator

Product intelligence

Asset intelligence Digital Twin Data

SAP Asset Intelligence Network ÂŠ 2019 SAP Intelligentes Asset Management mit SAP

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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

A common definition of machines and data and a network for digital services 33

SAP unterstützt flexible Ansätze für predictive Maintenance SAP Predictive Engineering Insights “Enabled by ANSYS”

SAP Predictive Maintenance and Service

75 78 82 79

Sensor Data

75 78 82 79

Engineering Simulation Multi-physics Engineering Models

Machine Learning Prediction & Anomaly Detection Algorithms Acquisition (part of SAP)

Multi-Body Dynamics

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Beispiel und Simulation eines digitalen Zwilling

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

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Roadmap für Intelligent Asset Management (IAM) IAM ist strategisches Thema für SAP und im Kern unserer Intelligent Suite

www.sap.com/products/roadmaps

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Agenda 1

Rasante Veränderungen hinterlassen Ihre Spuren

Intelligenten Unternehmen gehört die Zukunft

Völlig neue Erkenntnisse durch „X & O“

Intelligent Asset Management im Kontext „Design-to-Operate“

Stillstand ist keine Option - Call-to-Action!

ǀ PUBLIC

Stillstand ist keine Option – Call-to-Action!

01| Profitieren Sie von der

ǀ PUBLIC

02|

03|

04|

Nutzen Sie die

Kooperieren Sie, statt

Sprechen Sie mit uns,

Welche Fragen darf ich Ihnen beantworten? Matthias R iedel Head of Pr esales Digital Sup ply Chain & Manufactu ring M +49 151 678 34413 E matthia s.Riedel@s ap.com