external
SAP Leonardo Connected Infrastructure
Mahira Kalim
Sr. Director
SAP Leonardo
Internet of Things, GTM
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The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the
permission of SAP. This presentation is not subject to your license agreement or any other service or subscription
agreement with SAP. SAP has 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's strategy and possible future developments, products and or platforms directions and functionality are all
subject to change and may be changed by SAP 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. This
document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied
warranties of merchantability, fitness for a particular purpose, or non-infringement. This document is for informational
purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this
document, except if such damages were caused by SAP´s willful misconduct or gross negligence.
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,
which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
Legal disclaimer
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SAP Leonardo IoT Strategy
SAP Leonardo IoT connects things with people and processes
Only 5% of organizations feel that they have mastered digital
to a point of differentiation from their competitors.
Source: Accenture, Digital Transformation in the Age of the Customer
Companies with 50% or more of their revenues from
digital ecosystems achieve 32% higher revenue growth
and 27% higher profit margins. Source: MIT Sloan Management Review, Thriving in an Increasingly Digital Ecosystem
72% of global CEOs believe the next 3 years will be
more critical for their industry than the last 50 years.
Source: Forbes Insights, 2016 Global CEO Outlook
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MachineLearning
Integration
Real-time Analytics
Natural Language
Mobile
Collaboration
IoTMicro-services
Networks
APIs
connecting People, Things and BusinessesIntelligently
Big Data
Business ProcessInnovationConnected Data Design Thinking
Experience
6INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
The digital innovation system that enables you to
innovate at scale to confidently redefine your business.
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SAP Leonardo IoT Connects Things with People and Processes
SAP provides a highly innovative IoT solution portfolio which extends the digital core
with adaptive applications, big data management and connectivity to enable:
• New Business Processes
• New Business Models
• New Work Environments
8
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Things Processes
Application
Platform
IoT
Applications
1. Live insights
Condition monitoring,
location, environment, usage,
consumption
2. Predictive analytics
Equipment health, remaining lifetime,
demand and supply forecast, time of
arrival
3. Optimize processes
Lower maintenance cost, higher
efficiency, reduced waste, fewer
claims, faster response, shorter
cycles
4. New business models
Usage-based pricing, product-as-
a-service
SAP Leonardo Innovation Portfolio: From Things to Outcomes
THINGS
OUTCOMES
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SAP Leonardo Innovation Portfolio
SAP Leonardo Bridge
Product Insights
Goods and Equipment
Supply Networks
Fixed Asset Insights
Manufacturing Execution
Manufacturing Networks
Mobile Asset Insights
Logistics Safety
Logistics Networks
Energy Grids
Transportation
Building Insights
Market Insights
Rural Areas
Urban Areas
People and Work
People and Health
People and Homes
Connected
ProductsConnected
AssetsConnected
FleetConnected
InfrastructureConnected
MarketsConnected
People
SAP Leonardo Foundation
SAP Cloud Platform / SAP HANA Platform
SAP Leonardo Edge
Computing
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SAP Leonardo Innovation Portfolio
SAP Leonardo Bridge
Product Insights
Goods and Equipment
Supply Networks
Fixed Asset Insights
Manufacturing Execution
Manufacturing Networks
Mobile Asset Insights
Logistics Safety
Logistics Networks
Energy Grids
Transportation
Building Insights
Market Insights
Rural Areas
Urban Areas
People and Work
People and Health
People and Homes
Connected
ProductsConnected
AssetsConnected
FleetConnected
InfrastructureConnected
MarketsConnected
People
SAP Leonardo Foundation
SAP Cloud Platform / SAP HANA Platform
SAP Leonardo Edge
Computing
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What is Connected Infrastructure?
Managing infrastructure assets efficiently
- Optimize the end-to-end infrastructure
for Energy Grids including pipelines,
cables, wind turbines, smart meters
etc.
- Efficient maintenance of aging
Transportation infrastructure
including roads, railroads, bridge, toll
systems etc.
- Building Insights to optimize
building operations, maintenance
and energy consumption for
commercial buildings, malls,
stadiums etc.
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SAP Leonardo Internet of Things - Things View
Connected
ProductsConnected
AssetsConnected
PeopleConnected
Fleet
Product Insights
Goods & Equipment
Supply Networks
Fixed Asset Insights
Manufacturing Execution
Manufacturing Networks
Mobile Asset Insights
Logistics Safety
Logistics Networks
Energy Grids
Transportation
Building Insights
Market Insights
Rural Areas
Urban Areas
Work
Health & Sports
Homes
Connected
InfrastructureConnected
Markets
Components
Coffee Makers
Vending Machines
Coolers
Drills
Other low value / high
volume ‘things’
Machines for fabrication,
assembly or packaging
Wind Turbines
Large Drives
Generators
Vessels / Tanks
Pumps
Other high value / low
volume ‘things’
Cars
Trucks
Rail
Forklifts
Equipment
Robots
Aircraft
Ships
Construction Machines
Containers & HUs
Other moving ‘things’
Smart Grids
Wind Turbines
Pipelines
Roads
Bridges
Rail tracks
Buildings
Other networked ‘things’
Retail Spaces
Public Spaces
Farms
Cities
Other ‘spaces’
Humans
Connected Infrastructure – Energy GridsManaging and improving life span of aging utilities infrastructure for water, gas and
electricity
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Global trends transforming the utilities sector
Industry trends require new business models
Aging
Infrastructure Business
Paradigm Shift
Decentralization of
Energy GenerationRenewable
Energy Higher
Demand
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SAP Leonardo Internet of Things Connected Infrastructure – Energy Grids
Challenges BenefitsSAP Connected Energy Infrastructure
Lack of visibility
Regulatory
Compliance
Growing
Competition
Manual Efforts
Lost Revenue
Maintenance
CostsHigher Asset
Utilization
Reliable
ServiceHigher
Sustainability
Customer
Satisfaction
IT / OT
Integration (Cloud
for Energy)
Asset Intelligence
Network
Predictive
Maintenance
Energy Analysis
& Management
S/4HANA Cloud Platform / SAP HANA Platform
Grid Stability
ProsumersSmart HomesMicro Generation Electric Vehicles
Renewable Energy Smart Meters Smart GridEnergy Storage
Outages &
Disruption
✓
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SAP Connected Infrastructure – Energy Grids
Use Case: Asset Health Monitoring & Maintenance
Customer ProfileIndustry: Utilities
Key Stakeholders: VP of Operations &
Management, Reliability Engineers, Maintenance
Operators
ResolutionMove from reactive or prescriptive to proactive monitoring
and maintenance, determine true age of the assets,
accurately predict likelihood of failure, lower maintenance
cost, improve operational efficiency
BOM:
• SAP Predictive Maintenance and Service, Utilities add-
on
• SAP Asset Intelligence Network
• SAP HANA OSIsoft Connector
• SAP Leonardo IoT for Edge & SAP Leonardo IOT
Foundation, SAP Leonardo Bridge*
• SAP HANA Platform / SAP Cloud Platform
Business Benefits
• Move from reactive or prescriptive to proactive
monitoring and maintenance, determine true age of the
assets, accurately predict likelihood of failure, lower
maintenance cost, improve operational efficiency
• Develop long-term planning for asset maintenance and
replacement
• Prevent failure and disruption of service; improve
customer satisfaction
• Improve safety and compliance
Business Challenges Utilities run, operate, maintain and rely
upon many heavy such as transformers,
circuit breakers, wind turbines, power
plants; as well linear assets including
pipelines, overhead cables etc. that are
critical for reliable, uninterrupted
operations
Unplanned equipment downtime and
unexpected failure impact service
reliability, disrupt service, cause outages
and result in high penalty fees
Asset downtime and repair activities
result in loss of revenue and lower
customer satisfaction
If the failure goes undetected, it could
become a major safety hazard
High total cost of ownership, operation
and maintenance of utilities assets
Difficulty in locating underground assets
that may cause failure or develop into a
hazardous situation
5-10% Reduction of equipment capital investment by
extending the useful life of machinery
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SAP Predictive Maintenance and Service, Add-on for Utilities
Material Code: 7019054
Solution Owner: Dr. Gero Bieser
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Converging IT &
OT data to achieve
operational
excellence
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Company
CenterPoint Energy
Inc.
Headquarters
Houston, Texas
Industry
Utilities
Products & Services
Electricity
transmission &
distribution, natural
gas distribution, sales,
and services
Employees
7,400
Revenue
US$9.2 billion
CenterPoint Energy Inc. Asset Health Monitoring & Maintenance
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Converging IT and
OT worlds by
processing 500M
sensor records
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Digital Twin
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SAP Digital Twin for Structural Dynamics
Structural Integrity Use Case
Business Challenges Due to rough conditions and remote location, physical inspection of
the turbines is very costly and at times impossible. SAP’s Digital Twin
enables virtual real-time monitoring of the tower, replacing and/or
complementing physical inspections. In addition, the lifetime of the
asset is calculated and predicted based on both real and virtual sensor
data.
SolutionHANA Cloud Platform Application Extension•
Real• -time structural analysis and 3D stress visualization
Continuous monitoring of damage in tower and foundation•
Real• -time fatigue damage and remaining life assessment
Incident and scenario analysis (hindsight and foresight)•
Roadmap: Powertrain & blade monitoring•
BenefitsMaintenance cost reduction: Predictive qualities•
Lifetime extension: Full load history •
Improved operation: Tradeoff production vs structural damage•
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Real time monitoring
of wind turbines with
SAP Digital Twin
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SAP Connected Infrastructure – Energy GridsUse Case: Pipeline Integrity Management
Customer ProfileIndustry: Utilities, O&G
Key Stakeholders: VP Operations, Pipeline
Maintenance & Integrity Manager, Inspection
Engineers & Contractors Business Challenges Aging pipeline infrastructures (e.g., Oil, Gas,
Water, Chemicals, & Waste) need extreme
renovations and upgrades to improve
performance, comply with regulations,
increase safety by minimizing risks from
ruptures, spills, and explosions.
Identify leakage or maintenance issue before
it becomes a major hazard and cause
flooding, spills or explosions
Real-time decision making requires
aggregation of data that reside in numerous
disparate data sources often distributed
across the company and the public
infrastructures.
Threat identification and risk analysis
requires use of advanced statistical
algorithms on these large data sets.
ResolutionSAP solution for Pipeline Integrity Management uses
SAP HANA platform to connect in real time with various
data sources, correlate pipeline integrity KPIs with
geospatial processing to detect pipeline failures in
proximity to critical-locations.
BOM:
• SAP Predictive Maintenance and Service (with
Industry Add-Ons)
• SAP Asset Intelligence Network
• SAP Leonardo IOT Foundation, SAP Leonardo IOT
Edge, SAP Leonardo Bridge*
• SAP Cloud Platform (formerly HCP) or SAP HANA EE
Business Benefits
• Reduced risk and increased safety
• Regulatory Compliance
• Optimal allocation of resources
• Reduced maintenance costs
• Prevent air and water pollution from spills and
ruptures
$2.8bnin damages from pipeline leaks in US
since 2010
Testimonial
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Annual spend for
asset maintenance
reduced by 1-2%
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Lower
Better
Higher
Customer Testimonial
Alliander NVPipeline Integrity Management
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80% response rate to
infrastructure issues
in 2014, compared to
only 1% in 2009
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City of Buenos AiresPipeline Integrity Management
After 3 days of torrential rain
Kept clear
in 2014, vs 1% in 2009
Resolved annually
For inspections investigated/year
Organization – Gobierno de la Ciudad Autonoma de Buenos Aires (City
of Buenos Aires – Ministry of Environment & Public Space)
Location – Buenos Aires, Argentina
Industry – Public sector
Products & Services – Public services for ~6m citizens
Employees Approximately 120,000
Website www.buenosaires.gob.ar
Customer Testimonial
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SAP Connected Infrastructure – Energy GridsUse Case: Demand Management for Grid Stability
Customer ProfileIndustry: Utilities
Key Stakeholders: Head of Operations, Head of
Marketing, Data ScientistsBusiness Challenges Need to enhance performance, reliability,
resilience, and safety of the aging power
grid
New and unpredictable load on the grid
with new generation of smart appliances,
electric vehicles and greater automation
of manufacturing
Difficult to predict demand with
distributed and micro generation
Need to improve demand forecasting for
better grid reliability
Need to integrate growing power
generation sources such as renewable
energy, microgrids, prosumers etc., for a
reliable and consistent supply
Need to improve sustainability by
lowering carbon footprint, GHG
emissions
Resolution
BOM:
• SAP Leonardo IOT Foundation, SAP Leonardo
IOT Edge, SAP Leonardo Bridge*
• SAP Cloud Platform (formerly HCP) or SAP
HANA EE
• SAP Meter Data Management by Siemens*
Business Benefits
• Offer dynamic pricing to better manage load on
the grid
• Improve grid reliability
• Lower carbon footprint
• Improve customer satisfaction with a reliable,
seamless experience
• Determine energy consumption patterns and
peak loads/times, identify problem areas to
accurately forecast demand
151%Increase in WW electricity demand
*Future Scope
Historical
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Load forecasting
using SAP HANA to
predict peak loads
and better plan
investments to
increase capacity
Connected Infrastructure – Transportation Connecting millions of miles of railroads, roads, bridges, highways and tunnels
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Defect
Crossing
V
1
1
2
2
Force = Function(defect size, accelleration)=> Size of defect
Vertical acceleration of the sleepers [m/s-2]
SAP Connected Infrastructure – TransportationRailroad Infrastructure
Customer ProfileIndustry: Transportation, Public
Sector, Railways, Construction
Stakeholder: Head of Engineering
Business Challenges Delays, derailments and accidents caused
by failure of track components (buckling in
high temperatures, broken or worn out rails,
track geometry etc.)
High maintenance expense to ensure
operational safety of track components
such as switches
Current methods of maintenance are
reactive or prescriptive by running sensor-
laden measurement trains 4-5 times a year.
Need access to real time data for predictive
maintenance
Unknown structural load utilization of
components
High inspection costs & penalties
ResolutionReal time monitoring of the health of tracks, rail switches and alerting
maintenance teams of current or potential failures. Real-time structural
analysis and 3D stress visualization for digital inspections. Real-time
fatigue, damage and remaining life assessment
BOM:
• SAP Predictive Maintenance and Service
• SAP Asset Intelligence Network
• SAP Digital Twin for Structural Dynamics* (Fedem)
• SAP Leonardo Bridge, IOT Foundation, IOT Edge Processing
• SAP HANA Platform / SAP Cloud Platform
• SAP Plant Maintenance (for discrete & linear assets)
• SAP Work Manager
Business Benefits
• Improved railroad safety; prevent unexpected faults, delays and
service disruptions
• Lower cost of operations and maintenance with proactive monitoring
• Meet government safety and compliance standards and avoid heavy
penalties
• Extend lifetime of linear assets
• Digital Inspection to be used as basis for visual inspections or other
action
•
$27.1bn Spent in 2015 to maintain, grow & modernize
the US railroad infrastructure
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SAP Connected Infrastructure – TransportationBridges & Roads Infrastructure
Customer ProfileIndustry: Transportation, Public Sector,
Construction
Stakeholder: Head of Engineering
Business Challenges Outdated and aging road and bridges
infrastructure
Need to monitor wear and tear caused by
usage; load on bridges
High costs of maintenance and inspection;
penalty costs for non compliance with
safety standards Difficult to predict
remaining life
Low visibility into materials and parts
specifications
Safety hazard, traffic bottlenecks, air
pollution
Resolution
BOM:
• SAP Predictive Maintenance and Service
• SAP Asset Intelligence Network
• SAP Digital Twin for Structural Dynamics* (Fedem)
• SAP Leonardo Bridge, IOT Foundation, IOT Edge
Processing
• SAP HANA Platform / SAP Cloud Platform
• SAP Plant Maintenance (Linear Asset
Management)
• SAP Work Manager
Business Benefits
• Accurately predict remaining life based on material
fatigue and stress
• Lower cost of maintenance and optimize repair by
• Improve traffic flow
• Optimize maintenance and service of linear assets
by accurately identifying and predicting possible
obstructionFedem Bridge Structural Integrity VR demo
188m Trips taken every day across structurally
deficient bridges in the US
Connected Infrastructure – Urban Infrastructure IoT-enabling urban centers such as commercial buildings, retail malls, stadiums etc.
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SAP Connected Infrastructure – Urban Infrastructure Building Insights Use Case
Customer ProfileIndustry: Commercial Buildings, Manufacturing
Plants, Factories, Retail
Key Stakeholders: VP Building Operations,
Sustainability Officer
Business Challenges Manufacturing companies have energy-
intensive operations that can seldom be
energy inefficient, with high cost of
consumption, and lead to unsustainable
operations
Commercial buildings, households as well
as manufacturing companies lack visibility
into their energy costs and consumption
patterns. In order to optimize energy
usage of HVAC systems, they need
visibility into consumption data,
occupancy, weather forecast etc.
High building maintenance costs, out of
order assets such as elevators,
escalators, HVAC systems
Safety, security, seismic threats
ResolutionBOM:
• SAP Energy Analysis / Management* (Cloud for Energy)
• SAP Predictive Maintenance and Service
• SAP Asset Intelligence Network
• SAP Real Estate Cockpit
• SAP Leonardo Bridge, IOT Foundation, IOT Edge
Processing
• SAP HANA Platform / SAP Cloud Platform
Business Benefits
• Higher energy efficiency, reduce energy waste, lower
energy costs by utilizing off peak rates
• Manufacturing companies can identify under utilized and
degraded assets to discover and address energy
inefficiencies
• Improve sustainability, lower carbon footprint
• Efficient operations, lower operational costs
• Proactive maintenance, lower maintenance costs
• Increase safety and security
• Seismic sustainability
• Improve compliance
40%of global energy consumption is from
buildings
*Future Scope
Demo
© 2017 SAP SE or an SAP affiliate company. All rights reserved. 37external
Connected
Markets
Connected
Infrastructure
Connected
Products
Product & Project Network*
Engineering Control Center
Product Lifecycle Costing
Ariba Sourcing
IoT core products
Future scope*
Product Insights
Connected
AssetsConnected
Fleet
Connected
People
Connected Goods
IBP for response & supply
Hybris Billing
Goods & Equipment
Supply Chain Control Tower
Track & Trace*
Ariba Advanced Supply
Chain Automation
Supply Networks
Asset Intelligence Network
Predictive Maintenance
Work Manager
Ariba Adv Supply Chain
Automation
Fixed Asset Insights
Manufacturing Execution
Manufacturing Integration
& Intelligence
Plant Connectivity
Manufacturing Execution
Manufacturing Integration &
Intelligence
Global Batch Traceability
Track & Trace*
Distributed Manufacturing*
Manufacturing Networks
Vehicle Insights
Predictive Maintenance
Asset Intelligence Network
Mobile Asset Insights
Transportation Safety*
Connected Parking
EHS dangerous goods
Logistics Safety
Track & Trace*
Yard Logistics
Warehouse Management
Networked Logistics Hub
Vehicle Networks
Logistics Networks
Predictive Maintenance
Asset Intelligence Network
Manufacturing Integration
& Intelligence
Ariba Procurement
Building Insights
Predictive Maintenance
Asset Intelligence Network
Digital Twin*
Plant Maintenance
Transportation
PdMS for Utilities
Asset Intelligence Network
Digital Twin*
Energy Analysis*
Energy Grids
Customer Activity Repository
Connected Goods
Connected Marketing
Market Insights
Vehicle Insights
Predictive Maintenance
Connected Agribusiness*
Rural Areas
Networked Logistics Hub
(Ports)
Smart Traffic
Connected Parking
Urban Areas
Smart Operations Room*
Knowledge Workspace*
SAP JAM
People and Work
Connected Goods
Connected Patient*
People and Health
Connected Homes*
(Insurance)
People and Homes
In 2017 SAP is positioning six IoT application categories
SAP Leonardo Innovation Portfolio for IoT Applications
IOT Applications
IOT Foundation &
Platform
IOT Edge
Thank you.
© 2017 SAP SE or an SAP affiliate company. All rights reserved. 39external
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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
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developments, products, and/or platform 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.
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