Remote Connectivity Services

Global Industry
Solutions Group
Oracle Remote Service Delivery
Platform
Créer de nouveaux revenus avec l’IOT et le Bigdata
Oracle Confidential - Restricted
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information purposes only, and may not be incorporated into any contract. It is not a
commitment to deliver any material, code, or functionality, and should not be relied upon
in making purchasing decisions. The development, release, and timing of any features or
functionality described for Oracle’s products remains at the sole discretion of Oracle.
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Oracle Remote Service Delivery Platform
Pour le secteur manufacturier
Oracle dans le secteur manufacturier
Challenges et tendances
Et si vous pouviez …?
La vision d’Oracle
Solution industrie d’oracle et Cas d’usages
Comment commencer ?
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Exemple de manufacturiers utilisant l’IOT & le Bigdata pour
générer de nouveaux revenus
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Les acteurs manufacturiers doivent s’enrichir
du PRODUITS aux SERVICES
“Pour chaque euro d’équipement
vendu, si le service est de qualité,
il y a une extension potentielle de
8 euros en services ajoutés *
Larry Wash, President Global Services, Ingersoll Rand
Aberdeen CSO Summit Keynote
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Transformation du
PRODUITS aux SERVICES
Impact sur les processus d’entreprises du développement produit à la vente et
le service
N O U V EAU X M O D E L ES M E T I E RS S E RV I C ES
Garantie &
Réparation
Capture
Customer
Inquiries
Pièces de
rechanges
Integrate
Service
Channels
Conseil
Anticipate
Service Needs
Installation
Complexe
Gestion de
base
installée
Embed
Service in
Products
Products Sold
as Services
Gestion de
Services
parc et
digitaux
performances (Logiciels,..)
Produits et
services à
l’usage
De la réparation à La création de valeur ajoutée avec le service
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Les coûts de garanties consomment 2 à 3% des revenus
Les manufacturiers US réservent 36.6 Milliards de dollars de trésorerie par an pour la
gestion des garanties
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What If You Could …
• Easily incorporate Smart IoT
capabilities such as Remote
Monitoring into your products
• Faster time to market for
connected products and
services
• Flexibly handle event streams
from sensors
• Easily apply sophisticated
business rules for events
• Integrate event data into
business processes to drive
outcomes
• Drive business processes such
as service, sales, billing and
supply chain using sensor
events
• Analyze historical and real-time
sensor data
• Develop insights and
predictive algorithms for
product quality and failures
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Oracle Remote Service Delivery Platform
Enabling New Revenue Streams from Innovative New Services
Remote Connectivity Services
Software-Based Services
Customer Self Service
Device-Integrated Apps Store
Embedded Software Upgrades
& Patching
‘Call Home’ & ‘Call Out’ Telemetry
Consumption/Utilization Metering
Remote Monitoring & Diagnostics
Service Alerts & Reminders
Information Based Services
Customer Usage Analytics
Product & Services Upsell
Quality & Failure Mode Analytics
Warranty Analytics
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New Service Offerings
Performance-Based Service
Contracts
Consumption-Based Service
Contracts
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Oracle Remote Service Delivery Platform
4. Deliver role-based information on
a single integrated user interface
3. Generate alerts and
recommendations in real
time
5. Convert insights to
action through process
integration
Service Applications
Visualization
Event
Management
Data
Management
1 . Aggregate and manage massive
amounts of structured and
unstructured data
Visualization
Big Data
Analytics
Big Data Analytics Platform
Business
Process
Integration
Analytics
2. Uncover predictive patterns
and root causes from massive
amounts of data
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Differentiation
Fastest Time to Market
Proven Performance &
Scalability
Seamless Big Data &
Analytics
Integrated Business
Functions
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11
Remote Service Delivery Platform Use Cases
Track & Trace Supply Chain Quality Issues
Remote Monitoring
Condition-Based Maintenance
Remote Diagnostics
Usage-based Services
New
Services
Software-based Services
Predictive
& Root
Cause
Analytics
Predict Warranty Cost & Experience
Quality & Warranty Early Warning
Root Cause Analysis of Failures
Performance-based Contracts
Alerts &
Analytics
Alerts & Reminders
Command Center
Warranty Analytics
Install-base Analytics
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Remote Service Delivery Platform Use Cases
Track & Trace Supply Chain Quality Issues
Remote Monitoring
Develop new
business
unit for
Remote
Diagnostics
Data Center Infrastructure
Usage-based
Services
Management
using fast
data,
event management and analytics
Software-based Services
Condition-Based Maintenance
New
Services
Predictive
& Root
Cause
Analytics
Provide
Vehicle
HealthCost
Report
to
Predict
Warranty
& Experience
customers with customized service
recommendations
Quality/Warranty Early Warning
Root Cause Analysis of Failures
Performance-based Contracts
Alerts &
Analytics
Alerts & Reminders
Warranty Analytics
Command
Center
Install-base
Analyze
Warranty Claims data rapidly
to Analytics
identify root cause
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Quality & Warranty Early Warning
Reduce warranty costs by accelerating discovery
Challenges / Opportunities
Solution
• Easily combine information to swiftly start the
investigation
• Warranty expenses consume 2-3% of revenue
• US manufacturers accrue $36.6 Billion per year for
warranty reserves
• Easily explore the different paths to find the root
cause
• Large number of data sources make analysis difficult
• Easily evolve the application to keep pace with the
investigation
• Discovery of root cause is time-consuming and
challenging
• Exponential increases in warranty costs by lifecycle
phase
• Use root cause and predictive analytics to identify
trends early
Customer Example
Delphi achieves early detection of
emerging issues, faster resolution
and improvement in warranty costs
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Condition Based Maintenance
Improve asset reliability, reduce downtime and improve utilization
Challenges / Opportunities
Solution
• Utilize a combination of sensor data, historical
asset performance data, warranty data and failure
experience data to build predictive models
• Traditional calendar, or utilization-based
maintenance schedules often overstate or
understate the need for maintenance and repair
• Information is often available that could be used to
create smarter, personalized maintenance
recommendations by predicting imminent failure or
reduced performance
• Improved asset utilization and reduced maintenance
cost can be achieved through condition-based
maintenance,
• Leverage Fast Data technologies to apply models to
streaming event data
• Alerting and Business Process Integration
technology can convert maintenance
recommendations into business actions
Customer Example
GM OnStar and Hyundai use
connected vehicle inputs to
personalize the service experience
through Vehicle Health Reports
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Predictive Analytics
From reactive service to proactive service
Challenges / Opportunities
• Existing service models are based on fixing problems
after they have occurred, resulting in customer
dissatisfaction, disruptions and increased costs
• The aim of predictive analytics is first to predict when
equipment failure might occur, and secondly, to
prevent occurrence of the failure by performing
maintenance.
• Traditional analytical modeling techniques require
data scientists, separate data marts making it difficult
to integrate into ongoing business processes
Solution
• Utilize large number of data sources and variables
to build predictive models
• Perform analytics in place where data lives, rather
than moving data to separate data marts
• Increased speed of iterative model development
• Integrate results into standard, familiar BI tools and
business processes, thus making models useful
Customer Example
Oracle SUN division uses
Predictive Analytics to
predict failures, and spare
parts requirements
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Root Cause Analysis of Failures
Reduce time to insights and accelerate time to resolution
Challenges / Opportunities
 Need to find root cause quality problems fast
 Needed to combine dozens, some times hundreds of
data sources, structured and unstructured, internal
and external
 Not possible to train hundreds of engineers to write
queries to sift through data
 Traditional approaches very time consuming
 In a recall situation, costs and impact of delays can
be disastrous
Solution
• Utilize combination of flexible data management,
information discovery, visualization and analytical
capabilities to get to root cause
• In-place information discovery and analytics
eliminates delays and bottlenecks
• Save engineering resource delays, wait times and
costs
• Reduce impact of quality issues and part failures
Customer Example
Toyota used Oracle
technologies to aid in the Root
Cause Analysis of Unintended
Acceleration reports
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Command Center – 3600 View of Assets
Deliver unprecedented visibility for all your customer assets
Challenges / Opportunities
• Engineers, Maintenance Managers and Customers
struggle to access asset status and related
information such as history, geographical
distribution, availability, performance
• Too much information makes it difficult discern what
is important , resulting in unnecessary failures and
lack of actionable insights
• IoT, Big Data and Connected devices are only
increasing the deluge of information
Solution
• Utilize robust data management platform that can
handle massive amounts of structured,
unstructured data from sensors, service systems,
engineering, quality as well as social media
• View asset status and all related information from a
centralized, secure command center
• Instrument alerts to identify exceptions
• Rich visualization for guided discovery of insights
Customer Example
GM OnStar monitors largest fleet of
connected vehicles to provide
broadest array of Connected Vehicle
services
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Remote Service Delivery Platform Solution Architecture
Accelerate this Process
• Capture all your data
• Perform discovery on data
• Develop analytic models across
data warehouse and data
reservoir
• Deploy models based on
streaming data
• Analyze and operationalize
results
Scale to Many Use Cases
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Why Choose Oracle Remote Service Delivery Platform
1
Oracle has the industry’s most complete
Remote Service Delivery solution from
sensor event ingestion to business outcomes
2
Oracle provides faster time to market for IoTenabled smart products and services
3
Oracle’s Integrated Big Data & Advanced
Analytics enable mining of valuable insights
and predictions
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