Post on 15-Apr-2022
PUBLIC
12th January 2021
An ocean of corporate data: divingin to discover hidden worlds. Data Science & Data Management
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Today's Speakers
Andrea Pagliari
Head of Business Development
SAP Services EMEA South
Fabio Fontana
Business Enterprise Architect
SAP Services EMEA South
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Let's Build the Intelligent Enterprise Together – Q1!
The right Customer
Experience platform for
your business
February 23rd
Customer Experience
SAP Analytics Cloud.
The innovation of the
Analytics App
January 21th
An ocean of corporate data: diving in to
discover hidden worlds. Data management and
priorities in the Intelligent Enterprise
January 12th
Business Technology Platform
Secrets From The Field: benefits and
ingredients for Asset Management, Predictive
Maintenance and Productive Quality Control
March 9th
Industry 4.NowSAP S/4HANA
S/4 innovation cannot
wait – the system
conversion
February 9th
How to use the SAP Cloud Platform to extend
SAP solutions and to create innovative
applications
March 23rd
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Let's Build the Intelligent Enterprise Together – Q1: Adoption Success!
Overview of SAP Commerce
Business User
January 28th
Overview of Training for SAP
S/4HANA Logistics
February 4th
SAP Business Objects Web
Intelligence: Overview of
BOW320 ILT
February 16th
Overview of SAP
SuccessFactors Education
Offerings – Start your Learning
Journey
March 4th
Overview of SAP Marketing
Cloud Key Features &
Extensibility ILT
March 16th
Overview of Training for SAP
S/4HANA Logistics
February 4th
SAP Marketing Cloud:
Overview of C4H260 ILT
February 23rd
Discover SAP Enable Now
January 27th
Discover SAP Enable Now
February 24th
Discover SAP Learning Hub
January 25th
Overview of SAP Commerce
Business User
February 3rd
Overview of Training for SAP
Analytics Cloud
March 23rd
Discover SAP Learning Hub
February 23th
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• Advanced Data Management at
Enterprise Level
• Why new data & techniques
• What we can do with them
• Where to use them
• How to use them
• Data Management Platforms and
SAP Data Intelligence
• Use cases and SAP Services
Agenda
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Look Closely…
Which animal has this eye? What type of rock is this?
Marble LimestoneBoar Bison Walrus
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What Animal Does This Eye Belong To?
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What Type of Rock is this?
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The Importance of Data Correlation for Intelligence
Customer
Experience Data
Sales Data
Master Data
Surveys
Navigation Logs
Product Catalogues
Sensor Data
Image Analysis
Blogs
ArticlesNews
Marketing
Intelligence
Research Papers
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Descriptive & Diagnostic Predictive & Prescriptive
Analytics on ERP and LOB Data
Structured Data
Real-Time reporting and Self-Service
Structured Data
Analytics leveraging
geospatial data
Geospatial Data
Plant Data MESSensor Data
IoT
Structured and unstructured
Big Data
New Data = New Analytics Scenarios
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What is Data Science?
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What is Data Science?
Statistics
Data Analysis
Machine
Learning
Find Patterns
Enhance Data
Predict Events
Make Decisions
Predict Trends
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Sales
Enablement
Demand
Generation
Customer
Support
Customer discovery &
insights
(build 360° view)
Marketing execution
Drive personalization
Drive conversion
Optimize service
response times
Life-time value
prediction and churn
analysis
Automated triage and
diagnostics
Use Cases - During Sales Cycle
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Use Cases – in Manufacturing
Predictive quality(Compliance analysis and tolerance trend
prediction)
Predictive maintenance
Anomaly detection
Anomaly prediction
Production simulation
What-if analysis
DURING PROCESS BEFORE & AFTER
Predictive Quality
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Recent and New Trends (2020-2021)
Small Data• Balance machine learning with human domain expertise
• Machine learning is reviewed by human experts, reducing the need for vast sets of data
• E.g. medical treatment prescription drugs to treat specific conditions, drug discovery, industrial image retrieval, design of new consumer products, detection of defective factory machine parts,
• Personalized Monitoring Models (PMM) • Use an initial subset of data to better interpret the data gathered afterwards.• E.g. leverage a very small sample of heartbeats (motif) during the configuration to
speed up training and improve anomaly detection accuracy using an Artificial Logical Network
Granular Time-Series Data• To detect some phenomena, the interval of data collection must be smaller.• E.g. heart-attack prediction, anomaly detection and prediction
Remote Monitoring• COVID accelerated the application and the need of Remote Monitoring techniques in
many areas.
Sources: Harvard Business Review: https://hbr.org/2020/02/small-data-can-play-a-big-role-in-ai
TDWI: https://tdwi.org/articles/2020/12/16/data-all-small-data-big-in-2021-and-other-tipping-points.aspx
TDWI: https://tdwi.org/articles/2020/12/17/biz-all-three-digital-business-strategies-game-changers-in-2021.aspx
JMIR: https://biomedeng.jmir.org/2020/1/e24388
• Add human
expertise
• Point the
algorithm in the
right direction
• Analyze at the
best level of
detail
Putting ideas into practice…
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Advanced Analytics & ML challenge Data Management to a whole new degree!
• Structured, unstructured,
streaming
• Batch, (near) real-time
• Transactional, Analytical,
Hybrid
Integration
• Several heterogeneous
engines
• Diverse processing
patterns (offline, lambda,
event-driven …)
Processing
• Discover the available
data sets, and find out
their semantics
Discovery
• Data inconsistencies and
fragmentation
• Biased data sets
• ML model life cycle
Quality
• Data privacy and
protection
• Data lineage and auditing
Compliance
• Distributed landscapes,
cloud and on-prem
• Elastic scaling
• Monitoring
Operations
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Challenges in Today's Enterprise LandscapesThe result is landscape complexity
Customer
Experience
Manufacturing
& Supply Chain
Digital
Core
People
Engagement
Network & Spend
Management
Applications
Data Marts
Third-Party Data
Data
Warehouses
Cloud
Datastores
Databases
Data
profiling
Data
cataloging
Data
masking
Speech
recognitionETL
Video
processing
Geospatial
processing
Data
cleansing
ELTTime
series
Text
analytics
Machine
learning
Data
quality
Data
ingestion
Data
replication
Event
Stream
processing
Streaming
analytics
Graph
processingImage
processing
Metadata
management
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An example standard workflow for Machine Learning
Data
Merging
Data
Extraction
Data
Preprocessing
Data
Preprocessing
Data
Upload
Model
Design
Model
Training
Model
Validationbad
good
Deploy
Scenario
Integrate
Scenario
Operationalize
LifecycleMaintain
Lifecycle
Data
Extraction
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Data Science is not just about Data Scientists
Along came Operations...
Always the same
discussion. It’s so slow.
Costs money.
Doesn’t scale.
And I’m half way fired or
in jail if this is not
compliant!
Head of BI
IT
Operations
IT
Developer
Did anyone
check data
access rights?
Does our
architect know
about this?
How to
transform/embed this
in our application
technology?
How to automate
this?
How to monitor?
How to maintain this?Enterprise
Architect
How to make this
process safe, stable
and functional?
Is this an
enterprise
architecture?
Data
Scientist
Here is my
python code!
I‘m not the one
to productize
this
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Enterprise Data Management, Data Science & AI
Manage
the Data
Discover
and Refine
Manage
the Delivery
and Governance
Govern
and Comply
Manage
the Development
Compose, Conduct,
Orchestrate
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Introducing SAP Data Intelligence:
Enterprise AI meets Intelligent Information Management
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The Foundation of the AI Assembly Line
Streaming Data Structured Data Unstructured Data
Machine Learning
Deep Learning
Data Hub Orchestration
Agile Data Preparation
Deploy Models
Monitor Performance
Replace and Retire
Refine and Enhance
Personalized Interaction
Visualize and Respond
Automate Business Processes
Connect
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SAP Data Intelligence delivers value from distributed data assets
Discoveryour data landscape and its interconnections.
Refineenrich, transform, reuse, curate
Governand secure data assets transparently with compliance
Orchestrateyour data using modular data pipelines
Kubernetes Infrastructure
SAP Data Intelligence
Intelligent Applications
Enterprise Applications, Ad-hoc Reporting, Planning, Predictive Analytics, Big Data Analytics
Data Governance
Metadata Management
Data Preparation
Access Governance
Integration & Orchestration
Pipeline Modeling
Data Workflows
API Access
External
Connections
Structured Data
Unstructured Data
Streaming Data
Pipeline Processing & System Management
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SAP Data Intelligence accelerates and automates artificial intelligence
initiatives
Scale AIacross your landscape
Deliver AIManage the models and delivery
Data science platformDiscovery, explore, experiment
Kubernetes Infrastructure
SAP Data Intelligence
Intelligent Applications
Enterprise Applications, Ad-hoc Reporting, Planning, Predictive Analytics, Big Data Analytics
Machine Learning Content
ML Scenario Manager
ML Operations Cockpit
JupyterLab
Data Governance
Metadata Management
Data Preparation
Access Governance
Integration & Orchestration
Pipeline Modeling
Data Workflows
API Access
External
Connections
Structured Data
Unstructured Data
Streaming Data
Pipeline Processing & System Management
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SAP Data Intelligence enables innovation to become REAL and deliver VALUE
Integrate any
data
Reuse any
engine
Democratize
intelligence
Ensure Data
Quality
Any cloud or
on-prem
Solve the data deluge, and
integrate any kind of data.
Orchestrate any SAP or
non-SAP data processing
engine.
Make ML easier, scale it,
operationalize it, and
govern model lifecycle.
Discover, prepare and
govern all your data assets
in the same tool.
Deploy on any mix of
hyperscalers, hybrid on on-
prem.
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Classic BI Architecture
Enterprise Data
WarehouseERP
Other
Sources
SAP BW
SAP BPC
Excel
Analytics Front End
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High Level Architecture – Introducing Data Orchestration
Semantic Layer
Data Orchestration Data Science Platform
Streaming
ERP Data LakeOther
SourcesIoT MES Enterprise Data
Warehouse
SAP BW
SAP BPC
Excel
Analytics Front End
Data Intelligence
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IoT Ingestion and
Orchestration
Business Application Transformation
Transform IoT event streams into
enterprise-ready data, and derive
actionable insights
Streamline innovation initiatives around
Business Applications, supporting
enterprise transformation programs
▪ Predictive maintenance
▪ Manufacturing product
as-a-service
▪ Intelligent logistics
▪ Customer Risk Intelligence
with S/4 HANA Cloud
▪ Timesheet Analytics with
Fieldglass
SAP Data Intelligence for Intelligent Information Management
App
SAP HANA
Data Lake
Data Streams
SAP Data
Intelligence
Data Warehousing
Build a multifaceted data
warehouse, across diverse and
distributed data assets
▪ Customer 360 view
▪ Marketing campaign
effectiveness
▪ Renewable energy
production simulation
SAP Data
Intelligence
Analytics Cloud
SAP HANA Data Lake
SAP BW4/HSAP Data Intelligence
S/4SAP Cloud
Apps
Advanced
Analytics
Intelligent
Processes
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SAP Data Intelligence on sap.com(blogs, podcasts, demos, articles, etc.)
Try the interactive demo
Explore the Interactive use case discovery tool
See The Total Economic Impact of Machine
Learning at SAP
SAP Data Intelligence: Next Steps
SAP Services
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SpectogramsSound SAP AI
(Deep Learning)
Inference
Normal
Defect
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Predictive quality in manufacturing plantThe business objective: improving Quality Management process
Big and Diverse
Data
Applied
Intelligence
Reimagined
Business Processes
Smart Quality App
IR images of
components
Material
Master
Pressure sensor
measures
ML-based extraction
of image features
Predictive Analytics
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Enterprise Data Center
Manufacturing plant
Predictive quality in manufacturing plantThe prototype without Data Intelligence: could not go beyond experimental stage
Raw Material Molding Press
IR
Camera
Pressure
Sensor ERP Data
Smart
Quality App
Offline Image
Processing
Event
Streaming
Cloud Data Lake
Not ready for
production
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Enterprise Data Center
Manufacturing plant
Predictive quality in manufacturing plantThe project with Data Intelligence: Data Science streamlined across the landscape!
Raw Material Molding Press
IR
Camera
Pressure
Sensor
Image
Processing
Event
Streaming
Cloud Data Lake
Correlate
Data
PAL engine
ERP Data
Smart
Quality App
Data Intelligence
pipelines
Production
ready!
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Renewables simulation centreThe business objective: help municipalities improve their renewable production
Big and Diverse
Data
Applied
Intelligence
Reimagined
Business Processes
Smart infrastructure
development
Energy production (eMeter / Kafka)
Grid load data(Scada / OsiSoft)
ML-based clustering
algorithms
Predictive Analytics
Assets and capacity (ERP and non-SAP CRM)
Customer energy
consumption(SAP IS-U and CRM)
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Renewables simulation centreThe implementation: municipalities get end-to-end view on possible development!
Data Intelligence
pipelines
Renewables
Simulation
Centre Smart
Infrastructure
Development
Calculate Energy
Production
Grid Load Data
Energy
Consumption
Calculate capacity
per municipality
Energy prod.
Asset Data
Energy
Consumption
Grid Load
Predictions
Asset Data
CRM
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SAP Data Intelligence – A rapidly growing customer base
BTS Story - SAP Innovation Award 2020
Article - Video
BTS Story - SAP Innovation Award 2020 BTS Story - SAP Innovation Award 2020
Video
BTS Story – Article on sap.com
Video
BTS Story - SAP Innovation Award 2020
Video
BTS Story - SAP Innovation Award 2020
Video
SAP Innovation Award 2020
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How we operate – SAP Services Portfolio
SAP
Services
Implementation
ServicesAccelerate the implementation,
migration, and adoption of SAP
solutions with a combination of unique
expertise and best practices.
SAP Led
Innovation and Advisory
ServicesGet the guidance you need to take the
best path toward digital
transformation, cloud adoption, and
sustainable innovation.
SAP Led
Premium Engagements
Support your implementation with
packaged services and support to co-
innovate with SAP and create ground-
breaking business models.
Customer / Partner Led
Education
Acquire the right skills to decide on,
design and deliver the best solutions for
your requirements
SAP Delivered
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ImplementationDiscovery
Analytics High Level Service Portfolio - Examples
STRATEGIC ADVISORY for Analytics
Can you help me to:
• focus my vision and define my
strategy?
• Design my Analytics architecture
and implementation roadmap?
• Respond to business intelligence,
IoT, Data Management, Data
Science needs?
4 weeks(*)
BW/4HANA
Discovery Workshop
• What are the Business Benefits
of BW/4 HANA?
• Am I ready to migrate?
• What is the migration path?
2 weeks(*)
BW/4HANA Fast Conversion
Benefits:
• Quick win on a Fixed Scope Implementation
• Experience the value of BW/4 HANA with a fast implementation
• Can be extended through Advisory to Partners (rollouts)
10 weeks(*)
SAP HANA Datawarehouse Migration
Benefits:
• Quick win on a Fixed Scope Implementation
• Experience the value of sap HANA with a fast implementation
• Suitable to migrate a datawarehouse based on any relational database
8 weeks(*)
SAC Envision &
Prototype
Benefits:
• Absorb Methodologies & Best Practices
• Prototype, Design & Build a quick scenario
3 weeks(*)
(*) Estimates do not constitute a binding offer for SAP and will be confirmed / modified after an appropriate assessment phase
Advisory service for
SAP Data Intelligence
Benefits:
• Identify a value added use case
• Absorb Methodologies & Best Practices
• Prototype, Design & Build a quick scenario
14 weeks(*)
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Awareness
Data
Strategy
Definition
Data
Architecture
& Roadmap
The Journey to the Data Strategy
Program
Setup &
Launch
Monitor &
Communicate
✓
Objectives
Needs
Benefits
Technology
Organization
Outcomes:
• Goals and priority
• Use cases
• Capabilities required
• Architecture proposal
• Roadmap
Identify & scope
business outcomes
aligned with strategic
priorities
Processes
involved
Data landscape (data,
people, processes,
technology) required to
achieve objectives,
needs
45PUBLIC© 2021 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Advisory service for
SAP Data Intelligence
Benefits:
• Identify a value added use case
• Absorb Methodologies & Best Practices
• Prototype, Design & Build a quick scenario
14 weeks(*)
ImplementationDiscovery
Analytics High Level Service Portfolio - Examples
STRATEGIC ADVISORY for Analytics
Can you help me to:
• focus my vision and define my
strategy?
• Design my Analytics architecture
and implementation roadmap?
• Respond to business intelligence,
IoT, Data Management, Data
Science needs?
3-4 weeks(*)
BW/4HANA
Discovery Workshop
• What are the Business Benefits
of BW/4 HANA?
• Am I ready to migrate?
• What is the migration path?
2 weeks(*)
BW/4HANA Fast Conversion
Benefits:
• Quick win on a Fixed Scope Implementation
• Experience the value of BW/4 HANA with a fast implementation
• Can be extended through Advisory to Partners (rollouts)
10 weeks(*)
SAP HANA Datawarehouse Migration
Benefits:
• Quick win on a Fixed Scope Implementation
• Experience the value of sap HANA with a fast implementation
• Suitable to migrate a datawarehouse based on any relational database
8 weeks(*)
SAC Envision &
Prototype
Benefits:
• Absorb Methodologies & Best Practices
• Prototype, Design & Build a quick scenario
3 weeks(*)
(*) Estimates do not constitute a binding offer for SAP and will be confirmed / modified after an appropriate assessment phase
46PUBLIC© 2021 SAP SE or an SAP affiliate company. All rights reserved. ǀ
• Adopt solutions that allow you to concentrate on the value
added, simplifying integration and data preparation:
invert 80 prepare – 20 analyse ratio
• Data Science ad AI must also be managed.
• A sound Data Management Strategy is key to achieving this
goal, complemented by a robust Data Management Platform.
Key Take-Aways
SAP Services Design DeliverDiscover
SAP Analytics
CloudSAP BW/4
SAP Data
IntelligenceSAP HANA
(& Cloud)
https://webinars.sap.com/it/sap-dbs-italy-for-intelligent-enterprise/it/home
Thank you.
https://webinars.sap.com/mea/sap-services-emea-south-intelligent-enterprise/en/home