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1PUBLIC© 2020 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Enable the Intelligent Enterprise with SAP Services
Enable the Intelligent Enterprise with SAP Servicesthe webinar will start at 14:30
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Enable the Intelligent Enterprise with SAP Services
L'oceano dei dati aziendali, immergersi per scoprire i mondi sommersi: DataScience e Data Management
September 22, 2020
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Today's Speakers
Chiara De Maria SAP Services
Business
Development Consultant
Fabio Fontana SAP Services
Principal Business Enterprise
Architect
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Let's Build the Intelligent Enterprise Together!
Gennaio
Customer
Experience
Febbraio
S/4
Marzo
Manufacturing &
Supply Chain
Aprile
Dati
Maggio Giugno Luglio Settembre Ottobre Novembre Dicembre
Intelligent
Technologies
Appl. Devl. &
integration
Customer
Experience
Manufacturing &
Supply Chain
S/4 Dati Appl. Devl. &
integration
Settembre: il mese dei dati
Il valore dei dati
nell'Intelligent Enterprise
8 settembre
Come costruire un Enteprise Data
Warehouse: il punto di vista SAP
Digital Business Service
15 settembre
SAC e BI 4.3:
un'unione vincente
17 settembre
L'oceano dei dati aziendali, immergersi
per scoprire i mondi sommersi: Data
Science e Data Management
22 settembre
Il valore dell'innovazione
portato da BW/4 2.0
24 settembre
Ottobre: il mese della Customer Experience
NEW BRIM
Nuovi modelli di business abilitati
da SAP BRIM: verso la
“subscription economy”
22 ottobre
Il commerce evoluto: benvenuti
nell’economia dell’esperienza e
dell’omnicanalità
15 ottobre
Experience Management: come
approcciare in maniera efficiente un
percorso di trasformazione
1 ottobre
Innovate and accelerate time to value
with a subscription based SAP
Commerce Cloud implementation
8 ottobre
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Il Gruppo Jam dedicato ai clienti di SAP Services Italia
Il sito SAP Jam dedicato ai clienti italiani di SAP Services
è il punto di partenza per
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INTELLIGENT ENTERPRISE INNOVATION DAY
#VIRTUAL_EVENT
SUPPLY CHAIN, MANUFACTURING & MAINTENANCE
INNOVATION DAY#VIRTUAL_EVENT
CUSTOMER EXPERIENCE
INNOVATION DAY
71 participants
67 participants
VIRTUAL DATAINNOVATION TOUR
#VIRTUAL_EVENT
51 participants
INTELLIGENTSPEND MANAGEMENT
INNOVATION WORKSHOP
November 11th
“Together, we make it happen”
#VIRTUAL_EVENT
34 participants
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SAPNOW 2020 – sapnow.it
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The Intelligent Enterprise: Run at your Best
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• Data Science e Data Management
at Enterprise Level
• SAP Data Intelligence
• Use cases and SAP Services
Agenda
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10PUBLIC Salmon Image Source: Wikipedia - https://en.wikipedia.org/wiki/Salmon
How are you feeling
today ?
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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 Data
Trends
Make Decisions
Apply AI
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Human
DrivenAugmented
Auto Machine
Learning
Descriptive
Diagnostic
Predictive
Prescriptive
Adding Machine Learning and Artificial Intelligence …
… changes Analytics
from:To:
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Use Cases
Sales
Enablement
Demand
Generation
Customer
Support
Customer discovery &
insights
Marketing execution
Drive personalization
Drive conversion
Automated triage and
diagnostics using images
and document processing
Life-time value prediction
and churn analysis
Root cause analysis
Marketing apps
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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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What is the status of Data-Driven Innovation projects in the enterprise world?
Fail to make it to
production1
85% 50%Struggle with the
Complexity of AI2
74%Are limited by Data Complexity
and Sprawl3
1 https://www.gartner.com/doc/3834463/pitfalls-avoid-planning-data-science2 Powering the Intelligent Enterprise with AI –Forrester 20183 Data2020: State of Big Data Study –Regina Corso Consulting 2017
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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 Lifecycle
Maintain Lifecycle
Data Extraction
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Challenges of Enterprise Data Management
ImpactsFactors
Integration &
Interfaces
Data Silos
Data Volume,
Relevance & Struct.
Cloud / On Premise
Availability
Knowledge & Skills
Governance &
Compliance
Security & Privacy
Work Areas
Process Orchestration
Monitoring
Metadata Management
& Business Glossary
Analytics Platform &
Architecture
Data Management
Platform
Training
Your application is
not compliant!
I don’t trust the data, I’ll keep using
my Excel…
I cannot take decisions based on
this data!
And why does every new request
takes so long to
implement?!
I have no idea how to
work with
this tool…
Here is my python code!
This Python does not
comply to
company standards!
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Enterprise Data Management, Data Science & AI
Manage
the Data
Manage
the Delivery
and
Governance
Manage
the Development
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Intelligent Information Management
• Collaborative
Tools Deliver Trusted Data
• Modular Data
Pipelines• Architecture Across
Disparate Data Sources• Govern and Manage
Metadata
1 Data Ops 2 Data Catalog 3 Data Fabric 4 Data Orchestration
C O L L A B O R A T I O N O R C H E S T R A T I O N
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Different Ways of Managing Data for Analytics
Data Lake / Hybrid
Architecture
Data Streaming
Batch Loading
Virtualization
Batch LoadingEnterprise & Logical
Data Warehouse
Streaming
Analytics
Real-time
Reporting Embedded Analytics
• SAP HANA
SAP BW/4HANA
• SAP Datawarehouse
Cloud
• SAP Relational Data
Lake / SAP IQ
• SAP Analytics
Cloud
• SAP BI Platform
4.3
• Analysis for
Office
SAP Data
Intelligence
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24PUBLIC
Why a Data Management Platform?
SAP Data
Intelligence
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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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Data Pipelining
Model Lifecycle Management
Centralized Metadata Governance
SAP Data Intelligence –Enterprise AI meets Intelligent Information Management
Flexible pipelines spanning structured / unstructured /
streaming, batch / (near-)real-time, OLTP and OLAP,
across any cloud and on-prem deployment.
Metadata crawling, browsing and profiling; data lineage,
auditing and data anonymization / masking.
[…], on
Data discovery and preparation, notebooks,
deployment, (re)training, serving and monitoring.
Distributed and Heterogeneous Data Processing
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SAP Data Intelligence
SAP Applications Distributed & External
Data Systems
SAP Data Intelligence
SAP HANA
Integration
Cloud Data
Integration
ABAP
Integration
WorkflowsBW Process
Chains
Data Services
JobsHANA
Flowgraphs
SAP
NetWeaver + DMIS Addon
BW
Integration
SAC Push API
SAP BWSAP BW/4 HANA
SAP Analytics Cloud
SAP HANA®
(on-premise, cloud, multi cloud)
Standard
Connectors(open & native
protocols)
Cloud Storages
Hadoop / HDFS
Databases
3rd Party Applications
Streaming (e.g. IoT)
Public Clouds
SCI for process
integration
SAP Open
Connectors
SAP API
Business Hub
REST APIs
SAP Cloud
Platform
Connectors
3rd Party
Connectors
Data Pipelining & ProcessingData ingestion / Data Processing / Data Enrichment
Data Orchestration & MonitoringConnection Management / Workflows / Scheduling
Data GovernanceData Discovery / Data Profiling / Metadata Cataloging…
SAP C/4HANA
Intelligent ProcessingExploration / Model Design / ML Deployment
SAP S/4HANA® CLOUD
SAP S/4HANA®
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Data Science Workflow Aided by SAP Data Intelligence
Data from Multiple Sources
(Structured and/or
Unstructured)
Metadata, Exploration, Profiling and
Indexing
Data Integration, Wrangling
and Storage
Data Preprocessing
Model Training
Model Evaluation
Deployment
Onetime/Periodic Inference
(mostly on a structured dataset)
REST API
Realtime Inference
(within an app)
Further Analysis
(enriched data)
Iteration
REALIZE SCALE & DEPLOYMONITOR &
ADJUSTEVALUATEPREPARE
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Data Science Workflow Aided by SAP Data Intelligence
Data from Multiple Sources
Access any data source:
cloud, on premise, IoT, SAP,
or non-SAP. Automatically
index and crawl any available
data asset to find it with ease
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Data Science Workflow Aided by SAP Data Intelligence
Metadata, Exploration, Profiling and
Indexing
Enrich data assets with
metadata information so
that everyone in your
organization can find what
they need and minimize
duplication of data
wrangling tasks. Build the
Business Glossary
Data Integration, Wrangling
and Storage
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31PUBLIC
SAP Data IntelligenceA centralized Data Catalog for your enterprise data governance
• Data discovery, browsing and profiling
• Data quality rules and scorecards
• Data lineage
• Self-service Data Preparation
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Data Science Workflow Aided by SAP Data Intelligence
One single tool for
experimentation
and productization
of ML artifacts.
Data Preprocessing
Model Training
Model Evaluation
Iteration
Deployment
Onetime/Periodic Inference
REST API
Realtime Inference
Utilize a rich set of
operators to create,
automate and orchestrate
workflows.
BYOMImage Speech Text
Assisted ML
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SAP Data IntelligenceStreamline end-to-end lifecycle management of ML models
• Manage ML datasets
• Manage ML design and experimentation
with integrated Jupyter notebook
• Turn notebooks to pipelines, and
streamline deployment of ML prototypes
to production
• Monitor, measure and analyze ML
scenario runs
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Automate the creation of complex machine learning
pipelines with intuitive tools for configuring machine
learning artifacts.
Out of the box ML deployment.
Configurable Toolbox
Comprehensive workflow automation
Enable automation across machine learning
workflows, from data preparation to model
selection, validation, and deployment.
Scale model performance with node hours.
Preconfigured functionality
Deploy machine learning technology without
specialist data scient expertise using preconfigured
features. Smart way of deciding which tools to use.
SAP Data IntelligenceAuto ML environment
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SAP Data Intelligence: Data Pipelining & ProcessingABAP CDS Reader
Application Tables
ABAP CDS Layer
SAP S/4HANA 1909
SAP S/4HANA CE
DB triggersLogging
table
ABAP Pipeline
Engine
Initial Load &
Inserts, Updates, Deletes
ABAP CDS replication from SAP S/4HANA to file storage
SAP Data Intelligence
The ABAP CDS READER operator allows the replication of
SAP ABAP CDS Views and custom ABAP CDS views in
initial load and delta mode.
CDC engine
More than 250
operators:
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Data Science Workflow Aided by SAP Data Intelligence
Further
Analysis
SAP Datawarehouse
Cloud
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SAP ranked as a LEADERFrom both Forrester and Gartner
SAP was recognized as leader in the Translytical Data Platforms Wave by Forrester and as leader in the Operational
Database Management Systems by Gartner for its current offering, strategy and market presence.
The Forrester Wave™ is copyrighted by Forrester Research, Inc. Forrester and
Forrester Wave™ are trademarks of Forrester Research, Inc. The Forrester
Wave™ is a graphical representation of Forrester's call on a market and is plotted
using a detailed spreadsheet with exposed scores, weightings, and comments.
Forrester does not endorse any vendor, product, or service depicted in the
Forrester Wave. Information is based on best available resources. Opinions reflect
judgment at the time and are subject to change."
• Architecture
• Data management
• Data types
• Development tools
• Data modeling
• Transactions
• Analytical queries
• Advanced analytics
• Streaming
• Data Security
• Performance features
• Ability to execute
• Roadmap
• Implementation support
• Product revenue
• Install base
• Market awareness
• Partnerships
According to Forrester, “SAP crushes
translytical workloads”. SAP earned 5/5
scores for 18 criteria including:
Recognized as a Leader for the for
Operational Database Management
Systems
*The Gartner documents are available upon request from SAP. Gartner does not
endorse any vendor, product or service depicted in its research publications, and
does not advise technology users to select only those vendors with the highest ratings
or other designation. Gartner research publications consist of the opinions of
Gartner's research organization and should not be construed as statements of fact.
Gartner disclaims all warranties, expressed or implied, with respect to this research,
including any warranties of merchantability or fitness for a particular purpose .
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its
affiliates in the U.S. and internationally, and is used herein with permission. All rights
reserved.
• Gartner Magic Quadrant for Operational Database
Management Systems, November 2019
• Gartner Magic Quadrant for Data Integration Tools,
August 2019
• Gartner Magic Quadrant for Data Quality Tools,
October 2019
• Gratner Magic Quadrant for Data Management
solutions for Analytcis, January 2019
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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
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SAP Data Intelligence – A rapidly growing customer base
BTS Story - SAP InnovationAward 2020
Article - Video
BTS Story - SAP Innovation Award 2020 BTS Story - SAP InnovationAward 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
SAP Services
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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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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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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?
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(*)
SAP Data Intelligence
Proof-of-Concept
Benefits:
• Identify a value added use case
• Absorb Methodologies & Best Practices
• Prototype, Design & Build a quick scenario
2-3 weeks(*)
(*) Estimates do not constitute a binding offer for SAP and will be confirmed / modified after an appropriate assessment phase
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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?
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(*)
SAP Data Intelligence
Proof-of-Concept
Benefits:
• Identify a value added use case
• Absorb Methodologies & Best Practices
• Prototype, Design & Build a quick scenario
2-3 weeks(*)
(*) Estimates do not constitute a binding offer for SAP and will be confirmed / modified after an appropriate assessment phase
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Settembre: il mese dei dati
Il valore dei dati
nell'Intelligent Enterprise
8 settembre
SAC e BI 4.3: un'unione vincente
17 settembre
L'oceano dei dati aziendali, immergersi
per scoprire i mondi sommersi: Data
Science e Data Management
22 settembreIl valore dell'innovazione
portato da BW/4 2.0
24 settembre
Data Warehouse di
prossima generazione
15 settembre
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• Adopt solutions that allow you to concentrate on the value added
part (invert 80 prepare – 20 analyse ratio).
• A sound Data Management Strategy is key to achieving this
goal, complemented by a robust Data Management Platform.
• Data Science must also be managed.
• SAP has been investing heavily in the development and
innovation of Data Management solutions becoming a leader
in this sector.
Key Take-Aways
SAP Services Design DeliverDiscover
SAP Analytics
CloudSAP BW/4
SAP Data
IntelligenceSAP HANA
(& Cloud)
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