an ocean of corporate data: diving in to discover hidden

PUBLIC

12th January 2021

An ocean of corporate data: divingin to discover hidden worlds. Data Science & Data Management

2PUBLIC© 2021 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Today's Speakers

Andrea Pagliari

Head of Business Development

SAP Services EMEA South

Fabio Fontana

Business Enterprise Architect

SAP Services EMEA South


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


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


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


Analytics Cloud

March 23rd

Discover SAP Learning Hub

February 23th


• 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


Look Closely…

Which animal has this eye? What type of rock is this?

Marble LimestoneBoar Bison Walrus


What Animal Does This Eye Belong To?


What Type of Rock is this?


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


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


What is Data Science?


What is Data Science?

Statistics

Data Analysis

Machine

Learning

Find Patterns

Enhance Data

Predict Events

Make Decisions

Predict Trends


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


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


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

https://hbr.org/2020/02/small-data-can-play-a-big-role-in-ai

https://tdwi.org/articles/2020/12/16/data-all-small-data-big-in-2021-and-other-tipping-points.aspx

https://tdwi.org/articles/2020/12/17/biz-all-three-digital-business-strategies-game-changers-in-2021.aspx

https://biomedeng.jmir.org/2020/1/e24388

Putting ideas into practice…


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


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


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


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


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


Introducing SAP Data Intelligence:

Enterprise AI meets Intelligent Information Management


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


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


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


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


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


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.


Classic BI Architecture

Enterprise Data

WarehouseERP

Other

Sources

SAP BW

SAP BPC

Excel

Analytics Front End


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


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


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

https://www.sap.com/dataintelligence

https://www.sap.com/cmp/td/sap-data-intelligence-demo.html?infl=c59e7386-8dfc-4ad0-a44d-45c39327afc9

https://www.sap.com/dmc/exp/2019-09-65036/index.html

https://www.sap.com/documents/2019/12/02565150-797d-0010-87a3-c30de2ffd8ff.html?infl=c59e7386-8dfc-4ad0-a44d-45c39327afc9

SAP Services


SpectogramsSound SAP AI

(Deep Learning)

Inference

Normal

Defect


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


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


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!


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)


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


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


Video


Video

SAP Innovation Award 2020

https://www.sap.com/documents/2020/05/727a386d-957d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/idea-place/sap-innovation-awards/submission-details-2020.html?idea_id=1133

https://www.asug.com/insights/kaiserwetter-looks-ahead-with-sap-artificial-intelligence-to-support-investors-in-renewable-energy

https://gateway.on24.com/wcc/eh/2500900/

https://www.sap.com/documents/2020/01/821af5b5-807d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/bin/sapdxc/inm/attachment.5297/pitch-deck.pdf

https://www.sap.com/documents/2020/07/6e32ad37-a27d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/bin/sapdxc/inm/attachment.7887/pitch-deck.pdf

https://www.sap.com/assetdetail/2020/02/840788f2-857d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/documents/2020/03/66bf6ef3-8b7d-0010-87a3-c30de2ffd8ff.html

https://news.sap.com/2018/10/new-release-sap-data-hub-accelerates-trusted-data-discovery-orchestration-delivery/

https://www.sap.com/assetdetail/2019/03/b6a4571b-417d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/documents/2019/12/5a7445d8-777d-0010-87a3-c30de2ffd8ff.html?infl=3c336323-a60f-46d3-ac73-599cff18e31f

https://www.sap.com/idea-place/sap-innovation-awards/submission-details.html?idea_id=604&infl=3c336323-a60f-46d3-ac73-599cff18e31f

https://www.sap.com/assetdetail/2019/12/fed421c0-777d-0010-87a3-c30de2ffd8ff.html?infl=3c336323-a60f-46d3-ac73-599cff18e31f

https://www.sap.com/documents/2019/10/22891d98-6c7d-0010-87a3-c30de2ffd8ff.html


https://www.sap.com/assetdetail/2019/10/ba322491-6c7d-0010-87a3-c30de2ffd8ff.html



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


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:


• 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


Benefits:

• Identify a value added use case



14 weeks(*)


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


Advisory service for


Benefits:

• Identify a value added use case



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:


• 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:


• 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:



3 weeks(*)

(*) Estimates do not constitute a binding offer for SAP and will be confirmed / modified after an appropriate assessment phase


• 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

https://webinars.sap.com/it/sap-dbs-italy-for-intelligent-enterprise/it/home

mailto:[email protected]

https://webinars.sap.com/mea/sap-services-emea-south-intelligent-enterprise/en/home

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