jürgen thielemans, sap enterprise architect sap belgium...

Providing real-time, built-in analytics with S/4HANA

Jürgen Thielemans, SAP Enterprise ArchitectSAP Belgium&Luxembourg

SAP HANA Analytics Vision

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 3

Situation today: OLTP and OLAP separated, one-way streets only

“Sem

antic

Wal

l”

No write-back

No real-time reporting

Relational table design

OLTP- System of Records: “Information in” only

Data replication:■ Usually not real-time, long-running ETL-Jobs (Extraction-

Transfer-Load)■ Redundant data storage

OLAP - System of Engagement: “Information out” only

OLAP


Combining transactions and analytics on a single in-memory platform

• Instant Insight to Action on Live Data• One Copy of the Data• No ETL and Batch Processing

• Decisions and Actions on Old Data• Multiple Copies of the Data • ETL and Batch Processing Efforts and Costs

Virtual Data Modelling


Types of Analytics – Data Warehouse / Data Marts

Types of reporting access scenarios – Data Marts / Data Warehouse

• High variety of information sources• Extensive information needs Different kinds of Data Marts for various Use Cases

OperationalData Mart

Visibility

Direct / Database Replication

Data Marts (Audit / SOX)

Federated Queries / ETL

AgileData Marts

Ad-Hoc | Self-Service BI

ETL / ELT/ Replication

Data Warehouse/

EDW

Consolidated view

ETL / ELT / Replication

Transactional | System of Record

Transactional | Analytical | Systems of Record & Engagement

Real TimeData Mart

Real Time

Streams / Feeds

Event | Machine

ETL / ELT/ ReplicationFederation of Data & Query

All sources

PredictiveData Marts

UnstructuredData Marts

Sentiment Analysis

Archived Information Social

Architecture

Information needs

Source of information

Access method to source data

Predictive Analysis

Archive Analysis


SAP HANA Information ViewsVirtual Data Modeling approach as a key SAP HANA concept

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https://de.wikipedia.org/wiki/Datei:Spotify_logo13.png


Types of Analytics – Data Warehouse / Data Marts

Specific Operational Data Marts: Virtual Data Models

OperationalData Mart

Visibility

Direct / Database Replication

Transactional | System of Record

Transactional system

Database Layer, e.g. SAP HANA Physical Tables

Virtual Data Model

View View View

View View

View

UI’s BI Application


SAP Business Suite real-time analytics architecture (SAP HANA Live)

Atomic Pre-definedInstantaneous

HANA Database Layer Virtual Data Model on Physical Tables

Analytical Apps and BI Clients

e.g. SAP BusinessObjects BI

SAP Business Suite Application

Hybrid Transactional and Analytical Applications

e.g. SAP Smart Business cockpits

• No latency• No data duplication• Ready-to-use content• Integration scenarios with SAP BW

https://www.google.com/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&uact=8&ved=0CAcQjRw&url=https://blogs.saphana.com/2013/11/21/sap-smart-business-cockpits-a-battlefield-for-positive-outcomes/&ei=srAVVYqYPIOJ8QX864HwAg&bvm=bv.89381419,d.dGc&psig=AFQjCNFUO7cRTH__QnJtLn-uLZEFLJR47w&ust=1427571237214681


A new concept for S/4HANA


Today transactions and analytics are handled separately but in reality, business processes are often a sequence of…

Enter Order Check Customer Churn Probability

Adjust discount percentage

transaction analysis transaction

Analyze yield and scrap of plants

Send email to all plant managers above/below

certain thresholds

Create new employee salary data

Check updated salary projection for cost

centers


Purchase Request: 4711

Material :

Supplier :

Default Discount :

… :

… :

Supplier Overview for Material

515

Embedded multidimensional report shows suppliers for the entered Material No. and their Delivery Performance + trading volume

1 Navigate to a full screen version of the report and perform multidimensional analysis , personalize report and share data.

3

Built-in Analytics – Imagine, one day we will have…Bi-directionally embedded Analytics in a transaction screen

Supplier Delivery Performance

Trading Volume Last Year

100 98% 550 K€

101 95% 1.230 K€

102 94% 270 K€

101

A supplier is selected in the report, and its ID and other relevant data is transferred to the corresponding fields in the Activity.

2

PersonalizeCurrent month

515


Continue with…

Supplier Delivery Performance

Trading Volume Last Year

100 98% 550 K€

101 95% 1.230 K€

102 94% 270 K€

Supplier Overview for Material 515PersonalizeCurrent month

More concepts?

Integration into SAP Smart Business

Visualize using SAP BISearch/Fact Sheets


The new Built-in Analytics Vision

Extraction to SAP BW*

Generic SAP BI clients and Analytical Apps

e.g. SAP BusinessObjects Analysis for Office, SAP BusinessObjects Design Studio, Smart Business cockpits

Built-In Analytics: Hybrid Transactional and Analytical Applications

e.g. SAP Embedded BI or SAP Smart Business cockpits

Read-access for

Fact Sheets

Search

*This way SAP enables existing BW extractors to also support Simple Finance and other Innovations in SAP S/4HANA

HANA Platform

Application Tables External Sources / IOT

Virtual Data Model

Virtual Data Modelfor Search, operational and analytical processing

CustomerExtensions

Specific Analytics Models Customer Extensions

SAP HANA Platform

Virtual Data Model

Enabler for…


SAP S/4HANA real time analytics architecture

Atomic Pre-definedInstantaneous

HANA Database Layer SQL-Runtime-Views on Physical Tables

ABAP Layer Virtual Data Model, based on Core Data Services (CDS)

Analytical Apps and BI Clients

e.g. SAP BusinessObjects BI

SAP S/4HANA Application

Hybrid Transactional and Analytical Applications

e.g. SAP Smart Business cockpits

• Full ABAP Lifecycle Integration• Supporting ERP authorizations• Supporting ERP hierarchies• Part of the general Extensibility concept• Supporting more business cases

(analytics, search, fact sheets, planning,…)

• No latency• No data duplication• Ready-to-use content• Integration scenarios with SAP BW

Transient BEx Queries




Types of Analytics – Data Warehouse / Data Marts Virtual Data Models as part of transactional systems Example: SAP S/4HANA

SAP S/4 HANA

Database Layer, e.g. SAP HANA Physical Tables

Virtual Data Model(based on open CDS)

View View View

View View

View

UI’s BI Smart Business

Finance

Business Transactions

Logistics

Etc.

Transactional Fiori

To Datawarehouse or not to Datawarehouse?


SAP S/4HANA Analytics + SAP Business WarehouseComprehensive operational + historical analytics and planning powered by SAP HANA

All analytics requirements fulfilled with one unified solutionData Integration Scenarios are possible in multiple hybrid system setups

Strategic and tactical Integration, harmonization, cross-

system consistency Consumption Planning Multi-sourced data

Preconfigured content Data lifecycle Data governance Full-blown analytical suite

Operational data Real-time Lightweight modeling and

consumption Extensible

Uniform Basis for multiple

embedded use cases Model reuse in analytical

applications

SAP Business Warehouse on SAP HANA

SAP S/4HANA Analytics

Multi-channel Unified User Experience

SAP S/4HANA(incl. Virtual Data Model)

SAP NetWeaver

New

SAP

App

s

Part

ner

Apps

SAP HANA PLATFORM

SAP

Net

Wea

ver

BW

Database Services (include SAP HANA Views)

Synchronizations Services

Application Services

Summary


SAP Business Suite 4 SAP HANA provides enhanced analytical capabilitiesdue to the architecture based on SAP HANA – the value proposition getsenhanced by the unique possibilities given with the new architecture, including reimagined simplified business processes, user experience and business decisions

The new concept of one semantic layer for search, operational and analytical processing using open CDS views optimized for SAP HANA technology and infrastructure, allows real-time operational reporting and will be rolled out in all deployments of S/4HANA, cloud and on premise

S/4HANA Analytics complements and does not replace SAP Business Warehouse (powered by SAP HANA)

With SAP Smart Business our latest generation of decision supporting applications powered by S/4HANA and SAP Fiori combining new working models with a consumer-grade, multi-channel user experience.

Key Takeaways

Thank youContact information:

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jürgen thielemans, sap enterprise architect sap belgium...

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