Eric Ledu,

The Createch Group,

a BELL company

Analytics maturity

Raw

Data

Cleaned

Data

Standard

Reports

Ad Hoc

Reports

& OLAP

Agile

Visualization

Predictive

Modeling

Optimization

What happened?

What is happening?

What will happen?

Inte

llig

en

ce

Maturity of Analytics Capabilities

Self Service BI

What is

the best that

could happen?

Past Present Future

Reporting on the Past SAP BW and SAP BI

Reporting on the Present

Reporting on the Future

Digital Ecosystem

Big

Data

Mobile

IOT

Cloud

Agile

Visualization

Advanced

Analytics

Enterprise

Business Intelligence

SAP BW Mixed scenarios

• SAP BW for SAP data sources

• HANA for Other Data

• SAP BW for Consolidated reporting

• SAP HANA for real-time reporting

BW and HANA modeling side-by-side

The Composite Infoprovider can

combine data from any source within

the BW/HANA system:

- BW Infoobject,

-Table,

- real-time data from Smart Data

Access

SAP BusinessObjects BI4.2 Top 5

SAP HANA

Online

Direct

Access to

SAP HANA

Views

Recycle Bin Parallel Data

Provider

Refresh

Commenting

Data Discovery &

Analysis

Dashboards &

Applications

Lumira Explorer

Design Studio Dashboards BEx Web Analysis for OLAP

Lumira

Design Studio

Reporting Web Intelligence Crystal Reports Desktop Intelligence

Web Intelligence Crystal Reports

Analysis Office EPM Add-in Live Office BEx Analyzer

Office Integration

Analysis Office

Com

mon p

latform

serv

ices

Inte

ropera

bili

ty

SelfS

erv

ice E

nable

d

Simplify the landscape…

Reporting on the Past

Reporting on the Present

Internet Of Things

S/4HANA Analytics

Reporting on the Future

SAP HANA is a new modern platform that helps transform companies seeking agility and simplicity

Process

any data Geospatial Data Text Data Structured Data Social Network Machine Data RFID

Connect to

anything

SAP HANA Platform

SAP HANA Platform – Integration Services Data from any source for a complete view of the business

SAP HANA Platform

Integration Services

Database Services

IBM DB2, Oracle, MS

SQL Server, Twitter,

OData, Custom

Adapters

IBM DB2,, Oracle, MS

SQL Server, Teradata,

SAP HANA, SAP ASE,

SAP IQ

Application Services

Loading Federation

Smart Data

Access

Smart Data

Integration Hadoop

Integration

Smart Data

Streaming (CEP)

Streaming

Remote Data

Sync

Synchronize

Demo

SAP HANA Live architecture Foundation for new class of applications

Purchasing Manager

Atomic data

set for detailed

drill-down

information

Pre-defined models

across entire suite

Operational data

available

instantaneously

SAP ECC Applications

SAP HANA PLATFORM

Database Layer Physical Tables

HANA Views

Operational

Reporting Zero latency!

SAP HANA Live architecture The “HANA Sidecar”

SAP HANA PLATFORM

Database Layer

Physical Tables

HANA Views

Traditional RDBMS

Database Layer

SAP ECC Applications

Physical Tables Replication*

Analytic

Applications

Query

Tools

* real-time replication, e.g. using SAP Landscape Transformation Replication Server (SLT) technology

SAP Business Suite real-time analytics with SAP HANA Live

Atomic Pre-defined Instantaneous

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

SAP S/4HANA real time analytics architecture with CDS Views

Atomic Pre-defined Instantaneous

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

Core Data (CDS) Views

• Core Data Services are SAP’s strategic modeling approach for Business

Entities

• SAP HANA Views get created from scripted ABAP code

• High flexibility for further multiple use cases (e.g. Search, …)

• Scripted (SQL + extensions)

• Fully integrated with ABAP: Lifecycle, Authorization Management,…

More information

Analysis for Office (on premise only, separate license)

SAP Lumira (on premise only, separate license)

SAP Design Studio (on premise only, separate license)

S/4HANA Analytics: Multidimensional Reporting Client

S/4HANA Analytics: Query Browser

S/4HANA Analytics: Smart Business Cockpit

KPI Catalogue for S/4HANA

Demo

Reporting on the Past

Reporting on the present

Reporting on the future

Big Data

Predictive Analytics

CPG : tweets feeds Utilities : meter

readings Retail : customer

transactions

Fraud Management Sensor Alert Management

• IOT • Multimedia (video,

…) • Internet

Big Data: the 3 V

The children of Google

What is Hadoop?

At Google, operations are run on a special file system called Google File System (GFS) that

is highly optimized for this purpose.

Doug Cutting and Yahoo! reverse engineered the GFS and called it Hadoop Distributed File

System (HDFS).

The software framework that supports HDFS, MapReduce and other related entities is called

the project Hadoop or simply Hadoop.

This is open source and distributed by Apache.

HADOOP: the secret behind Big Data

Hadoop and Hana are complementary

HANA is for the “known-knowns”

Fully managed reporting source

Used to deliver known facts effectively to a wide

range of users

Hadoop is for the “unknown-unknowns”

Investigation for deeper insight

Use analytical tools to discover

Cheap, runs on commodity hardware

Predictive Analysis : why ?

resigned High risk

Business cases of predictive analysis

:-) Brand Sentiment

360O Customer View

Product Recommendation

Propensity to

Churn

Real-time Demand/

Supply Forecast

Predictive Maintenance

Fraud Prevention

Network Optimization

Insider Threats

Real-time

Risk Mitigation

Asset Tracking Personalized

Care

HANA and Hadoop working together thanks to SAP VORA

Four steps to predictive realization

Explore and prepare your

data

Design and validate your

model

Deploy processes and

actions

Analyze and optimize

the results

1 2

3 4

ONE SAP

solution

36

37

SAP Predictive Analytics 2.x

Low learning curve for novice

users

Intuitive user interface with code-

free experience

Modeling automation for fast

results

Algorithms and model types are

fine-tuned automatically

Creation of rich visualizations,

analytic stories, and publishing

Business User

ONE SOLUTION, MULTIPLE MODES

Expert User

Similar learning curve for expert

users

User interface that supports rapid

model fine-tuning

Smart variable selection and

simulation capabilities

Algorithms are configurable with

ability to use custom R

Use of statistical reports to confirm

reliability of model

Big Data in action

We have seen a lot of things today

The SAP applications for Business Intelligence are still there, and part of the roadmap: SAP

BI 4.2, SAP BW 7.5

We can now easily add a lot of information to the ERP and CRM data, thanks to Big Data and

IOT technologies, and get some new intelligence and understanding

The new S/4HANA application already leverages real-time reporting from SAP HANA to

improve greatly the standard ERP reports

All the new information, together with the ERP, CRM, SCM data, help built predictive models

that will allow you to better plan and forecast your business