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SAP BI & SAP HANA

@ University of Ludwigshafen

Prof. Dr. Klaus Freyburger

In the Center of Europe

Ludwigshafen / Rhine

Metropolitan Region Rhine-Neckar

• Prof. Dr. Klaus Freyburger

• 1982 - 1989 studying mathematics and business administration at the University of Mannheim and University of Massachusetts at Amherst

• 1991 PhD in mathematics

• 1991 - 2002 working at SAP SE in WalldorfMain activities: Development of software for business planning

• since 2002 professor of Business Information Technology at the University of Ludwigshafen

• Teaching and research:

– Programming

– Business Intelligence / Big Data / Analytics

personal

28.11.2017

• 4.200 students

• 72 full professors

• 140 part time lecturers

• Wide selection of courses with business administration and social

work

• Bachelor Business Information Technology

• Master Business Information Technology (Information

Management & Consulting)

• Dual Studies Bachelor International Business Administration and

Information Technology (IBAIT)

• Application and practice-oriented, innovative and internationally

Some figures…

28.11.2017

Institut für

Wirtschaftsinformatik (1)

Prof. Dr. Klaus Freyburger– Business Intelligence / Big Data / Analytics insbesondere

(aber nicht ausschließlich) unter Verwendung von SAP

HANA (Institutsleitung)

– klaus.freyburger@hs-lu.de

Prof. Dr. Carsten Dorrhauer– IT Service Management, Software Engineering,

IT Security (stellv. Institutsleitung)

– carsten.dorrhauer@hs-lu.de

Prof. Dr. Peer Küppers– Data Science und Business Analytics

– Big Data Architekturen (insbesondere Open Source)

– Predictive Applications

– peer.kueppers@hs-lu.de

Prof. Dr. Haio Röckle– Information Security Management, E-Commerce,

Software Engineering

– haio.roeckle@hs-lu.de

Prof. Dr. Frank Thomé– Internet of Things / Smart Services, Mobile Computing,

Business Process Integration

– frank.thome@hs-lu.de

Prof. Dr. Martin Selchert– Digital Business / E-Business Consulting

– martin.selchert@hs-lu.de

Institut für

Wirtschaftsinformatik (2)

• Beginning 1994 R/2 as one of the first universities

• First, own R/3 System

• HCC Passau

• UCC Magdeburg

• Products used:

• ERP

• SCM

• SAP BW on HANA

SAP in classroom teaching…

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Students as student workers at SAP

Thesiswork (Bachelor/Master)

At SAP or SAP customers

Many graduates at SAP and SAP customers

Former SAP employees as faculty

… and beyond

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In general universities should be independent of software

companies

However the demand on graduates with knowledge in

architecture and application in leading software technology

cannot be ignored as part of an education which meets

practical standards

Ivory tower or product specialist?

28.11.2017

Number of pages

State of BI in Academia

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Wixom, B. H., T. Ariyachandra, and J. Mooney (2013). State of Business Intelligence in Academia, BI Congress 3, URL: http://www2.commerce.virginia.edu/bic3/communications.asp, page 11, abgerufen am 09.05.2014

The demand for BI students has surpassed the supply

The foundational skills are still the most critical for new BI technology

Employers were not satisfied with the graduates‘ practical skills

Students should have experiences with real data, real tools, reporting, and dashboard

Business Intelligence in Classroom:

Challenges

Curriculum SAP BW on

HANA

Curriculum for BI Usage

versus

Curriculum building BI

New technologies in memory and big data

versus

traditional BI content

Demand for product specialists

versus

academic training in theoretical concepts

Existing SAP BW curriculum

versus

new developments of SAP

Hosted systemenvironment

versus

cloud

versus

local administration

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„Bread and butter business“:

Every student builds end to end

case in SAP BW system

SAP BW on HANA Curriculum

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Data Source / PSA

Advanced Data Store Object

Composite Provider

Design Studio

Datawarehouse: More than RDBMS?

Source: http://tfxz.wordpress.com/2012/06/17/why-bw-and-hana-are-such-a-good-combination/

Two Approaches to realize the ‘X‘ in DB+X

Database

Modeling OLAP ETL

Data

Quality...

Scheduling

Monitoring

A: DW as a application on top of the DB with integrated tools

B: SQL Based Approach with a set ofloosely coupled tools (e.g. best ofbreed)

Database

Modeling OLAP ETL

Data

Quality...

Scheduling

Monitoring

SAP BW on HANA: Architecture

SAP BW

SAP Business Warehouse

– Is a DW application on top of a RDMS

– In the market since 1997

– Originally a “DWH for SAP R/3“ now a featurecomplete EDW platform

– Today > 15000 customers (4000+ on HANA)

3 Editions

– SAP BW on AnyDB More or less legacy

– SAP BW on HANA

– BW4/HANA The choice for new installations

– (see details on next slide)

Any RDBMS

Modeling OLAP ETL

Data

Quality...

Scheduling

MonitoringSAP BW

SAP HANA

Modeling OLAP ETL

Data

Quality...

Scheduling

MonitoringSAP BW

BW on AnyDB vs. BW on HANA

https://open.sap.com/files/4e640b8b-1188-4bbc-a519-f2e6d250c928

BW on HANA vs. BW4/HANA

BW on HANA

• New objects have been developed in BW on HANA to leverage the HANA platform

• New objects replace old objects like InfoCubes developed for BW on AnyDB

• New objects are recommended, but old objects still functionable (compatibility)

– Upgrade path for existing installations to BW on HANA

– Customers can then subsequently optimize their models and architecture for HANA in own

speed

BW4/HANA

• Can be (simplified) seen as BW on HANA but without old objects

• Clean new system, streamlined for HANA only

• Perfect for new installations

• Will be the future

• Our curriculum: Is BW4/HANA ready, as we only use new objects!

Problem– Several BI clients of the manufacturer with frequent changes, unclear product strategy,

partly high administrative overhead (additional servers, user management)

Solution– Focus on use cases OLAP Analysis and Dashboards

– Use tool that connect to SAP BW directly (without additional layer)

– Query as universal point of eaccess to BW data

SAP BO Analysis for Office– Excel Addin

– Ad Hoc Analysis, OLAP

SAP BO Design Studio– Design of Dashboards

– Web (HTML5)

– Mobile

Possible Extension: SAP Lumira– Self Service BI

– Visualisation

Information Access Layer

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Integration of external (Big) Data

Idea: ODS view and Composite Providers combine real data of the

platform Strava (tracks) with sales data.

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Open ODS View

Composite Provider

Link to GBI

Case Study: Modeling using HCP

Trial (in future: HANA express)

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Innovation Project: Sentiment Analysis

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Dashboards: geographical

distribution

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Dashboards: devices

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Big data driven insight and respond to real-time changing traffic conditions

Used real data of induction loops of City of Darmstadt

SAP HANA as technology

Classical algorithms for optimization (Dijkstra for shortest path)

Smart Traffic

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Extrahieren von Einbruchsdaten

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Visualisierung in Tableau

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Talend Open Studio for Big Data (kostenlos)

Exasol Free Edition

Tableau (Vollversion über Academic Program)

Verwendete Technologie

28.11.2017

Worspace of Tommorow with IoT

Raspberry Pi

openHAB

HomeMaticBinding

Actors

HomematicLAN Adapter

Sensors

Raspi GPIO

mySQL

Exec Binding

Rules, Items, Sitemaps

Sensor Data

SAP HANARules Data

Lumira

„Analytics“

Questions?

28.11.2017

Thank You!

Prof. Dr. Klaus Freyburger

Professor für Wirtschaftsinformatik

Tel.: 0621-5203-219

Email: klaus.freyburger@hs-lu.de

Institut für Wirtschaftsinformatik

an der Hochschule Ludwigshafen

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