BI ACADEMY WORKHOP 2016

Prof. Dr.-Ing. Peter Lehmann

Stuttgart Media University

08.03.2016

www.bi-academy.eu

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Let’s go to Business Intelligence (BI)

I see no reason

why excellent

growth shouldn’t

continue …

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What are the Challenges in teaching BI?

◦ Wixom, B. H. and T. Ariyachandra (2013). State of Business Intelligence in Academia 2012, BI Congress III.

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What are the Challenges in teaching BI?

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How can your BI education be improved?

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BIA is a teaching platform: www.bi-academy.eu

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We want to change a few things…

◦ We provide realistic business scenarios….

◦ We provide actual data sets…

◦ We provide support for our case studies…

◦ We know, what is important in teaching BI…

◦ We are international, multi-lingual….

◦ We want students to learn andhave fun …

◦ We want to teach students, not subjects!

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Introducing Adventure-Bikes

Stuttgart

Berlin

Hambourg

Cologne

Zurich

Paris

Nice

Amsterdam

London

San Francisco

Denver

Miami

Chicago

Boston

Malaga

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Fr.

BIA Big Picture

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BIA Modules

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Module 1: Online Analytical Processing

◦ Learning Objectives

OLAP look-and-feel

Calculations, KPIs, Conditional Formating

Analysing a Star Schema

Adding external Data to the Schema

Using Data Analysis Expressions

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Module 2: Multi-Dimensional Modelling

◦ Learning Objectives

Multi-Dimensional FactModelling with DFM

Transforming to a StarSchema

Working with Data Cubes

Galaxy Schema (Multi-Facts)

Currency Conversion

THE DIMENSIONAL FACT MODEL:

A CONCEPTUAL MODEL FOR DATA WAREHOUSES1

MATTEO GOLFARELLI, DARIO MAIO and STEFANO RIZZI

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Module 3: Data Mining

◦ Learning Objectives

Understand the KnowledgeDiscovery Process (DM-CRISP)

Implementing a Sales Campaign

Using Decision Trees

Using Clustering

Using Naïve Bayes

Using Prediction

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Module 4: Data Warehouse Architecture

◦ Learning Objectives

Data Warehouse ArchitecturePrinciples (Staging, ODS, Data Marts)

ETL Processes

Transformation Rules

Slowly Changing Dimensions

Data Aggregation

Drill-Through

Self-Service BI Interfaces

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Module 5: Business Planning

◦ Learning Objectives

Integrated Planning versus Excel-Spreadsheet-Copy-Paste-or-VBA

Modelling Multi-Facts Schema

Understanding planning hierarchiesand planning models

Creating WriteBack Cubes

Using What-If Scenarios

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Certification Sandbox

Confirmation of

Acchievement

“BI Junior Architect”

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Demo

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Master of Data Science and Business Analytics

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What’s Required?

◦ Software

Microsoft Office 2013 Pro Plus (!) or Office 365 Pro Plus check your licences!

Microsoft SQL Server 2012 Business Intelligence Edition MSNAA (Dreamspark) Account

◦ Licence

BIA licence Key is required!

No fees!

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Support and Knowledge Base

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Let’s try

◦ OLAP – Access the Data Warehouse (Flatfile)

Server: dwh.bi-academy.eu

User: robert.jones

Password: password123

◦ OLAP – Access the Data Warehouse (Star Schema)

Server: dwh.bi-academy.eu

User: mike.farmer

Password: password123

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Links

◦ BI-Academy

www.bi-academy.eu

◦ BI Academy Symposium 2014, 26.11.2014, Stuttgart Media University, Germany

http://www.bi-academy.eu/?p=2770

◦ BI Modeller (Dimensional Fact Modell)

http://www.bimodeler.com/

https://www.youtube.com/watch?v=oMnqZKevGHw

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