10 pg paper Business Intelligence & SAP

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bi_intro1.ppt

© 2010 All Rights Reserved. SAP UA

Introduction to Business Intelligence

SAP University Alliances

Version 2.0

Authors Klaus Freyburger

Peter Lehmann

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SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Agenda

  • What is Business Intelligence?
  • What is a „Data Warehouse“?
  • What are the benefits and challenges?
  • What does „multi-dimensional“ mean?
  • What is „OLAP“?
  • OLTP versus OLAP
  • Business Intelligence tool box

Agenda

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

What is Business Intelligence?

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

What is Intelligence?

Definition:

  • The ability to learn or understand or deal with new and trying situations
  • The ability to apply knowledge to manipulate one’s environment

Source: Merriam-Webster’s Online Dictionary

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Intelligence in Business

  • What is the current status of the business?
  • What’s going well?
  • What needs improvement?
  • What are the business’ strengths and weaknesses?
  • Are there opportunities for innovation or competitive advantage?
  • How do we improve our decision making?


Yesterday – Now - Tomorrow

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Main Objective of Business Intelligence

  • Support intelligence (e.g., knowledge of status)

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

A Brief History of Information Systems

  • ERP Systems

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Information Systems in a Company!?

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Definition: „Business Intelligence“

  • „Business Intelligence“ covers strategies, processes and technologies in order to achieve knowledge about status, potentials and perspectives of a company out of heterogeneous and distributed data.

?

Definition Source: Institut für Business Intelligence (IBI), http://www.i-bi.de/home/index.html

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Business Intelligence Turns Data into Knowledge

Data

Information

Knowledge

Decision

Product A

Product B

Customer Smith

Customer Smith

buys product A

Product A & B have

a 80% sales correlation

Offer product B to

customer Smith

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SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Business Intelligence Stages

Source: Brobst, S. and J. Rarey, "Five Stages of Data Warehouse Decision Support Evolution", DSSResources.COM, 01/06/2003

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Agenda

  • What is Business Intelligence?
  • What is a „Data Warehouse“?
  • What are the benefits and challenges?
  • What does „multi-dimensional“ mean?
  • What is „OLAP“?
  • OLTP versus OLAP
  • Business Intelligence tool box

Agenda

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

What is a Data Warehouse?

  • A data warehouse is the most common
    data architecture for business intelligence.
  • A data warehouse is a specific
    company-wide data pool in order
    to support decision makers.

Top management

Mid and lower management

Planners, controllers, …

  • Data Warehouse

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Data Warehouse Characteristics

  • "A Data Warehouse is a subject-oriented, integrated, time-variant and nonvolatile collection of data in order to support management decisions,“ Bill Inmon (1996).

Subject-oriented

The organization of data is guided by the view of decision makers on specific areas of business.

Integrated

The Data Warehouse contains data from different internal and external sources. Important is the high quality of data, i.e., its correctness and consistency.

Time-oriented

Data in a Data Warehouse has a time dimension, i.e. all data values and their changes in time can be compared and analyzed along the time axis.

Nonvolatile

As opposed to operational databases, data are stored persistently in a Data Warehouse. Access is by reading the
data; analysis does not change the data.

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SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Data Integration Process

Source systems

  • External data sources
  • Internal data sources

Multi-dimensional data

  • Information models
  • Aggregation

Extraction, trans-

formation, loading

  • Selection, extraction,
  • Modification, loading

Data warehouse

  • Data storage
  • Administration

Data analysis and

analytical applications

  • OLAP, MIS, cockpits, …
  • Planning, scorecard, …

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Business Intelligence Platforms – 2008

Source: Gartner 2008

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Business Intelligence Platforms – 2009

Source: Gartner 2009

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Business Intelligence Platforms – 2010

Source: Gartner 2010

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Agenda

  • What is Business Intelligence?
  • What is a „Data Warehouse“?
  • What are the benefits and challenges?
  • What does „multi-dimensional“ mean?
  • What is „OLAP“?
  • OLTP versus OLAP
  • Business Intelligence tool box

Agenda

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Benefit: Reduce Action Time

Added

Value

Time

Operational

Transaction

Data Available

Analysis Results

Available

Decision

Made

Action

Implemented

Data access

time

Analysis

time

Decision

time

Implementation

time

Action time

Added Value loss

Source: Hackathorn, R.: Minimizing Action Distance (2003), http://www.tdan.com/view-articles/5132/

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Benefit: Reduce Action Time to Nearly Real Time

Added

Value

Time

Operational

Transaction

Data Available

Analysis Results

Available

Decision Made

Saved Time

Saved Value

Action Implemented

Action Implemented

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Other Benefits

  • Increased

Information quality by a „single version of the truth“

Competitive ability

Customer satisfaction

Inter-company and inter-department collaboration

Alignment with business strategy

  • Compliance with financial reporting regulations

Risk management

Financial consolidation

Corporate planning and forecasting

SOX (US), BASEL II (European Community), etc.

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Challenges (1)

  • Data Quality

Precise

Subject-oriented

Complete

Accessable

Flexibility

Security and authorisation

Time dependencies

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Challenges (2)

  • Business Terms – What do you mean?

„What is our revenue“?

„95% of our trains arrive just in time!“

“How many students will certainly finish?”

I have a stock here that could really excel !

This is

Madness!

I can‘t take anymore

Good Bye

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Challenges (3)

  • Tools – easy to use?

SAP UA

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SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Challenges (4)

  • Others

No clear project scope

No management project support

No appropriated IT infrastructure

Inadequate staff qualification

Lack of end user acceptance

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Agenda

  • What is Business Intelligence?
  • What is a „Data Warehouse“?
  • What are the benefits and challenges?
  • What does „multi-dimensional“ mean?
  • What is „OLAP“?
  • OLTP versus OLAP
  • Business Intelligence tool box

Agenda

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Multi-dimensional (1)

  • A key figure without a relationship to any object makes no sense!

1388486

A telephone number?

A material number?

Revenue in September 2007?

My boss‘ salary?

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Multi-dimensional (2)

  • San Francisco had 1,388,486 USD revenue in May 2007 by selling Mountain Bikes

Revenue in USD:
1,388,486

Month: May

Sales Organisation:
San Francisco

Group: Mountain Bike

Year: 2007

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Multi-dimensional (3)

  • Key figure: Revenue
  • Object: Values

Month  May

Year  2007

Sales Organisation  San Francisco

Material Group  Mountain Bike

Multi-dimensional means a key figure always relates to one or more objects.

SAP UA

Page *

© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Agenda

  • What is Business Intelligence?
  • What is a „Data Warehouse“?
  • What are the benefits and challenges?
  • What does „multi-dimensional“ mean?
  • What is „OLAP“?
  • OLTP versus OLAP
  • Business Intelligence tool box

Agenda

SAP UA

Page *

© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

OLAP

On-line Analytical Processing is a software technology which allows end-user driven, fast and interactive data analysis.

Revenue
1,388,486 USD

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SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Excel PivotTable

  • „What is the revenue in each country in 2007?“

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Excel PivotTable (1)

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Excel Pivot Table (2)

  • „What is the revenue in each country per month?“

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Pivot Table (3)

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

From Table View to a 3-Dimensional Cube

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Hierachies Allow Subcubes in a Cube

  • Product group  products
  • Year  quarter  months
  • Country  sales organisation

Example

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

From Cube to Report: MS Excel

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

From Cube to Report: SAP Business Explorer (1)

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

From Cube to Report: SAP Business Explorer (2)

click

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SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

From Cube to Report: SAP Business Explorer (3)

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Cube Navigation (1)

  • Slice

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Cube Navigation (2)

  • Rotation

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Cube Navigation (3)

  • Rotation, Example

Material Group and Country visible, Year restricted to 2007

Material Group and Year visible, all Countries aggregated

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Cube Navigation (4)

  • Dice

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SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Cube Navigation (5)

  • Drill-Down / Roll-Up

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SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Cube Navigation (Summary)

  • Rotation
  • Slice
  • Dice
  • Drilldown

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Is a Excel an OLAP Tool?

  • CFOs & controllers love it
  • Cheap
  • MS Office component
  • Easy to use
  • Nice graphics

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Is Excel an OLAP tool? What about…

  • Concurrent users?
  • Data volume?
  • Processing performance?
  • Aggregation behavior (fat client)?
  • Authorizations?
  • Metadata?
  • Many data sources?
  • Cell references?

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Requirement for OLAP Systems

  • Many concurrent users (1000+)
  • Sophisticated authorizations and security
  • Fast response time (< 5 sec)
  • High data volumes (>100+ GB or TB)
  • Multiple data sources
  • Easy to use (slice, dice, drill-down, roll-up)
  • Enhanced reporting functions

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Exercises

  • OLAP navigation using Excel PivotTables
  • OLAP navigation in SAP

Business Explorer Analyzer (Excel)

Business Explorer Web (Browser)

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

BI Architecture

Source systems

  • External data sources
  • Internal data sources

Multi-dimensional data

  • Information models
  • Aggregation

Extraction, trans-

formation, loading

  • Selection, extraction,
  • Modification, loading

Data warehouse

  • Data storage
  • Administration

Data analysis and

analytical applications

  • OLAP, MIS, cockpits, …
  • Planning, scorecard, …

SAP UA

Page *

© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Examples

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Agenda

  • What is Business Intelligence?
  • What is a „Data Warehouse“?
  • What are the benefits and challenges?
  • What does „multi-dimensional“ mean?
  • What is „OLAP“?
  • OLTP versus OLAP
  • Business Intelligence tool box

Agenda

SAP UA

Page *

© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Information Systems

Vertical Integration

Source: Mertens, P., Meier, M.: Integrierte Informationsverarbeitung (2009), 1.

Corporate

Planning

Accounting

Supplier Management,

Production Planning,

Cost Planning, …

Supplier

Accounting

Purchasing

Stocks

Sales

Personnel

Warehouse

Accounting

Customer
Invoices

Employee
Salary

Administration II:

Amount-Oriented

Processing

Administration I:

Value-Oriented

Processing

Disposition and
Planning

Analysis
and Controlling

Strategic

Enterprise

Management

Horizontal Integration

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

OLTP versus OLAP

On-line
Transactional
Processing

  • On-line
    Analytical
    Processing

Corporate

Planning

Accounting

Supplier Management,

Production Planning,

Cost Planning, …

Supplier

Accounting

Purchasing

Stocks

Sales

Personnel

Warehouse

Accounting

Customer
Invoices

Employee
Salary

Administration II:

Amount-Oriented

Processing

Administration I:

Value-Oriented

Processing

Disposition and
Planning

Analysis
and Controlling

Strategic

Enterprise

Management

Horizontal Integration

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

OLTP Versus OLAP (1)

OLTP OLAP
- Optimized to get data in - Optimized to get data out
- For management and daily business - For administration and daily decisions
- Processes a small amount of data per transaction - Processes a large amount of data per transaction
- Business-critical availability - Less critical availability
- Data updates online - Data updates regularly
- Data overwritten - Data are time-dependent

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SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

OLTP Versus OLAP (2)

It is very hard to get all-in-one!

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Agenda

  • What is Business Intelligence?
  • What is a „Data Warehouse“?
  • What are the benefits and challenges?
  • What does „multi-dimensional“ mean?
  • What is „OLAP“?
  • OLTP versus OLAP
  • Business Intelligence tool box

Agenda

SAP UA

Page *

© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Where Are the End Users?

Top Management

Middle Management

Lower Management

Corporate

Planning

Accounting

Supplier Management,

Production Planning,

Cost Planning, …

Supplier

Accounting

Purchasing

Stocks

Sales

Personnel

Warehouse

Accounting

Customer
Invoices

Employee
Salary

Administration II:

Amount-Oriented

Processing

Administration I:

Value-Oriented

Processing

Disposition and
Planning

Analysis
and Controlling

Strategic

Enterprise

Management

Horizontal Integration

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

What Do They Do?

Specialists

(Authors)

Analysts

Consumers

10%

20%

70%

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Consumers

  • Get reports on a regular base
  • Look over huge amount of data
  • Occasionally stumble on something that proves
    to be useful
  • Sporadic usage of data
  • Sometimes find areas for further exploration
  • Heavy reliance on tools for displaying data

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Analysts

  • Regular access to data
  • Know what they are looking for
  • Requirements known before search for data
    starts
  • Find small flakes of gold regularly
  • Make use of tools for analysis and presentation

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Specialists (Authors)

  • Requirements are known
  • Irregular access to data
  • Look over massive amounts of data
  • Sometimes find huge nuggets of gold
  • Unpredictable pattern of access
  • Access detailed data regularly
  • Look at relationships of data
  • Make use of tools of discovery, analysis and
    presentation
  • Make results available to others (consumers,
    analysts)

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

SAP UA

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© 2010 SAP AG

SAP BI Curriculum BI1-M1 Introduction to Business Intelligence

Summary

  • What is Business Intelligence?
  • What is a „Data Warehouse“?
  • What are the benefits and challenges?
  • What does „multi-dimensional“ mean?
  • What is „OLAP“?
  • OLTP versus OLAP
  • Business Intelligence tool box

Agenda