10 pg paper Business Intelligence & SAP
© 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
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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)
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© 2010 SAP AG
SAP BI Curriculum BI1-M1 Introduction to Business Intelligence
A Brief History of Information Systems
- ERP Systems
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© 2010 SAP AG
SAP BI Curriculum BI1-M1 Introduction to Business Intelligence
Information Systems in a Company!?
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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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© 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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© 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
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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
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© 2010 SAP AG
SAP BI Curriculum BI1-M1 Introduction to Business Intelligence
Challenges (3)
- Tools – easy to use?
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© 2010 SAP AG
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?
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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
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© 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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© 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
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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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© 2010 SAP AG
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
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© 2010 SAP AG
SAP BI Curriculum BI1-M1 Introduction to Business Intelligence
Cube Navigation (2)
- Rotation
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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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© 2010 SAP AG
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
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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
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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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© 2010 SAP AG
SAP BI Curriculum BI1-M1 Introduction to Business Intelligence
OLTP Versus OLAP (2)
It is very hard to get all-in-one!
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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
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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
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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)
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© 2010 SAP AG
SAP BI Curriculum BI1-M1 Introduction to Business Intelligence
Business Intelligence Tool Box
Source: Eckerson, W. (May 2006). Business intelligence 2006 - only the beginning. What Works, 21.
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