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Chapter 11 1 Business Intelligence and Corporate Performance Management

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Page 1: Ch11

Chapter 111

Business Intelligence and Corporate Performance

Management

Page 2: Ch11

Concepts and Benefits

2Chapter 11

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• BI is an umbrellas term that combines

–Architecture–Tools–Databases–Applications–Methodologies

Chapter 113

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• To enable interactive access to data

• To enable manipulation of these data

• To provide business manager &

analysts the ability to conduct

appropriate analysis.

Chapter 114

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• Data warehouse

• Business analytics

• Business Performance Management

• User Interface

Chapter 115

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6Chapter 11

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Chapter 117

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• It is a special database, or repository of

data, that has been prepared

• To support decision making applications

ranging from

• Simple reporting and querying to

complex optimization

Chapter 118

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• Constructed with methodologies,

mainly metadata and ELT.

• It is also based on data marts, which

are repositories for departments and

various functions.

Chapter 119

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• Software tools to create on-demand

reports and queries and analyze data.

• Appears under the name OLAP

• Identify performance trends using

trend analysis and graphing tools.

Chapter 1110

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• Reporting and queries

• Advanced analytics

• Data , text and web mining

Chapter 1111

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• Is constructed for monitoring and analysis of performance.

• Based on Balanced scorecard : framework for defining, implementing & managing & enterprise’s business strategy by linking objectives with factual measures.

Chapter 1112

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• Dashboards: organize and present information in a way that is easy to read.–Presents corporate performance

measures (KPIs), trends, exceptions.

• Visualization tools: multidimensional cube to present virtual reality. GIS etc…

Chapter 1113

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Chapter 1114

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• Time savings

• Single version of the truth

• Improved strategies and plans

• Improved tactical decisions

• Efficient processes & cost saving

• Improved customer & partner relationships

Chapter 1115

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• Faster, more accurate reporting

• Improved decision making

• Improved customer service

• Increased revenue

Chapter 1116

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Chapter 1117

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Online Analytical Processing,

Reporting and Querying

18Chapter 11

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• Is the science of analysis.

• It refers to analysis of data and

information.

Chapter 1119

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• It provides the models and procedures to

BI.

• Involves tracking data.

• Analyzing data for competitive advantage.

Chapter 1120

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• Is a broad category of applications and techniques for:

–Gathering–Storing–Analyzing–Providing access to data to help

enterprise users make better business and strategic decisions.

Chapter 1121

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• It is also known as:

–Analytical processing

–Business intelligence tools

–Business intelligence applications or

–Business intelligence

Chapter 1122

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• Automating the thinking

• Uses complex quantitative techniques

Chapter 1123

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• Knowledge discovery: the process of

extracting useful knowledge from volumes

of data.

Chapter 1124

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• To identify valid, novel, potentially useful

and understandable patterns in data.

• Supported by:

–Massive data collection

–Powerful multiprocessor computers

–Data mining & algorithmsChapter 11

25

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• OLAP refers to a variety of activities

performed by end-users in online systems.

Chapter 1126

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• Routine: automatically generated and

distributed periodically to internal &

external subscribers on mailing lists.

• Ad-hoc: customized for specific users

when needed.

Chapter 1127