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Foundation of Business
Intelligence
Chapter 5
File organization concept
• Computer system organizes data in a hierarchy
• Field: Group of characters as word or number
• Record: Group of related fields
• File: Group of records of same type
• Database: Group of related files
• Record: Describes an entity
• Entity: Person, place, thing on which we store information
• Attribute: Each characteristic, or quality, describing entity
Traditional File Processing
Problems with the traditional file environment
(files maintained separately by different departments)
– Data redundancy:
• Presence of duplicate data in multiple files
– Data inconsistency:
• Same attribute has different values
– Program-data dependence:
• When changes in program requires changes to data accessed by program
– Lack of flexibility
– Poor security
– Lack of data sharing and availability
BI is the process of transforming data into
information
Using databases to improve business performance and
decision making
• Business Intelligence:
• Tools for consolidating, analyzing, and providing access to vast amounts of data to help users
make better business decisions
• Principle tools include:
• Software for database query and reporting
• Online analytical processing (OLAP)
• Data mining
• Database
• Serves many applications by centralizing data and controlling redundant data
• Database management system (DBMS)
• Interfaces between applications and physical data files
• Separates logical and physical views of data
• Solves problems of traditional file environment
• Controls redundancy
• Eliminates inconsistency
• Uncouples programs and data
• Enables organization to centrally manage data and data security
• Relational DBMS
• Represent data as two-dimensional tables called relations or files
• Each table contains data on entity and attributes
Table: grid of columns and rows
• Rows (tuples): Records for different entities
• Fields (columns): Represents attribute for entity
• Key field: Field used to uniquely identify each record
• Primary key: Field in table used for key fields
• Foreign key: Primary key used in second table as look-up field to identify records from original table
The composition of a BI
Business Intelligence in the Enterprise
• Business intelligence
• Infrastructure for collecting, storing, analyzing data produced by business
• Databases, data warehouses, data marts
• Business analytics
• Tools and techniques for analyzing data
• OLAP, statistics, models, data mining
Business Intelligence And Analytics For Decision Support
• Very large databases and systems require special capabilities, tools
• To analyze large quantities of data
• To access data from multiple systems
• Three key techniques
1. Data warehousing
2. Data mining
3. Tools for accessing internal databases through the Web
• Data warehouse:
– Stores current and historical data from many core operational
transaction systems
– Consolidates and standardizes information for use across enterprise,
but data cannot be altered
– Data warehouse system will provide query, analysis, and reporting
tools

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Chapter5

  • 2. File organization concept • Computer system organizes data in a hierarchy • Field: Group of characters as word or number • Record: Group of related fields • File: Group of records of same type • Database: Group of related files • Record: Describes an entity • Entity: Person, place, thing on which we store information • Attribute: Each characteristic, or quality, describing entity
  • 4. Problems with the traditional file environment (files maintained separately by different departments) – Data redundancy: • Presence of duplicate data in multiple files – Data inconsistency: • Same attribute has different values – Program-data dependence: • When changes in program requires changes to data accessed by program – Lack of flexibility – Poor security – Lack of data sharing and availability
  • 5. BI is the process of transforming data into information
  • 6. Using databases to improve business performance and decision making • Business Intelligence: • Tools for consolidating, analyzing, and providing access to vast amounts of data to help users make better business decisions • Principle tools include: • Software for database query and reporting • Online analytical processing (OLAP) • Data mining
  • 7.
  • 8. • Database • Serves many applications by centralizing data and controlling redundant data • Database management system (DBMS) • Interfaces between applications and physical data files • Separates logical and physical views of data • Solves problems of traditional file environment • Controls redundancy • Eliminates inconsistency • Uncouples programs and data • Enables organization to centrally manage data and data security
  • 9. • Relational DBMS • Represent data as two-dimensional tables called relations or files • Each table contains data on entity and attributes Table: grid of columns and rows • Rows (tuples): Records for different entities • Fields (columns): Represents attribute for entity • Key field: Field used to uniquely identify each record • Primary key: Field in table used for key fields • Foreign key: Primary key used in second table as look-up field to identify records from original table
  • 11. Business Intelligence in the Enterprise • Business intelligence • Infrastructure for collecting, storing, analyzing data produced by business • Databases, data warehouses, data marts • Business analytics • Tools and techniques for analyzing data • OLAP, statistics, models, data mining
  • 12. Business Intelligence And Analytics For Decision Support
  • 13. • Very large databases and systems require special capabilities, tools • To analyze large quantities of data • To access data from multiple systems • Three key techniques 1. Data warehousing 2. Data mining 3. Tools for accessing internal databases through the Web
  • 14. • Data warehouse: – Stores current and historical data from many core operational transaction systems – Consolidates and standardizes information for use across enterprise, but data cannot be altered – Data warehouse system will provide query, analysis, and reporting tools