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Databases and Data Warehouses

 DATABASE FUNDAMENTALS

     Organizational Information

          Information Levels

                Individual

                     o Knowledge

                     o Goals

                     o Strategies

                Department

                     o Goals

                     o Revenues

                     o Expenses

                     o Processes

                     o Strategies

                Enterprise

                     o Revenues

                     o Expenses

                     o Processes

                     o Strategies

          Information Formats

                Document

                     o Letters and Memos
o Faxes and Emails

     o Marketing and training materials

 Presentation

     o Product and strategy

     o Process and financial

     o Customer and competitor

 Spreadsheet

     o Sales and marketing

     o Industry and financial

     o Customer and competitor

     o Order and spreadsheet

 Database

     o Customer and employee

     o Sales and order

     o Supplier and manufacturer

 Information Granularities

     o Detail (Fine)

              Reports for each salesperson, product, and
               part

     o Summary

              Reports for all sales personnel, all products,
               and all parts
 Aggregate (Coarse)

                                Reports across departments,
                                organizations, and companies

 The Value of Transactional and Analytical Information

      Encompasses all of the information contained within a single
       business process or unit of work

      Primary purpose is to support the performing of daily
       operational task

 The Value of Timely Information

      Real-time information

            Immediate

            Up-to-date

      Real-time systems

            Provide real-time information in response to request

 The Value of Quality Information

      Accuracy

      Completeness

      Consistency

      Uniqueness

      Timeliness

 Relational Database Fundamentals
 Database maintains information about various types of objects
        (inventory), events (transactions), people (employees), and
        places (warehouses)

       Hierarchical base model information organized into a tree-like
        structure that allows repeating information using parent/child
        relationship

       Network database model is a flexible way of representing
        objects and their relationships.

       Relational database model is a type of database that stores
        information in the form of logically related two-dimensional
        tables.

 Entities and Attributes

       Entity

             A person, place, thing, transaction, or event about which
              information is stored

             Customer, order, order line, product, and distributor

       Attributes

             Characteristics or properties of an entity class

             Customer ID, Customer Name, and Phone

 Keys and Relationships

       Primary key is a field that uniquely identifies a given entity
        table

       Foreign key in the relational database model is a primary key
        of one table that appears as an attribute in another table and
        acts to provide a logical relationship between the two tables.
 Relational Database Advantages

          Increased Flexibility

          Increased scalability and performance

          Reduced information redundancy

          Increased information integrity (quality)

          Increased information security

     Data-Driven Website Advantages

          Development

          Content management

          Future expandability

          Minimizing human error

          Cutting production and update cost

          More efficient

          Improved stability

 DATA WAREHOUSE FUNDAMENTALS

     Accessing Organizational Information

          Base its labor on actual number of guests served per hour

          Develop promotional sale item analysis to help avoid losses
           from overstocking or under stocking inventory

          Determine theoretical and actual costs of food and the use of
           ingredients

     Data Mining and Business Intelligence
 Data mining

      Process of analyzing data to extract information not
       offered by the raw data alone

      Can begin at a summary information level and progress
       through increasing levels of details

 Data-mining tools

      Use a variety of techniques to find patterned and
       relationships in large volumes of information

      Infer rules from them that predict future behavior and
       guide decision making

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Chapter 6

  • 1. Databases and Data Warehouses  DATABASE FUNDAMENTALS  Organizational Information  Information Levels  Individual o Knowledge o Goals o Strategies  Department o Goals o Revenues o Expenses o Processes o Strategies  Enterprise o Revenues o Expenses o Processes o Strategies  Information Formats  Document o Letters and Memos
  • 2. o Faxes and Emails o Marketing and training materials  Presentation o Product and strategy o Process and financial o Customer and competitor  Spreadsheet o Sales and marketing o Industry and financial o Customer and competitor o Order and spreadsheet  Database o Customer and employee o Sales and order o Supplier and manufacturer  Information Granularities o Detail (Fine)  Reports for each salesperson, product, and part o Summary  Reports for all sales personnel, all products, and all parts
  • 3.  Aggregate (Coarse) Reports across departments, organizations, and companies  The Value of Transactional and Analytical Information  Encompasses all of the information contained within a single business process or unit of work  Primary purpose is to support the performing of daily operational task  The Value of Timely Information  Real-time information  Immediate  Up-to-date  Real-time systems  Provide real-time information in response to request  The Value of Quality Information  Accuracy  Completeness  Consistency  Uniqueness  Timeliness  Relational Database Fundamentals
  • 4.  Database maintains information about various types of objects (inventory), events (transactions), people (employees), and places (warehouses)  Hierarchical base model information organized into a tree-like structure that allows repeating information using parent/child relationship  Network database model is a flexible way of representing objects and their relationships.  Relational database model is a type of database that stores information in the form of logically related two-dimensional tables.  Entities and Attributes  Entity  A person, place, thing, transaction, or event about which information is stored  Customer, order, order line, product, and distributor  Attributes  Characteristics or properties of an entity class  Customer ID, Customer Name, and Phone  Keys and Relationships  Primary key is a field that uniquely identifies a given entity table  Foreign key in the relational database model is a primary key of one table that appears as an attribute in another table and acts to provide a logical relationship between the two tables.
  • 5.  Relational Database Advantages  Increased Flexibility  Increased scalability and performance  Reduced information redundancy  Increased information integrity (quality)  Increased information security  Data-Driven Website Advantages  Development  Content management  Future expandability  Minimizing human error  Cutting production and update cost  More efficient  Improved stability  DATA WAREHOUSE FUNDAMENTALS  Accessing Organizational Information  Base its labor on actual number of guests served per hour  Develop promotional sale item analysis to help avoid losses from overstocking or under stocking inventory  Determine theoretical and actual costs of food and the use of ingredients  Data Mining and Business Intelligence
  • 6.  Data mining  Process of analyzing data to extract information not offered by the raw data alone  Can begin at a summary information level and progress through increasing levels of details  Data-mining tools  Use a variety of techniques to find patterned and relationships in large volumes of information  Infer rules from them that predict future behavior and guide decision making