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Organizing Data and Information for Use in Decision Making

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Need a database that keeps track of the following information about your health club: ... in only one course (at a time) that is offered by your health club. ... – PowerPoint PPT presentation

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Title: Organizing Data and Information for Use in Decision Making


1
Organizing Data and Information for Use in
Decision Making
(MIS)
2
Views of Data
  • The Physical View
  • Concerned with
  • The Logical View
  • Concerned with how data is represented so that it
    will be meaningful to users.

3
Bit a single zero or one
4
  • E (usually called simply Entity)
  • It is a concept that relates to the items about
    which you wish to store information--these
    items can include conceptual ideas such as
    philosophers thoughts, people such as
    student, things such as refrigerators or
    places such as city.
  • G
  • EMPLOYEES Table

5
  • Instance
  • An of an Entity Class is called an of that
    class. Manhattan is an instance of the entity
    class city.
  • A More
  • A record in Access

6
  • Attribute
  • C
  • Employee , Last Name, First Name, Hire Date,
    Dept. Number
  • The columns in Access
  • A PRIMARY KEY is a field in a database file that
  • ID Number Social Security Number

7
Four main database models
  • Hierarchical
  • Network
  • Relational (the )
  • Object-Oriented

8
Relational Database Model
  • Uses a series of two-dimensional called to
    store information relating to a
  • Tables Relation A specific entity class
  • Rows or individual file folders.
  • Columns Attributes or
  • The relational database model is the widely used
    database model at the present time.

9
Spreadsheet Data Used to create a database
10
Steps to Create a Relational Database
  • Define entity classes and primary keys
  • Define relationships among entity classes
  • Define attributes (fields) for each relation
  • Use a data definition language to create the
    database.

11
Step One
  • Need a database that keeps track of the following
    information about your health club
  • The first name, last name, and id number for each
    of your members
  • The address (street, city, state) where your
    members live
  • The gender of each member and what class(es) they
    are taking
  • The course name, number, and time that each of
    course meets
  • The first name, last name, and id number for each
    of your employees.
  • The home phone number for each employee, as well
    as their salary amount and the date that they
    were hired.

12
Data Assumptions/Traits
  • Member Number is unique. Each member will have
    only one Member Number. There is one Member for
    each Member Number.
  • At this time, each member can enroll in only one
    course (at a time) that is offered by your health
    club. Therefore, each member will have only one
    class number recorded at any time. (At some point
    in your assignment, you will make it possible for
    your members to take more than one course at a
    time)
  • Class Number is the unique identifier for each
    class that your health club offers. There is
    only one course for each class number.
  • Employee Number is the unique identifier for each
    employee that works at your health club. There
    is only one employee for each employee number.

13
Data Assumptions/Traits
  • A member can take only one course at a time.
  • Only one instructor can teach a particular
    course.
  • Only one section of a course is taught at any one
    time.
  • A course may be taken by many different students.
  • An instructor can teach more than one course at
    any one time.
  • THEREFORE WE HAVE THE FOLLOWING ENTITY CLASSES
  • MEMBERSHIP - primary key is Member Number
  • COURSES - primary key is Class Number
  • EMPLOYEES primary key is Employee Number

14
Step 2 Define between entity
classes. Using an Entity Relationship (E-R) Model
Diagram, we can represent the entity classes and
their relationships
STEP 3 Define the attributes in each Entity
which has been converted into a
15
Normalization
  • A technique used to make complex databases more
    efficient
  • Break one large
  • Eliminate all repeating groups in records
  • Eliminate
  • Assure that each field in the relation depends
    only on the primary key of that relation

16
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17
Normalized Data are together by a
found in
18
A of this current example is that each member
can . That is highly inefficient and it is
not a good way to run your business.
19
Creating a allows you to store
information in that table related to all of the
different courses that your members are enrolling
in.
  • Class Number from the Membership table
    and placed in the Enrollment table.
  • Neither Member Number nor Class Number is unique
    by itself in the Enrollment table. However, you
    can create a key that together, and
    that can be your unique identifier.

20
Step 4 Use a Data Definition Language to
create the database
  • You need a database management system (DBMS) to
    do this

21
Microsoft is a software
(database management system) that a
that follows the principles found in the
Model
22
What Is a Database Management System
  • An
    that provides all the necessary
    capabilities for b
    files, ex
    required for making decisions,
    and formatting the information into structured
    reports.
  • DIFFERENT FROM A DATABASE

23
DATABASE
a collection of information that you
  • A database is actually composed of two parts
  • 1. The information itself / the files that are
    logically associated
  • 2. The logical structure of the information which
    is called the data dictionary.
  • The data dictionary contains the logical
    properties that describe information in a
    database.

24
DATABASE MANAGEMENT SYSTEM (DBMS)
the software you use to specify the logical
organization for a database and access it.
  • A DBMS contains 5 software components

25
Database Management System Engine
accepts logical requests from the various other
DBMS subsystems, converts them to their physical
equivalent, and actually accesses the database
and data dictionary as they exist on a storage
device. You can work with the information
26
DATA DEFINITION SUBSYSTEM
helps you create and maintain the data dictionary
and define the structure of the files in a
database.
  • A data dictionary serves the as an .
  • You use this subsystem to define the information
    logical when you first
    create a database.
  • Once youve created a database, you use this
    subsystem to fields,
    fields, or field
    properties.

27
What might be found in a data dictionary in
Access?
  • F and their , as well as the
  • I are rules that help assure the quality of
    the information in a database. (Validation Rules
    in Access)
  • Setting a for a field
  • A birth date can be now or in the past not in
    the future.
  • A registration database at your school includes
    integrity constraints concerning for certain
    classes.
  • Validation Text seen in Access.

28
What might be found in a data dictionary in
Access?
  • Input Masks and Field Sizes
  • Formats, Default Values, and Captions
  • With Referential Integrity, you create a feature
    that will
  • When two different tables are linked/joined by a
    relationship where referential integrity is
    enforced, you cannot type data into a linked
    field if that same data does not already exist in
    the original table.
  • You

29
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30
DATA MANIPULATION SUBSYSTEM
helps you add, change, and delete information in
a database and mine it for valuable information.
  • This subsystem is most often the
    between you as a user and the information
    contained in a database.
  • Tools in this subsystem include views, report
    generators, query-by-example tools, and
    structured query language.

31
DATA MANIPULATION TOOLS
  • - allows you to see the
    content of a database file, make whatever changes
    you want, perform simple sorting, and search to
    find the location of specific information.
  • Add records.
  • Delete records
  • Sort records.
  • Search for records.

32
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33
DATA MANIPULATION TOOLS
  • REPORT GENERATOR - helps you quickly define
    formats of reports and what information you want
    to see in a report. You can specify exactly
    what you want to see and where you want to see
    it.
  • Report Wizard
  • Report Design Screen

34
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35
DATA MANIPULATION TOOLS
  • QUERY-BY-EXAMPLE (QBE) TOOL - helps you
    graphically design the answer to a question. You
    create this query
  • You specify that you want the database
    searched for, and the query tool will return
    records that match the conditions or criteria
    that you specified.
  • Queries are used to useful

36
Query Design screen (above) and Query Result
(below)
37
DATA MANIPULATION TOOLS
  • STRUCTURED QUERY LANGUAGE (SQL) - a standardized
    fourth-generation language found in most database
    environments. SQL is the same as QBE, except
    that you perform a query by creating a statement
    instead of pointing, clicking, dragging.
  • SQL is a
  • Uses
  • SELECT
  • FROM
  • WHERE

38
APPLICATION GENERATION SUBSYSTEM
contains facilities to help you develop
transaction-intensive applications. This
subsystem includes
  • Tools for creating
  • Application buttons that are used to execute a
    certain task.
  • Uses a programming language specific to the
    database management system that you are using.

39
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40
DATA ADMINISTRATION SUBSYSTEM
helps you manage the overall database environment
by providing facilities for
  • B
  • Security management
  • W
  • W
  • Concurrency control ensures the validity of
    database updates.
  • Change management allows you to assess the impact
    of proposed structural changes.

41
One of the goals of a database management system
is to provide easy
, while at the same time
. If you have multiple files,
each containing the same information, then you
will most likely find redundant elements and
erroneous data.
42
Relational Database Model
  • Uses a series of two-dimensional
  • Connects or relates data in different files
    through the use of a
  • Based on mathematical principles which allow for
    more logical manipulation of data.
  • Most flexible type of organization.

43
THE CONCEPT OF KEYS
  • A KEY is a field or combination of fields used to
    identify records so they can be easily retrieved
    and processed.
  • A PRIMARY KEY is a field in a database file that.
  • I Social
  • You can create relationships between tables/files
    through /file.

44
Student and Department
Student Entity Student Number Address . . Dep
artment ID
Department Entity Department ID Address . .
This way, if we wanted to know all the students
that belong to a particular department, we could
get the listing by joining the two entities on
the Department ID value.
45

Relational Database Model
State DMV Database
1XYZ234
J.Doe
J. Doe
A405261
1XYZ234
A405261
46
  • Creating between database files.
  • C /file.
  • You might have to physically draw the connection
    between two tables/files. This is usually
    achieved by drawing a connecting line between two
    fields.

47
INFORMATION STORED SEPARATELY BUT CAN BE RELATED
THROUGH KEY JOINS
48
Another example which movies are provided by
which distributors?
49
Recent Database Developments
  • The Data Warehouse and Data Mining
  • Object-Oriented Database Management Systems

50
Organizational Databases
  • Organizational databases are constantly changing
    as the organizational systems are constantly
    updating and changing the contents of the
    organizational database to reflect current
    business activities.
  • Organizational databases support . Constantly
    being updated and changed.
  • Not very useful for decision making involving
    the analysis of
  • Organizational databases rarely maintain
    historical data, just information related to
    current operations.

51
  • A logical collection of information gathered from
    operational databases.
  • Contains historical data that has been extracted
    from many different operational databases.
  • Historical data is used for decision making.

52
  • Operational databases support transaction
    processing (OLTP).
  • Data warehouses support (OLAP) because
    historical data is analyzed in order to make
  • D are the software tools used to query
    information in data warehouse.
  • Use advanced statistical techniques to search for
    patterns and anomalies in the data.
  • Attempts to find answers to questions the user
    did not even think to ask.

53
  • A relational database stores information in a
    series of .
  • Data warehouses are , containing
    Each dimension is an of information.

54
D perform analysis in data
warehouses
  • C common term for the representation of
    multi-dimensional information ( )

55
Applications of Data Mining
  • M identifying common characteristics of
    customers who buy the same products from your
    company.
  • Customer Churn predicting which customers are
    likely to leave your company and go to a
    competitor.
  • F identifying which transactions are most
    likely to be fraudulent.
  • Direct Marketing identifying the best prospects
    in order to obtain the highest response rate.
  • Market trying to understand which products
    are commonly purchased together.
  • T trying to reveal differences between one
    period and another period.

56
  • Info in an Excel spreadsheet and a relational
    database (Access) appears in the form of a two
    dimensional table of rows and columns.
  • By adding a , you can add 3-D
    (rows and columns and layers).
  • Creating a 3-dimensional Pivot Table in Excel is
    a means of conceptually building a data
    warehouse. Page fields represent the depth layer
  • Pivot Tables can help you see relationships in
    the data

57
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58
  • The following are summary slides that I dont
    plan on covering in class, but I am making
    available for you to review, if you wish.
  • The Interpreting SQL slides will be seen at a
    later date (after everyone has made queries in
    lab)

59
TO SUMMARIZE
  • How we view information
  • The physical view of information deals with how
    information is physically arranged, stored, and
    accessed on some type of secondary storage
    device.
  • The logical view of information focuses on how
    you need to arrange and access information to
    meet your particular business needs.
  • A database is a collection of information that
    you organize and access according to the logical
    structure of that information.
  • The data dictionary contains the logical
    structure of information in a database.

60
Database Models
  • Relational Database Model
  • All the data is arranged in a series of related
    tables. Student, Class, Instructor
  • Tables are linked together by common fields.
  • Object-Oriented Database Model
  • Allows you to store the data and the procedures
    used to manipulate that data together.
  • Can be used to store text, sound, video, and
    images.
  • Stores data, computes GPA, and creates a
    transcript.

61
Normalization
  • Used to create tables in a relational database.
  • Break one large table into several smaller tables
  • Eliminate redundant data (duplicate copies)
  • With redundancy removed, you only need to make a
    change once and all linkages are automatically
    updated.

62
Proper Database Design
  • Field Name Brian Kovar
  • Field Address
  • 123 North Main, Manhattan, KS 66502
  • Field Last Name Kovar
  • Field First Name Brian
  • Field Address 123 North Main
  • Field City Manhattan
  • Field State KS
  • Field Zip Code 66502

63
Interpreting SQL Code
64
SQL (The language used to query a database)
  • S is used to specify the you
    want to include.
  • F is used to specify the
    the selected fields are
    coming from.
  • W is used to
    used to narrow down the data prior to
    being displayed.
  • O is used to
    specify how the records (in ascending or
    descending order), as well as the sort order.
  • I specifies that two or more tables are
    and it also specifies the field that forms the
    between the tables.

65
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66
  • S the following fields from the Employees
    table Last Name, Title and Salary.
  • The used to narrow down the records is where
    the title is Sales Representative.
  • The results should be in descending order
    (high to low number order) based on salary.
  • All of the fields in the query come from the
    Employees table.

67
  • SELECT Max(Employees.Salary) AS MaxOfSalary,
    Min(Employees.Salary) AS MinOfSalary,
    Avg(Employees.Salary) AS AvgOfSalary,
    StDev(Employees.Salary) AS StDevOfSalary
  • FROM Employees
  • Select the Salary field from the Employees table
    (4 times).
  • Find the maximum salary, the minimum salary, the
    average of salaries and the standard deviation of
    salaries.

68
  • Select the following fields from the Customers
    table Company Name, City and Country.
  • The criteria used to narrow down the records is
    where the country begins with U (it does not
    matter what comes after the U as long as the
    first letter of the country is a U).
  • All of the fields in the query come from the
    Customers table.

69
  • All of the fields in the query come from either
    the Customers table or the Orders table.
  • The Customers and Orders tables are joined
    together by the common field of Customer ID
    (Inner Join signifies this).
  • Select the following fields from the Customers
    table Customer ID and Company Name.
  • Select the following fields from the Orders
    table Order Date and Shipped Date.
  • The criteria used to narrow down the records is
    that the company name should match Bs
    Beverages.

70
  • O is used to specify how the records should be
    sorted (in ascending or descending order), as
    well as the sort order.
  • F uses the city field and the records are
    sorted in alphabetical order by city (order by
    defaults to ascending order)
  • If there happen to be multiple entries from the
    same city, a (descending order by last name)
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