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BUSINESS NORMALIZATION CONCEPTS COURSE
(Course Code: DM2)
CONTENTS
Business Normalization Concepts Course
What is Business
Normalization?
Business normalization applies a number of business rules to the definition and
meaning of data, so enabling business experts and IT experts to identify data and
information that are needed for the organisation based on its current needs, as well as
its anticipated future needs.
It ensures that the many uses of that data throughout an organisation can be
satisfied from a single non-redundant version. Thus information derived from that single
data version is able to be maintained consistent and up-to-date. Common reusable business
processes can also be defined that operate efficiently against the data.
Data Administrators and Data Base Administrators have used
normalization
techniques for years to design data bases that readily accommodate change. These
techniques are often called "Traditional Normalization" to distinguish
them from "Business Normalization". Traditional normalization has been
found to be difficult for business experts to apply. In contrast, Business
Normalization
uses a variation in the normalization rules that business experts understand more readily.
They can participate actively with IT experts, using business knowledge to develop
normalized data models that reflect great business expertise. With business and IT experts
working together in a design partnership, data bases are designed to incorporate business
rules and expert rules that address current and future business needs.
Business normalization is a vital component of data
modeling which, in turn, is
an essential prerequisite for development of data bases, Data Warehouses, for Business Re-Engineering and for business transformation to take advantage of the
Internet and corporate Intranet technologies. Business normalization can also be used to
identify data used by legacy systems and data bases, and develop data models that can be
used to migrate the legacy data to other environments.
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Purpose of the Course
This course teaches business managers and their staff ("business
experts") as well as analysts, data administrators and data base administrators
("IT experts") the steps and rules of business normalization, so enabling them
to work together in a design partnership to develop data models for their organization.
A data model provides a blueprint of the data needed to support business
processes, and the information needed by management for decision-making. A data model is a
prerequisite for:
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Development of integrated data bases to be used for Applications
and for redevelopment of Legacy Systems
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Development of a Corporate Repository for Data and Information Warehouses
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Identification of re-engineered business process opportunities
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Business Re-Engineering to take advantage of the Internet and Intranets
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Prerequisites
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Audience for the Course
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Business managers and their staff who need to understand the application of
business normalization to data modeling, so they can participate actively in partnership
with IT staff in data modeling sessions that draw on their business expertise.
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IT managers, data administrators and systems development staff who need to
understand the application of business normalization to data modeling, so they can
participate with business managers and staff in data modeling sessions: enabling the IT
staff to draw on their systems development expertise in a design partnership with the
business experts.
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Objectives of the
Course
On completion of the course, both business experts and IT experts will
understand:
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How to develop a
normalized entity list from any unnormalized data source.
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How business
normalization can be used to identify current business needs.
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How business
normalization can be used to eliminate redundant data versions, to
implement integrated data bases that can be used more effectively.
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How business
normalization can be used to identify future business needs and
cross-check the accuracy of business meaning to design for the future.
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How expert knowledge can be captured in fifth business normal form (5BNF)
Structure entities to manage knowledge as a valuable business asset.
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How business
normalization and data mapping both support each other, and how they
can be used iteratively in data modeling to uncover business meaning.
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Certified Business Data Modeller
Participants in this course can qualify as a Certified Business Data Modeller
by completing the prerequisite Data Modeling Concepts course, and by completing
the Data Modeling Case Study Workshop.
The student edition of the
Visible Advantage modeling
tool is supplied to each student. This is a limited capacity, but full-function
modeling tool that is used in conjunction with the case study workshop. It includes laboratory
exercises and instructions for entering your case study solution into Visible Advantage so
that you can check the validity of the solution before its submission.
The Visible Advantage encyclopedia must be returned to us by email
as your solution to the CBDM Exam, for
individual assessment. If required, we will set additional remedial study and exercises
until each student demonstrates a full understanding of the relevant Data
Modeling and
Business Normalization concepts.
Following completion of the workshop, the student edition of Visible
Advantage is retained by each student and can be used for small projects, if required. The
encyclopedia from each small project can be automatically merged into larger project
encyclopedias, using the enterprise edition of Visible Advantage - if relevant. This
enables students to apply the skills they have learned to specific areas of your
enterprise where they have particular expertise.
To register for Certification, please complete and submit the Registration Form, providing also an email address. We will email
to you a password and further details so that you can download and install the courses and
workshop materials.
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Course Outline
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Introduction to Business
Normalization: Provides business examples
that illustrate the benefits and advantages of business normalization.
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Reasons for Business
Normalization: Uses typical business problems
that show how business normalization is used to structure data so that data redundancy is
eliminated, and data maintenance problems that arise from redundant data are also
eliminated.
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First, Second and Third Business Normal Form: Contrasts business
normalization with traditional normalization. Covers the rules of First Business Normal
Form (1BNF), Second Business Normal Form (2BNF) and Third Business Normal Form (3BNF).
Shows how business normalization cross-checks are used to uncover business meaning,
identify homonyms and synonyms, and identify potential future business needs.
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Fourth and Fifth Business Normal Form: Shows the rule and use of
Fourth Business Normal Form (4BNF) to identify supertypes and subtypes. Covers the
identification and capture of business expertise in Fifth Business Normal Form (5BNF)
Structure entities, as dynamically-updated business knowledge defined by business experts.
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Business
Normalization Examples: Uses progressively completed
course exercises, as well as many business examples, to illustrate application of the five
business normal form rules. Shows how these rules can help identify additional business
needs that may have been missed earlier, so that systems and data bases that are later
developed do address the business requirements.
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Course Exercises: Twelve course exercises of increasing difficulty
are included for student completion throughout the course, together with sample solutions.
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Duration of the Course
The course material, when presented as PowerPoint visuals, will take
approximately 4 - 6 hours to complete. With completion of the twelve included course
exercises, a total of 8 - 10 hours will be required depending on each student's
progress.
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CBDM Registration
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Course License Agreement
The courses and workshop are
delivered in an electronic format as a password-protected compressed file,
downloaded using an email message which also contains the Course License
Agreement. Before downloading, decompressing or expanding the courses and
installing them on a machine for use, please read the terms of the Agreement
carefully. If you do not agree with them, you should promptly destroy all copies
of the file, whether electronic, printed or otherwise and notify Information
Engineering Services Pty Ltd in writing by post, electronic mail or facsimile of
its destruction. On receipt of this notification, your money will be refunded.
You will otherwise be taken to have accepted and agreed to all the terms of the
Agreement, and will therefore be bound by it.
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