Logical Conclusions Inc.
Course Outline:
The Goals and Context of Information Analysis
The many ways to view an Organization
Information Analysis Applicability
Definitions of Key Terms
Overall Goal of Business Information Analysis
Supplemental Goals for Information Analysis
Information Analysis Context
The Organization Context
Data versus Metadata
Why we need Data Stores
The Information Model's content sources
Removing old Designer/Convenience Files
 Seeing through existing File Design
 Capturing Data Access needs
Discovering Essential Information
Events and Events Types
The Concept of Events
What is an Event in the Business World?
The three types of Events that form the Business Model
Event types that are not part of the Business Model
What's an Event Rection?
Creating Essential Files via Events
The Best source for our information Model
Overview of Information Analysis
Definition of an Information Model
Two types of Information Models
Components of an Information Specification
Definition and Sample of an Entity Specification
Definition and Sample of a Relationship Specification
Definition and Sample of a Data Element Specification
Progressive Information Modeling
Analysis of Entities
Definition of an Enity
How we form Entities
Rules for validating Entity-Types
Discerning an Entity-Type and Entity Occurrences
Discovering Entities
The Non-Redundant Entity Concept
A sample Entity Specification
The Different Types of Entities
Independent versus Dependent Enitites
Associative Enitits
Super/type Entities
Supertype/Subtype verification test Supertype/Subtype Business Data Rules
Super/type/Subtype Business Data Rules example
Implementation issues for Supertype/Subtypes
Analysis of Relationships
Definition of Normalization
First Form Normalization
Second Form Normalization
Third Form Normalization
Forming an ERD from Third Form Normalization
The benefits and Limitations of Normalization
Data Integrity across the Organization
A Logical Conclusion for the Organization
Components of the Organization's Architecture
Evolutionary Development of the Organization
Benefits of Information Analysis
Meeting our Information Analysis goals
Results of Information Analysis
Some closing remarks
Analysis of Data Elements
Definition of a Relationship
Modeling Meaningful Relationships
Discovering Business Reltionships
Naming Relationships
Representing Relationship Cardinality
Relationship Type and Occurrences
Eliminating Data Redundancy through Relahionships
Relationship Connection Rules
Capturing Compound Relationships
A sample Relationship Specification
Definition of a Data Element
Discovering Data Elements
A Data Element Naming Standard
Data Element Format, Content/Domain
A Sample Data Element Specification
Accomplishing Data Integrity
The Event/Data Element Matrix
The Event/Enity Matrix
The Event/Relationship Matrix
Example of an Event/Data Element Matrix
Access Path Analysis
The Access Path Analysis Procedure
Sources for an Access Path Diagram
Example of an Access Path Diagram
Implementing the information Model
Example of Implemented Files and Processes
The Beginnings of Design
Data Normalzation
Overview of Process Analysis
Event Driven Information Analysis
Course Description:
This tutorial is intended to give you a detailed knowledge of Business Information Analysis and its result - a Business Information Model with support specifications. It shows you how to capture the Essential Business Information in an organization.
The emphasis is on the gathering and specifying of information requirements for static data (i.e., stored data) and their relationships.
 
As data is typically utilized across an organizationís manual and computer systems, this data analysis effort is a critical task for any organization.
The inability to specify an organization-wide set of data and their relationships can lead to mass redundancy of data and unsynchronized information as well as dead data (gathered and updated, but not used). This is regardless of any latest database implementation or stringent manual procedures.

Business Information Analysis draws heavily on graphical as well as textual documentation (models) to assist in gathering critical information requirements. Two widely accepted and applicable models for Information Analysis are Entity Relationship Diagrams and Data Models which graphically represent an organizationís stored data as Entities (cohesive groupings of facts), Relationships (associations between Entities), and Data Elements (business facts).

This tutorial uses many real world examples to show the importance of deriving a logical view of Information and their Relationships in an organization. This logical view removes any old design characteristics for manual and computer files that may be in place today so that they do not corrupt the new design of stored data.
The resultant Business Information Specification will flow naturally into the Enterprise/Organization Information Model and on into database and manual file design.

The methodology presented in this tutorial can be used to analyze any size organization.

Business Information Analysis

BIA Pracitioner's Tutorial
This online video tutorial teaches you detailed skills for gathering and specifying an organization's Business Information Requirements (i.e. stored data and their relationships). Learn how to produce a Business Information Model with support specifications for your organization using practical in-depth examples and graphics.
      Business Information Analysis
          BIA Practitioner's Course
Approx. 3.5 hours online streaming Video MP4 Format
$199.00
Single user version
Contact us for Corporate Licensing
The Complete Practitioner's Course Includes:
 Online Video Course
Course slides/notes (PDF)
Buy Now:
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Watch, Learn, Practice and Apply.
Contact Logical Conclusions Inc.:
Link to our other video website:
Email: talk2us@LogicalConclusionsInc.com
www.BusinessAnalysisVideos.com
808 450-2849
Logical Conclusions Inc.
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Course outline and description
A High level Process view of an Organization
Capturing the Six Components of each Event
Typical Symbols used for Process modeling
The best way to produce a Process Model
 
The need for two Analysis Models
Data Conservation via Event Reactions
Exposing Essential Stores via Event Reactions
Progressive Modeling with Event Reactions
Order of Process and Information Modeling
Verifying Process Analysis Stores
Forming the Organization's Information Model
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Mini Courses available from this Course
Some sections in this course can be purchased separately as Mini courses. See sections below.
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