This course will available in video format in the future.
The Goals and Context of Business Information Analysis
Events and the Essence of Every Organization
Dis-Covering the Organizations
Why do we need to Store Data?
The Need for Organization Models
Overview of Business Information Analysis
Workshop Exercise 1 From the case-study produce a Process Model of the Maintain Inventory department.
The Rich Flavors of Entities
Analysis of Entity Relationships
Workshop Exercise 2 From the case-study Identify external Event
Types and produce a Context Diagram.
Analysis of Data Elements
Workshop Exercise 3 From the case study produce
an Event partitioned Process Model of the Accounts department.
Normalization Bottom-Up Information Analysis
Exercise 4 From the case-study produce a Process Model of the Sales department.
Event Context and Event Types
for Process Analysis
Event Driven Information Analysis
Workshop Exercise 5 From the case-study produce a Data Dictionary
definition from an Order Form.
Workshop Exercise 6 From the case-study produce a business policy Process Specification for
a major process.
The Beginnings of Design
Workshop Exercise 7 Develop a sample design Access Path Diagram for the
A Logical Conclusion for the Organization
Onsite Business Information Analysis Workshop
Corporate BIA Seminar (4 days)
As data is typically global (i.e., used across systems), the data analysis effort is a critical task for the success of any organization. The models and support specifications that result from Information Analysis are crucial to the overall 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.
Communication between the Business Policy/Data Owners and the Analyst is obviously most critical during the analysis stage. Business Information Analysis draws heavily on graphical as well as textual documentation (models) to assist in this critical requirements gathering activity.
Two widely accepted and applicable models for Information Analysis are Entity Relationship Diagrams and Data Models which graphically represent an organization's stored data as Entities (cohesive groupings of facts), Relationships (associations between Entities), and Data Elements (business facts).
For validation of the analysis Information Specification, this seminar presents its contents in an unambiguous, non-technical, jargon free manner. It uses workshops and a real life case study to show the importance of deriving a logical view of Data and their Relationships in an organization. This logical view removes any design characteristics of such things as folders, file cabinets, rolodexes, shelves, etc. and sequential files, network/hierarchical/relational databases, mass storage devices, etc. that may be in place today so that they do not corrupt the new design of stored data.
The major focus of logical modeling is to derive an Event Driven Information Model that reflects the most customer-oriented, stable, and maintainable view of the business data. This Information Model will flow naturally into the Organization's Information Model and on into database and manual file design.
Business Information Analysis (BIA)
BIA Workshop Tutorial
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Logical Conclusions Inc.
Logical Conclusions Inc.