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	System Development: A Set of Modules
	System Development: A Set of Modules

Course Outline and Objectives
Course Philosophy and Approach

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	10 days

Project leader, systems analyst/systems designer, data modeler (analyst), programmer analyst, or customer representative and anyone involved in system development.

Our instructors have extensive experience in applying these techniques on projects with business experts from a wide variety of fields.

PB Problem and Opportunity Definition
RD Requirements Definition
DM Modeling Data
DA Understanding (Using) the Business Data
DD Designing a Logical Data Model for the Application
DI Creating the Implementation (Physical) Data Model
PM Modeling Processes/Events
PA Understanding (Using) the Business Processes
D-PD Designing a Process Model for the Application
D-PI Creating the Implementation (Physical) Process Model

Our Modular System Development program delivers key competencies in the critical areas necessary to develop a system. Each module is approximately 1/2-day to 1-day long. Based on the target audience, participants can complete a 4 to 7-day curriculum or organizations can use selected modules to perform skill in-fill or skill tune-up.

The Foundation Modules of This Seminar

	represent the minimum skill-set for any system developer
	are based on the concept that a consistent approach for modeling is a critical success factor for successful projects
	wok for new system development enhancements or major revisions to existing systems
	represent the collective knowledge of 300 years of system analysis and design experience
	can be tailored to fit your exact needs


	Module Groups

	You select the modules from these groups to configure the training your staff needs. Each module can stand alone or be combined to create a custom program. Although the sequence of the modules is flexible, there are prerequisites for several of the more advanced topics. All modules are based on a common, off-the-shelf case study, but, it is also possible for participants to use their own current project as their case study! Ask us how.

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Course Outline and Objectives

Problem and Opportunity Definition
Module PB : Duration ~ 6 hours


	This module offers a set of techniques for defining either the problem that this system is attempting to solve, or the opportunities that this system is attempting to seize. It also includes benefit definition techniques based on successful problem solution or opportunity capture.

		Write Clear, Easy-To-Understand Problem Statements
		Identify the Difference Between a Problem and an Opportunity
		Identify the Difference Between Problems and Symptoms
		Associate Benefits with the Solution To a Problem Or the Capture of an Opportunity
		Extract Problem Statements From Written Documents
		Extract Problem Statements From an Interview
		Use a Problem Statement To Define Scope
		Interview For Problems and Associated Requirements

Requirements Definition
Module RD : Duration ~ 6 hours


	This module teaches the participant a set of techniques for creating clear and understandable requirements definition statements. In addition, it gives the participants a technique for evaluating their understanding of a requirements statement written by someone else.

		Decompose Requirements Sentences into the Five Types of Requirements
		Develop a List of Questions About the Previously Written Requirements For Use in Discussions with the Customer
		Write Clear, Unambiguous Requirements Sentences
		Identify Requirements That Can Be Prototyped
		Discuss Critical Requirements in the Client/Server Environment (Optional).
		Extract Requirements From the User's System Vision

Modeling Data
Module DM : Duration ~ 6 hours


	This module introduces the concepts of data modeling. It teaches the participant both an intuitive top-down approach to data modeling and a rigorous bottom-up approach (normalization). This module can be combined with DM3, Designing a Logical Data Model for the Application, to form a one-day data modeling program.

		Draw Data Model Diagrams
		Distribute the Data (Attributes) of the System To the Entities of the Data Model
		Identify and Define the Necessary Characteristics of an Attribute
		Construct a Data Model Based On Existing System Documentation

Understanding (Using) the Business Data
Module DA : Duration ~ 6 hours


	This module teaches the participant how to study the information needs of an existing system and how to present this information to other people.

		Analyze the User Views, (Screen, Reports) and Document How They Will Be Used
		Place Attributes Using the Normalization Test
		Define Attributes (Metadata Or Characteristics)

Designing a Logical Data Model
Module DD : Duration ~ 6 hours


	This module teaches the participant how to both create a data design from requirements and how to modify an existing data design for new data requirements.

		Create a Data Model From Requirements
		Modify an Existing Data Model Based On New Requirements
		Evaluate a Data Model For Full Normalization and Correctness
		Critique and Review an Existing Data Model
		Combine Data and Process Models into a Single, Consistent Model

Creating the Implementation Data Model
Module DI : Duration ~ 6 hours


	This module teaches the participant how to create a physical design using a logical data model. The end result is a data model de-normalized for optimum performance.

		Modify a Logical Design For Known Constraints
		Evaluate and Change a Design To Meet Performance Requirements
		Determine the Data Sources and Identify Conversion Projects
		Identify Alternative Implementation Structures
		Evaluate Alternative Implementation Structures
		Perform Transaction Analysis and Aggregate Transaction Demand
		De-Normalize the Model To Meet Real World Constraints

Modeling Processes/Events
Module PM : Duration ~ 6 hours


	This module will teach the participant how to construct process models, using both data flow diagramming techniques and process decomposition techniques. The course also examines the event-driven approach used in client/server to create process models.

		Draw Data Flow Diagrams
		Draw Process Decomposition Diagrams
		Draw Event/Response Diagrams
		Construct a Process Model of an Existing Situation

Understanding (Using) the Business Processes
Module PA : Duration ~ 6 hours


	This module teaches the participant how to study and analyze an existing system and how to present the information to other people. This is the first step in most business reengineering efforts.

		Identify the Potential Location of System Problems
		Analyze the System For Timing
		Identify the Exceptions Which the System Currently Handles
		Analyze the System For Potential Short-Term Or Quick Fixes
		Communicate the Operation of the Existing System To Non-Technical Personnel
		Create a List of New System Requirements Based On This Understanding

Designing a Process Model for the Application
Module D-PD : Duration ~ 6 hours


	This module teaches the participant how to create a process model for a new system and introduces three different techniques for starting the new system process model.

		Create a Process Model For a New System
		Balance the Data Flows in a Hierarchical Model
		Conserve Data As Inputs and Outputs of Each Process
		Create Local Data Stores Which Are Necessary and Sufficient To Support Each Process
		Combine Process and Data Models into a Single, Consistent Model (Optional)

Creating the Implementation Process Model
Module D-PI : Duration ~ 6 hours


	This module teaches the participant how to create an implementation (physical) process model. The end result is programs, human procedures, and the data structures necessary to support them.

		Modify a Logical Process Design For Known Constraints
		Evaluate and Change a Design To Meet Performance Requirements
		Design the Critical and Necessary Controls
		Determine the Data Sources and Identify Conversion Projects
		Use the Visible System To Control the Internal Structure of the System
		Identify Program Modules and Their Supporting Data Structures
		Identify Human Processes
		Develop Standard Operating Procedures For the Human Processes
		Combine Data and Process Models into a Single, Cohesive Model of the New System
		Ee-Normalize To Meet Real World Constraints

Visit our Business System Analyst Bookstore
for books on the topics covered in this seminar.

	Data Analysis ( Miscellaneous , Data Models , Data Normalization , Data Repository , Entity Relationship Diagrams )
	Methodologies ( Information Engineering , Miscellaneous , Structured System Development , System Development Life Cycle (SDLC) )
	Object Oriented ( Business Objects , Object Oriented Analysis , Object Oriented Design , Object Oriented Modeling , Object Oriented Testing , State Transition Diagrams , Unified Modeling Language (UML) , Use Cases )
	Process Analysis ( Data Flow Diagrams , Decision Tables , Event Response Diagrams , Flowcharts , Miscellaneous , Process Models )
	Requirements ( Business Rules , Prototyping , Miscellaneous , Requirements Analysis , Requirements Definition , Requirements Documentation , Requirements Elicitation , Requirements Engineering , Requirements Management , Requirements Traceability , System Specifications , User Interfaces )
	Test Management ( Defect Tracking , Miscellaneous , Test Planning , Testing Methodologies , Testing Tools , Validation & Verification )
	Testing Techniques ( Black Box Testing , Object Oriented Testing , Regression Testing , Test Cases , Test Data Engineering , Walkthroughs , White Box Testing )
	Usability Engineering ( Prototyping , Task Analysis , Miscellaneous , Usability Testing , User Interfaces )
	Working in Teams ( Conducting Meetings , Facilitation , JAD , Rapid Application Development (RAD) , Miscellaneous )
	CASE
	Interviewing Techniques
	Problem Analysis

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