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COURSE Title: RAPID DATA DEVELOPMENT (RADD):
Conducting Rapid Data Modeling Workshops for Quality Data Models
Why This Course?

Reducing time to market is no longer an optional objective for all business activities.  The challenge is how to meet ever decreasing time windows without compromising quality of data models.  The answer is to apply workable techniques as applied in eXtreme Programming without acquiescing to its weaknesses.

 

RApid Data Development (RADD2TM ) approach to developing data models is a major tool for Information resource management in the Data Analysis and Modeling process.  It applies the principles of Quality Function Deployment (QFD) to data model development.  QFD is the active involvement of the customer in product design.  Here knowledge workers, as information customers actively "design" the enterprise information products.

 

Benefits include reducing the time required for the modeling process; increasing communications among information systems and business professionals, and enhancing the value and shareability of the resulting data models. 

 

This seminar presents the Who, What, When, Where, and How of conducting effective Rapid Data Development modeling workshops.  You learn techniques for rapid development of conceptual data models.  Highlights include tips on how to avoid pitfalls, how to minimize the risk of an incomplete model, how to validate the data model, and how to incorporate modeling tools and other support tools.

 

You learn how to resolve conflicts over data definition, and how to bridge communication gaps among cross-business area knowledge workers, systems development staff and information resource management to achieve consensus in data model definition.

 

You learn how to incorporate RADD workshops along with JAD (Joint Application Development) and RAD (Rapid Application Development) workshops to expedite the Information Systems development process.

 

In this seminar you learn the deliverables of the RADD data modeling workshop and how to manage the documentation process.  You learn what skills are required of the workshop facilitator.  Seminar participants will receive a self-assessment instrument to assist in understanding facilitator profiles. 

 

You learn the techniques, group dynamics and the process of conducting a workshop approach to developing data models.  This seminar includes a role-playing case study in which seminar attendees will participate in and evaluate the data modeling workshop process. 

Learning Outcomes:

Upon completion of this seminar, you will be able to:

  • Define the objectives, tasks, and deliverables of a Rapid Data Development workshop
  • Describe the similarities and differences between eXtreme Programming and eXtreme Data Development
  • List the advantages and risks of an RADD workshop approach
  • Identify the skills required of the facilitator of an RADD workshop
  • Identify the steps to organize and schedule an RADD workshop
  • Describe the group dynamics involved in defining data requirements across functional boundaries
  • List the components of quality data definitions
  • Identify the factors required for successful RADD workshops
  • Actively engage the information customers in the design of their information products
Audience: Information and data resource management staff, systems analysts, systems designers, and knowledge workers (business professionals) involved in data modeling projects
Format: Lecture with exercises and case study to reinforce the concepts.
Duration: 2 Days
Pre-requisites: Completed Conceptual Data Modeling seminar or its equivalent
Abstract:

ABSTRACT: Reducing time to market is no longer an optional objective for all business activities.  The challenge is how to meet ever decreasing time windows without compromising quality of data models.  The answer is to apply workable techniques as applied in eXtreme Programming without acquiescing to its weaknesses.

 RApid Data Development (RADD2TM ) approach to developing data models is a major tool for Information resource management in the Data Analysis and Modeling process.  It applies the principles of Quality Function Deployment (QFD) to data model development.  QFD is the active involvement of the customer in product design.  Here knowledge workers, as information customers actively "design" the enterprise information products.

 

Benefits include reducing the time required for the modeling process; increasing communications among information systems and business professionals, and enhancing the value and shareability of the resulting data models. 

 

This seminar presents the Who, What, When, Where, and How of conducting effective Rapid Data Development modeling workshops.  You learn techniques for rapid development of conceptual data models.  Highlights include tips on how to avoid pitfalls, how to minimize the risk of an incomplete model, how to validate the data model, and how to incorporate modeling tools and other support tools.

 

You learn how to resolve conflicts over data definition, and how to bridge communication gaps among cross-business area knowledge workers, systems development staff and information resource management to achieve consensus in data model definition.

 

You learn how to incorporate RADD workshops along with JAD (Joint Application Development) and RAD (Rapid Application Development) workshops to expedite the Information Systems development process.

 

In this seminar you learn the deliverables of the RADD data modeling workshop and how to manage the documentation process.  You learn what skills are required of the workshop facilitator.  Seminar participants will receive a self-assessment instrument to assist in understanding facilitator profiles. 

 

You learn the techniques, group dynamics and the process of conducting a workshop approach to developing data models.  This seminar includes a role-playing case study in which seminar attendees will participate in and evaluate the data modeling workshop process. 

Introduction to Rapid Data Development (RADD) Data Modeling Objectives and Pitfalls
  • Business objectives and data modeling
  • Problems with traditional data modeling approaches
  • Quality Function Deployment (QFD) as a data modeling technique
  • Designing information products with the information customers
  • Benefits of an intensive data modeling workshop approach
Rapid Data Development Workshop-Objectives and Tasks
  • Balancing process-driven development and value-centric development
  • Objectives-driven data modeling
  • Achieving consensus in data models
  • Achieving rapid data development
Rapid Data Development Deliverables
  • RADD Workshop "scope"
  • Handling issues
  • Documenting the RADD Deliverables
  • Using modeling tools to support the RADD
Planning the RADD Workshop
  • Data modeling by subject area
  • RADD tasks and inputs
RADD Roles and Responsibilities
  • The RADD team: identifying the right participants
  • Acquiring support for RADD workshops
  • The RADD participant orientation session
Facilitating the RADD Workshop
  • Characteristics of a good facilitator
  • Managing the agenda, expectations, and conflicts
  • Full group and break out team session dynamics
  • Identifying the "real" requirements
  • Knowledge worker-friendly questions for normalization
  • Keeping the workshop focused
  • Data model results and quality assurance
RADD Workshop Case Study
  • Case study preparation
  • Case study role playing
  • Case study feed back
RADD Workshop Closure and Next Steps
  • Concluding the RADD workshop
  • Post RADD tasks
  • Communicating RADD results
  • Merging data models from multiple RADD workshops
Assuring Success
  • Potential pitfalls and critical success factors in RADD data model development

 


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