Missing a critical piece of data or incorrectly defining a data element contributes to the majority of maintenance problems and results in systems that do not reflect or support the business needs. Business users often fail to articulate their business data needs because they are so inherent in their work that it is difficult to uniquely identify each data requirement. A business analyst, skilled in data elicitation and definition, can save the business significant time and cost for any project.
This course teaches students an in-depth approach to data modeling: identifying and defining all necessary data components using both textual templates and an entity relationship diagram. This course teaches business analysis techniques for eliciting, analyzing, and documenting data requirements to both new and experienced practitioners. Additionally, this class will tie together other analysis techniques by highlighting the impact of data on the other core requirement components. Eliciting information needs often uncovers additional processes and business rules. Every business process uses data and almost all business rules are enforced by or govern data.
PMP, PMI-ACP, PMI-RMP, PMBOK, and the PMI Registered Education Provider logo are registered marks of the Project Management Institute, Inc.
Your Price: $1,995.00
Day & Time
We recommend that the Business Analyst has already attended our Essential Skills for Business Analysis class or have equivalent experience before enrolling for this course.
Provided by Solarity
Who should take this course
This course is designed for experienced, knowledgeable business analysts involved with requirements elicitation and analysis. Students are expected to understand the purpose of business and functional requirements.
- Identify core data requirements beginning with project initiation
- Identify relationships between data elements and their impact on the business
- Identify excellent data requirements at the appropriate level of detail
- Detail the data requirements (using a data dictionary and data model)
- Detail complex data related business rules
- Use data requirements to verify and communicate a more complete understanding of the business domain
- Assist with the transition of business data to database design
- Utilize easy normalization techniques (without all the mathematical theory)
- Validate data requirements with activity (process or use case) requirements