Detailing Business Data Requirements

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Detailing Business Data Requirements
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Introduction

“If we have data, let’s look at data. If all we have are opinions, let’s go with mine.” – Jim Barksdale

Missing a critical piece of data or incorrectly defining a data element contributes to poor decision-making, software 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.

Even if your organization has a data administrator or data warehouse team who is responsible for documenting and managing the organization’s information needs, every project uses a subset of that enterprise information in its own unique way. Business analysts must understand the importance of data in all of their projects and include data requirements in their business requirements documentation. Failing to document which data elements need to be used in a calculation, or displayed on a report, leaves the developer the responsibility of choosing the correct pieces of business data from hundreds if not thousands of available fields. These missing requirements often lead to expensive and lengthy project delays during the testing phase.

Objectives

  • Learn to scope the business data needs of a business area, project, or system.
  • 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).
  • 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.
  • Learn to tell a story with your data using storyboarding and visualization techniques via charts and graphs.

Student Profile

This course is designed for business analysts, project managers, systems analysts, data administrators, database administrators, or any other project team member practicing business analysis. This course may also be appropriate for individuals who manage or mentor business analysts.

Prerequisites

We recommend that students first attend our Essential Skills for Business Analysis class or have experience in project scope definition, gathering requirements from subject matter experts, and understand how business requirements fit into the entire systems development effort.

Course Materials

Each student will receive a copy of the course documentation prepared by Netmind.

Methodology

Engaging and interactive course. Our instructors teach all course materials using the demonstrative method; the participants learn new concepts through exercises and real application practices.

This course teaches students an in-depth approach to business data analysis: identifying and defining all necessary data components using both a visualization of business data and textual templates. The culmination of the course provides students with the tools and techniques of data story-telling, which is key to the success of data analytics.

It also 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 business rules are enforced by or govern data.

Students will be given data templates with a suggested documentation structure for defining Business Data Requirements. It supports and expands on the techniques in the IIBA BABOK® Guide and the International Requirements Engineering Board (IREB). Mentor-led workshops require students to practice the techniques as they learn. Students are encouraged to bring their own projects to class.

Accreditation

A certificate of attendance will be issued to students who attend the course for at least 75% of the duration.

Certification

This course is included in our Business Analysis Certification Program. By attending this course, students earn credit towards the BA Associate and BA Certified certifications, as well as credit towards the Data Analysis Badge.

Additionally, students will earn 21 credit hours for their attendance.

Course Outline

  1. Introduction
    1. What is business data and how do data requirements support your project solution?
    2. What is a data model and why is it important to the business?
    3. How to scope the business data required for a business area, project, or system.
  2. Entities and Attributes
    1. Learn how business data requirements are displayed in an entity relationship diagram.
    2. Detect the business rules of data by identifying key relationships between entities.
    3. Learn relationship cardinalities and understand their impact on your solution functionality.
    4. Workshop to identify and detail entity relationships. Create a logical entity relationship diagram that accurately reflects the business domain.
  3. Entity Relationships and Diagramming Conventions
    1. Learn how business data requirements are displayed in an entity relationship diagram.
    2. Detect the business rules of data by identifying key relationships between entities.
    3. Learn relationship cardinalities and understand their impact on your solution functionality.
    4. Workshop to identify and detail entity relationships. Create a logical entity relationship diagram that accurately reflects the business domain.
  4. Detailing the Data Requirements
    1. Learn various techniques for honing your data diagram for flexibility and completeness.
    2. Review techniques for documenting data conversion requirements, interface requirements and performing gap analysis.
    3. Workshop to refine and update the entity relationship diagram to reflect newly discovered data requirements.
  5. Transition from Business Data to a Physical Design
    1. Learn how to verify your data model to identify missing or incomplete requirements.
    2. Learn how business data transitions into a database design.
  6. Workshop – Identify and document complete data requirements for a new case study or student real project
    1. Build a business data model using the concepts learned in class 
  7. Data Storytelling
    1. Understand the concept of context around data
    2. Learn to distinguish between exploratory and explanatory data analysis
    3. Learn how to capture attention and focus your intent with data
    4. Review the basic types of charts and graphs that most effectively tell your story
    5. Workshop to practice telling a story with data using a case study or your real data

Public Classes

Currently, we don't have any public sessions of this course scheduled. Please let us know if you are interested in adding a session.

See Public Class Schedule

Course Details

Reference

JIS 403

Duration

3 days

Delivery Mode

Virtual, Face-to-Face

Certification

BA Certified
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