User Stories (DRM)
User stories for a data readiness methodology are concise, user-focused descriptions of specific requirements or functionalities related to preparing data for a particular purpose or system. In the context of data readiness methodology, user stories help define the needs, expectations, and goals of different stakeholders involved in the data preparation process.
User stories typically follow a simple template: "As a [role], I want [goal] so that [benefit]." They emphasize the end user's perspective and capture the essence of what needs to be accomplished. Each user story represents a specific user or stakeholder and their desired outcome.
For example, a user story for a data readiness methodology could be: "As a data analyst, I want automated data profiling capabilities to identify data quality issues and anomalies, so that I can ensure accurate and reliable insights for analysis."
By breaking down the data readiness requirements into user stories, the methodology can be effectively communicated, and development efforts can be organized around meeting the needs of different users and stakeholders.
User Stories by DRM Epics:
All of the user stories in data readiness methodology are separated into our three epics:
Identification | Availability | Quality |
---|---|---|
| 5. Identify and Mitigate Data Delivery Risks ​ | 13. Communicate Data Element Definitions​ |
2. Identify Business Process Owners | 6. Establish and Maintain the Data Delivery Timeline ​ | 14. Define the Data Quality Check process​ |
3. Identify Systems | 10. Integration: Determine Data Integration Design​ | 15. Perform Data Quality Check (Iterative)​ |
4. Identify System/Data Owners | 12. Modeling: Provide Sample Data (Iterative)​ |  |
7. Scoping: Identify Critical Business Process Data Elements | Â | Â |
8. Scoping: Complete Data Entity Definition ​ |  |  |
9. Integration: Identify and review data integration and security standards ​ |  |  |
11. Modeling: Complete Data Specification Document​ |  |  |
Â