Implementing an Effective and Repeatable Approach for Capturing Data Analytics System Requirements
Implement an effective, consistent, and repeatable strategy for documenting data analytics workflows and capturing system requirements
An updated and expanded version of this post is now available.
Introduction
Successful consultants, project managers, and product owners use well-proven and systematic approaches to achieve desired outcomes, including successful customer engagements, project results, and product and service launches. Modern data stacks and analytics workflows are increasingly complex. This technology-agnostic discovery process aims to help an organization efficiently and repeatably capture a concise record of existing analytics workflows, business and technical goals and constraints, and measures of success. If applicable, the discovery process is used to compile and clarify requirements for new data analytics workflows.
Analytics Workflow Stages
There are many patterns organizations use to delineate the stages of their analytics workflows. This process utilizes six stages of a typical analytics workflow:
- Generate: All the ways data is generated and the systems of record where it is stored or originates from, also referred to as data ingress
- Collect: All the ways…
