Summary
This document is a technical report that outlines the Analytics Development Life Cycle (ADLC), focusing on the principles necessary for a mature analytics workflow. The author discusses the evolution of analytics practices and emphasizes the need for integrating software engineering best practices into the analytics process. The report identifies key components of a mature analytics workflow, including scalability, collaboration, accessibility, velocity, correctness, auditability, governance, criticality, reliability, and resilience. It highlights the roles of three primary personas involved in the ADLC: the Engineer, the Analyst, and the Decision-Maker, and stresses the importance of collaboration among these roles. The report also addresses common challenges faced in analytics practices and proposes the ADLC as a structured approach to enhance data maturity and streamline analytics processes. The document concludes with a call for organizations to adopt the ADLC framework to improve their analytics capabilities and decision-making processes.
