Growth Stack Data Architecture Implementation Guide

This guide outlines the Growth Stack, which is the second data stack architecture in the Data Maturity Journey, designed to assist data teams in developing a practical customer data stack for various phases of data maturity. The Growth Stack builds upon the foundational Starter Stack by introducing bi-directional data flows and a centralized data storage layer, addressing issues related to data silos and incomplete customer profiles. It emphasizes the importance of unifying customer data points to enable advanced optimization and reporting. The document details the symptoms indicating the need for a Growth Stack implementation, including challenges faced by teams in accessing and analyzing data across different tools. It also highlights the necessity of a centralized data store for comprehensive analysis and the activation of data for downstream tools. The guide serves as a resource for organizations aiming to enhance their data architecture to support more complex data needs and improve overall data-driven decision-making.