Data-Driven Value Flywheel: Building a Data Ecosystem

In today's competitive landscape, data-driven decision-making is paramount. This article introduces a "Data Value Flywheel" model, a four-phase process (clarity of purpose, challenge and landscape, next best action, long-term value) for building a data ecosystem to achieve sustained growth driven by data. The model emphasizes collaboration between data and business teams, using a data factory as the core engine to ensure the free flow and effective utilization of data within the organization, ultimately achieving continuous business value growth.