Approaching its IPO, a leading technology unicorn was challenged with limited trust in data accuracy, eroding the ability of leaders to confidently characterize the performance of the business. As a consequence of rapid growth to global scale, internal data systems grew up in siloes, aligned with the different functional areas of the business, with no centralized data governance process or data architecture.
The lack of governance in the company’s data model allowed anyone in the business to instantiate or redefine key metrics, but this meant it lacked a clear audit trail to track adherence to standard business definitions, evolution of metrics over time, and computational efficiency and accuracy. They needed to be able to manage and communicate their business performance with clear confidence and limited manual effort—this required data clean-up, metric certification, and the establishment of repeatable processes and scalable architecture.
With Accenture’s help, this company has rearchitected its data pipelines using a fully relational, as-a-service Snowflake data warehouse with a robust data governance organization on top. Snowflake provided the ability to scale up and down, automatically and on the fly, providing the exact performance needed, at the time needed.