Abstract

This study explores the near intersection of product management and data governance to increase user confidence in the enterprise data platforms. As companies move towards more decentralized data structures, the governance as compliance-only approach to governance has frequently not been able to lead to adoption. This paper suggests a product-based approach in which data is seen as a quality resource that has specific service level goals. A longitudinal study was carried out to prove this approach, where 365 daily instances of platform performance measures (based on metadata completeness, lineage accuracy, and user sentiment scores) were used based on a synthetic dataset. Python was used to simulate and visualize data used in this analysis, as well as sophisticated analytical modelling to establish the relationship between the rigor of governance and the use of platforms. The results indicate that data reliability is enhanced tremendously when the governance is part of the product lifecycle as opposed to it being an external check. Using the results of the study, it can be concluded that the product-led system of governance helps reduce the deficit of trust in large-scale systems, thus contributing to quicker decision-making and greater ROI of the data.

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