Data Governance in Data Mesh Infrastructures: the Saxo Bank Case Study

EasyChair Preprint no. 7150

Abstract

Data governance (DG) is the management of data in a manner that the value of data is maximised and data related risks are minimised. Three aspects of DG are data catalogue, data quality, and data ownership and these aim to provide transparency, foster trust, and manage access and control the data. DG solution involves change management and alignment of incentives and mere  technology is not enough to address this. In this paper we aim to provide a holistic view of data governance that is a synthesis of academic and practitioner viewpoints, and conclude by giving an example of a pilot case study (Saxo Bank) where authors worked on tech and cultural interventions to address the data governance challenges.

Keyphrases: change management and alignment of incentives, data related risks, Governance, Trust in Data

@Booklet{EasyChair:7150,
  author = {Divya Joshi and Sheetal Pratik and Madhu Podila},
  title = {Data Governance in Data Mesh Infrastructures: the Saxo Bank Case Study},
  howpublished = {EasyChair Preprint no. 7150},

  year = {EasyChair, 2021}}