A Model for Data Governance - Organising Accountabilities for Data Quality Management

Abstract

Enterprises need data quality management (DQM) that combines business-driven and technical perspectives to respond to strategic and operational challenges that demand high-quality corporate data. Hitherto, companies have assigned accountabilities for DQM mostly to IT departments. They have thereby ignored the organisational issues that are critical to the success of DQM. With data governance, however, companies implement corporate-wide accountabilities for DQM that encompass professionals from business and IT. This paper outlines a data governance model comprised of three components. Data quality roles, decision areas and responsibilities build a matrix, comparable to a RACI chart. The data governance model documents the data quality roles and their type of interaction with DQM activities. Companies can structure their company-specific data governance model based on these findings.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 84 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.