Sustainability

Ensure that the whole solution is reviewed and reassessed in an agreed timeline

Definition:

Sustainability is a crucial aspects of a data governance strategy due to the ever-evolving nature of technology, business landscapes, and regulatory environments. Integrating sustainability and future-proofing principles ensures that the data governance strategy remains relevant, effective, and adaptable over the long term.

  • Technological Advancements: Technology evolves rapidly, and new tools and platforms emerge. A sustainable data governance strategy considers these advancements and ensures that the framework can seamlessly integrate new technologies without major disruptions.
  • Data Growth: Data volumes continue to grow exponentially. A future-proof strategy anticipates this growth and provides mechanisms to accommodate increasing data sources, formats, and volumes.
  • Changing Data Landscape: Data sources and types change over time. Sustainability in data governance means being prepared for these changes and having mechanisms in place to manage new data types effectively.
  • Regulatory and Compliance Changes: Regulations and compliance in the North Sea Oil and Gas sector are subject to change. A sustainable strategy ensures that data governance practices can be adjusted to align with new regulatory requirements.
  • Business Expansion and Transformation: As organisations expand or undergo transformations, data governance must adapt. A future-proof strategy considers various business scenarios and ensures that data governance supports growth, acquisitions, and changes in business models.
  • Data Integration and Interoperability: Sustainable data governance considers the need for data integration and interoperability across different systems, departments, and even potential collaborations with external partners.
  • Data Quality and Accuracy: Ensuring data quality over time requires continuous monitoring and improvement. A sustainable strategy includes mechanisms to maintain and enhance data quality as new data is generated and ingested.