Dark data poses potentially significant risks and costs for organisations. Additionally, with an increasing focus on ESG reporting, organisations should be considering how they can measure and report on each element of ESG with respect to data being collected, generated, used and stored. This article by Susan Bennett considers the often-overlooked energy costs of storing data, particularly as we move into the age of AI, together with the risks for organisations arising from increasing privacy and cyber security regulatory requirements. The regulatory enforcement focus on data minimisation, requires organisations to implement active data disposal and regulatory requirements to implement adequate systems and processes to protect and secure data and information. This means more than ever that organisations need to be proactive in implementing robust information and data governance and measuring the ESG of data. The problem of dark data Dark data is data that is collected or generated and then […]