Transforming the large volumes of raw data that metro operators collect into actionable intelligence is a challenging task, yet critical to enhance operations, improve customer service, and develop effective future strategies. To overcome these challenges, good data governance is needed to support data management, enable informed decision-making, and ultimately improve overall performance.
Data governance mainly focuses on data-driven decision making and provides a framework for managing data throughout its lifecycle, ensuring its quality, security, privacy, and effective utilisation. It aims to assist organisations in deriving maximum value from their data assets while minimising risks and complying with legal and regulatory requirements.
The study details three main aspects of data governance (organisation, technical, and business) and presents a data governance roadmap along with metros’ best practices.