Data Excellence

This book provides a powerful, intuitive methodology on how to approach data leadership in a way that will steer organizations to deliver effective, improved and sustained data performance in the era of AI. Data Excellence shows how data leaders can strategize and deliver effective data capabilities, value generation and performance for their organization. Both strategic and tactical, it positions data leaders as personal trainers responsible for preparing and coaching their organization to professional excellence and capabilities through a long-term sustainable performance plan that futureproofs an organization in the face of the challenges of AI. It covers the three key pillars organizations must address to achieve data excellence: culture change, improving the way change is done and generating, measuring and sustaining data value for the organization. This book walks readers through key tasks and components such as data fitness assessments, data risks and control environments, data productization, data debt evaluation and interlocking with control functions. It offers exercises to test data performance, such as strategic initiatives independency analysis, addressing data use cases end to end and perfecting the cost benefit analysis of a data programme.