Electricity suppliers are putting money into condition monitoring and data analytics so that they can foresee equipment failure rather than having to respond to it. Although there is a great deal of
technical literature available on sensing, analytics and modelling, there is much less advice concerning how to handle such investments as projects and programmes that require changes to
decisions, working practices and organisational habits. This article puts forward a programme and project management framework for implementing predictive analytics initiatives in electricity
suppliers. At the project level, the framework consists of five phases (align and prioritise, prepare the data and sensing, develop and validate, integrate and deploy, and operate and scale), each phase being concluded by a stage gate which poses a specific question. At the programme level, a coordinating layer oversees a series of projects, the shared capabilities and the benefits across
different types of equipment. Six cross-cutting disciplines apply to both levels. The framework is based on recent reviews of the technical field, a recent study into predictive analytics for substation equipment, ISO 21502:2020 on project management, ISO 21503:2022 on programme management and the PMBOK Guide, Seventh Edition. It is a conceptual framework and has not yet been tested empirically. Its aim is to provide sponsors, programme managers, project managers and engineers with a common structure for planning, governing and maintaining such initiatives.