Head of Transformation Programme
12:30 PM Case study: Implementing the SAFe scaled Agile framework to deliver a data-driven, predictive approach to asset management
National Grid’s gas network comprises 7,660 kilometres of high-pressure pipe and 618 above-ground installations. Whilst operating a safe, reliable network with expert engineers, National Grid gas has its challenges; the majority of assets are past their predicted asset life, systems of record have been kept locally on site, project costing has been inconsistent and resources are not optimally deployed. Now, following a major data collection and enterprise asset management system upgrade project, National Grid has the capability to store and analyse its data centrally, moving towards utilising predictive maintenance techniques that will ultimately deliver a better service to the end customer, with a goal of saving the organisation circa £9m in operational costs over the next three years.
The challenge: to overcome the resistance of engineering and technical colleagues to move to an asset management mindset through the flexible delivery of a user friendly system using the SAFe Agile methodology, simultaneously creating a shift in mind set toward ‘cost, risk, performance’ goals, and the new ways of working that will underpin this new target operating model.
You will learn:
- A practical model for applying the SAFe scaled Agile approach within a digital transformation
- What National Grid has learned from its failures throughout its regular “inspect and adapt” sessions
- How the business is integrating long-term planning into its operational strategies, working toward the energy networks of the future