PROJECT HISTORY
The challenge
A compatible business analytics platform to support the creation of a five-year business plan.
Scottish Power
Optimizing asset investment through business analytics
The solution
Enterprise Decision Analytics will include a range of constraints and objectives to help understand the impact of different decisions.
The impact
Significant decrease in maintenance costs and increased efficiency on strategic efforts.
25-35%
cost efficiencies
20%
overall spending reduction
The challenge
Scottish Power was in search of an asset investment planning solution equipped with comprehensive decision analytics capabilities to support the creation of its business plan for the next price control period (RIIO-ED2) which runs over five years, from 2023 to 2028. They selected Arcadis’s Enterprise Decision Analytics (EDA), a world-leading business analytics platform, built to provide insights into your assets and enable data-driven decisions.
With limited visibility on the impact of certain business decisions, the energy group needed to implement a system that would give them more control over both their assets and future performance.
The solution
For RIIO-ED2, Scottish Power Networks will determine the optimal intervention portfolio to deliver value for money for customers. Working closely with our experts to deploy the EDA platform, a range of constraints and objectives were utilized to help the client understand the impact of different decisions and different constraints on network decision making.
The solution incorporated a decision-making framework against which investments can be scored, a risk register to identify pre- and post- risk of investments, a workflow to progress investment requests through various stages, and a configurable prioritization framework across various asset of business portfolios.
The impact
EDA was deployed to support across a portfolio of investments of approx. $300 million. Thanks to the insights and analytics gathered from the platform, Scottish Power was able to see cost efficiencies of up to 35% which equals to approx. $100 million, and also so substantial reduction in planning and reporting times.
