Why is the demand for digital resilience in the energy sector rising?
The escalating demand for electricity is fundamentally reshaping the digital requirements of energy providers. While much attention is paid to the physical grid, the digital infrastructure—comprising ERP, finance, procurement, HR, and customer systems—is equally vital to keeping the business operational. The surge in electricity consumption is driven by several factors: artificial intelligence, electric vehicles, heat pumps, and the expansion of locally generated renewable energy. As of May 2026, data centers accounted for 6% of the electricity supply in both the UK and the US, requiring 40% more energy than initially projected.
For energy companies, digital systems are not just administrative tools; they are essential components of critical infrastructure. Regulatory obligations remain in effect throughout any IT transformation, meaning that a system outage is not merely an inconvenience but a potential breach of duty. Consequently, downtime must be a primary consideration from the very beginning of a migration project, rather than an obstacle to be managed at the final stage.
How does legacy technology complicate energy sector migrations?
Energy providers often struggle with cumbersome legacy technology estates that have accumulated over decades through acquisitions, divestments, and short-term technical fixes. This results in a complex web of heavily customized platforms, undocumented dependencies, and duplicated records. Moving these systems requires more than just a 'lift and shift' approach, which risks migrating the same complexities into a new, more expensive environment.
The scale of this data challenge is exemplified by the National Grid. One of its primary S/4 systems contains approximately 1.9 terabytes of data, excluding its legacy ECC and HR environments or two decades of financial records. Furthermore, the National Grid has undergone three divestments in the last six years, meaning its data estate is constantly shifting alongside its corporate structure. To modernize effectively, providers must distinguish between data that requires immediate access, data held for regulatory reasons, and data that can be archived or removed.
The danger of the 'lift and shift' approach
A common mistake in large-scale migrations is attempting to move the existing environment into a new cloud or platform without prior cleansing. This approach fails to address the underlying issues of data bloat and system complexity. Without a clear view of what the business truly depends on, companies risk recreating yesterday's problems in a modern setting, essentially paying more for the same operational inefficiencies.
What are the regulatory implications for energy data management?
Data governance has moved from an operational preference to a regulatory necessity. In January 2026, Ofgem expanded its Data Best Practice framework across industry codes, mandating that energy providers understand, structure, and manage their data consistently. The framework emphasizes that data should be governed based on its inherent value rather than being allowed to accumulate indefinitely.
Effective migration requires separating operational data from historical data. While completed transactions and technical logs may no longer hold daily value, they often must be retained for legal or contractual reasons. By cleaning and archiving this information, organizations can make their migration targets smaller and healthier. This discipline also extends to testing environments. To ensure that payroll and finance systems function correctly, teams need realistic data; however, to protect sensitive customer and employee information, this data must be masked or scrambled to prevent security breaches.
How can companies achieve near-zero-downtime migrations?
Traditional migration methods usually force a choice between a phased approach, which leaves old and new systems running in parallel for months, or a 'big bang' cutover, which concentrates all risk into a single event. For critical infrastructure, a third option is becoming the standard: the near-zero-downtime approach. This method allows the majority of data to be transferred while the existing system remains fully operational.
In this model, changes made to the live system during the migration are captured and synchronized separately. This leaves only a minimal set of data to be moved during a highly controlled, brief cutover period. Success in this area requires rigorous rehearsal and clear communication between technology and operational teams. Every stakeholder must understand which processes can temporarily pause and what the contingency plan is if the cutover does not meet expectations.
What is the long-term goal of digital transformation in energy?
A successful transformation should result in a 'cleaner core' that enables future agility. By establishing well-governed data and streamlined systems, energy companies prepare themselves for the next wave of technological shifts. This includes the integration of AI, further cloud adoption, and the ability to respond rapidly to new regulatory landscapes or corporate restructuring.
Because the energy landscape is constantly evolving due to changing demand patterns and emerging risks, the underlying digital systems must be equally dynamic. Modernization is not a one-time event but a continuous capability that allows companies to evolve alongside the infrastructure they manage.
Frequently asked questions
Why can't energy companies migrate systems during the weekend?
Unlike retail businesses that can pause operations for a short window, energy providers manage critical infrastructure that requires 24/7 monitoring. Assets must be continuously tracked, and operational teams need uninterrupted access to data to make safe, real-time decisions regarding the power grid and service delivery.
What is the risk of a 'lift and shift' migration?
A 'lift and shift' migration involves moving existing data and applications directly to a new environment without optimizing them. This carries the risk of preserving legacy complexities, undocumented dependencies, and redundant data, resulting in an expensive new system that still suffers from old inefficiencies.
How does Ofgem influence energy data management?
Ofgem regulates through frameworks like the Data Best Practice framework, which was expanded in January 2026. These regulations require energy providers to implement consistent data structures and governance, ensuring that data is managed according to its value and utility rather than simply being stored indefinitely.
What is the benefit of data masking in testing?
Data masking allows transformation teams to use realistic datasets for testing critical processes like payroll and finance without exposing sensitive information. By scrambling names, addresses, and banking details, companies can ensure system accuracy while maintaining compliance with privacy and security standards.
How does a near-zero-downtime approach work?
This approach synchronizes data between the old and new systems in the background while the live system remains active. Only a very small amount of final data is transferred during a short, controlled cutover, significantly reducing the window of risk and the impact on essential services.
Key takeaways
- Energy providers must maintain continuous operations during IT migrations to ensure grid safety and regulatory compliance.
- Legacy data estates, such as the National Grid's 1.9TB S/4 system, require significant cleansing before migration.
- Ofgem's 2026 Data Best Practice framework mandates structured and value-based data governance for the industry.
- Near-zero-downtime strategies allow for data synchronization without halting essential business processes.
- Successful digital transformation creates a cleaner core that supports future AI and cloud integration.
Conclusion
Digital transformation in the energy sector is a high-stakes balancing act between modernization and continuity. As demand for electricity grows due to AI and electrification, the pressure on the digital backbone of the grid intensifies. Energy providers cannot afford the luxury of traditional downtime; instead, they must adopt sophisticated, near-zero-downtime migration strategies. By focusing on data cleansing, regulatory compliance, and rigorous testing, these organizations can move away from cumbersome legacy systems toward a cleaner, more agile core. This transition is essential for maintaining the resilience of critical national infrastructure in an increasingly complex energy landscape.
