The next digital advantage is the ability to change.
Our perspectivesMore systems do not automatically create a stronger business. ZHICE sees three capabilities shaping the next phase: placing compute within real constraints, moving data with its business meaning intact, and turning construction projects into sustained evolution. The useful unit of technology investment is becoming an operating capability that can improve repeatedly.
Start from group operating objectives and map dependencies across capabilities, applications and data. Reconsider the roles of cloud, edge and field systems for distributed assets, flexible trading and AI workloads, translating the architecture into sequenced investment and migration choices.
Explore this topicMove governance beyond policies and catalogues into data services that people can use. Establish shared business meaning across assets, customers, trading and equipment, with ownership and consumption contracts that make quality, timeliness, access and cost manageable.
Explore this topicDigital capabilities need enduring ownership. Organise business products, shared platforms and field systems with clear responsibilities, bringing product discovery, engineering delivery, reliability and technology cost into one operating rhythm.
Explore this topicCentral projection for global data-centre electricity demand in 20301
2026 · Global data centres · 2030 projectionExpanding compute meets shared constraints in electricity, networks and field operations. ZHICE believes an energy business must compare more than server prices: which tasks stay near their data, which can move, and who maintains service during disconnection will shape reliability and cost. Architecture must connect the business task, the compute resource and the energy context.
of surveyed data leaders are confident they can create business value from unstructured data2
2025 · 1,700 senior data and analytics leaders globallyEnergy businesses hold equipment records, procedures, contracts and expert knowledge. Connecting them to a model does not make their value available automatically. In our view, the next priority is to deliver business meaning, versions, conditions of use and ownership together. Data products that support a real decision deserve more attention than expanding catalogues and storage.
of respondents report using an internal developer platform3
2024 · Cross-industry software-delivery surveyBuying or building a platform is not sufficient evidence of digital maturity. We see its value in reducing repeated work on common problems while preserving meaningful business differences. When standards become another approval queue and shared capabilities have no service owner, centralisation can slow change. The next question is how the platform changes delivery behaviour.
Five stages—value definition, capability design, connected data, phased delivery and value management—bring planning, delivery and operations onto one roadmap. Business and technology teams make decisions together. The approach draws on MIT CISR research on digital business transformation, DORA findings on organizational and technical collaboration, and public specifications for data interoperability and OT security. ZHICE translates these perspectives into work designs for energy businesses; the business’s actual constraints determine implementation priorities.
We watch where the constraint moves after a new capability enters the business. Better technical indicators are a starting point; sustained advantage depends on changes in resources, accountability and coordination.
Track movable workloads, edge connectivity and whether compute and power conditions are considered together.
If inference becomes easier to distribute, identity, versioning and operating consistency become more important. Weak field connectivity keeps autonomy and recovery at the front of the agenda.
Watch whether business teams rely on shared data for real decisions and whether quality exceptions have an accountable owner.
Growing reuse with less coordination supports expansion. Repeated interpretation at every use points to unresolved semantics and responsibility.
Track time from need to use, recovery after failed changes and business waiting caused by platform upgrades.
Shared capability merits further investment when it reduces waiting. Dependencies amplified by centralisation require a fresh boundary between sharing and autonomy.
Central projection for all global data centres, not AI alone or a capacity plan for an individual enterprise.
IEA 2026 · Global data centres · 2030 projectionSelf-reported confidence across 27 geographies and 19 industries; not an energy-sector adoption rate or observed project success rate.
IBM 2025 · 1,700 senior data and analytics leaders globallyThe study uses a broad platform definition; associations with productivity, throughput and stability are mixed.
DORA 2024 · Cross-industry software-delivery survey