Design and Implementation of Data Collection Systems

At Kikwa UK, our deep expertise in the energy sector enables us to design and implement bespoke data collection systems tailored to each client’s operational requirements. Leveraging machine learning–driven analytics and automated validation processes, we deliver real-time insights and feedback to end users.

Our systems often include risk-based safety alerts, generated dynamically as data is entered, enabling engineers and field operatives to identify and resolve issues immediately—reducing the need for site revisits and improving overall safety and efficiency.

Project stakeholders benefit from interactive, cloud-hosted dashboards that provide complete visibility of progress and performance. All data is stored securely with user access controls, encryption, and audit trails as standard. Clients can access raw datasets directly and we offer API integrations to facilitate automated and secure data exchange, ensuring that clients retain full ownership and control of their data.

Representative Projects

  • Gas Appliance Safety Data Portal
    Design and deployment of a secure online portal to collect gas appliance safety data across thousands of residential properties for a leading energy supplier. The platform supported geographically distributed engineering teams, enabling data entry via mobile and web devices. Real-time traffic-light risk indicators provided immediate safety feedback, while project managers monitored activity via daily dashboards. The resulting data contributed directly to a UK gas safety regulatory review and supported evidence-based policy decisions.

  • Gas Safety Incident Tracking Tool (UK Government)
    Development and management of a national gas-safety incident tracking system deployed across multiple energy suppliers. The solution featured custom workflows to ensure accuracy in scenario-specific data capture and applied machine learning to classify similar incident types. Engineer training ensured consistent data quality, and statistical modelling was employed to extrapolate findings from sample data to national scale—supporting evidence-led decision-making for government stakeholders.

  • Technical Submissions Portal for Trade Body Clients
    Design, build, and management of a web-based submission platform enabling trade body members to provide technical data and supporting evidence for product approval schemes. Automated pre-validation processes ensured completeness before manual review, and a secure two-way messaging system streamlined communications between applicants and technical assessors. Approved submissions were automatically published to a public-facing website via API, enhancing transparency and efficiency across the approval process.