Transforming untapped data into measurable business outcomes.
The Data Solutions division of a leading energy provider partnered with DKL to design and build a next-generation Smart Data ecosystem. The mission: to unlock the value of the company’s extensive data assets by enabling cross-functional use cases and vertical solutions, such as operational intelligence systems and advanced analytics products.
At DKL, we grok data. We design ecosystems where (Data + AI) / Uncertainty = Value.
For this client, it meant transforming fragmented assets into a governed, AI-ready foundation — enabling vertical products within one year and setting a new benchmark for the future of data platforms in the energy sector and beyond.
A leading national energy provider, recognized globally for its scale and operational complexity, established a dedicated Data Solutions unit to capture new value through data-driven innovation.
The challenges were clear:
Decentralized data assets are scattered across business units.
Operational systems locked in on-premise Cloudera, complex to integrate with cloud-native tools.
The need for a cross-functional ecosystem to support multiple verticals.
Uncertainty in data quality, lineage, and ownership, limiting trust and slowing adoption.
Cybersecurity, CI/CD, and governance standards that were designed to serve as a reference framework for the entire organization
We knew our data had enormous potential, but we needed a trusted ecosystem — one that could set new standards in security, reliability, and scalability.
— Head of Data at this Middle-East energy company
DKL partnered with the client’s Data Solutions unit to design and build the platform from scratch on Google Cloud Platform (GCP), embedding Smart Data principles and ensuring AI readiness from day one.
Metadata, lineage, and uncertainty quantification are integrated into every dataset.
Advanced cybersecurity controls aligned with national standards.
Co-creation with stakeholders to ensure vertical products could be built on top of the platform.
Pipelines to connect seamlessly with the client’s on-premise Cloudera systems.
Automated deployment and monitoring pipelines, establishing a benchmark for the organization.
The Data Solutions Platform is now the central ecosystem for the client’s data operations, featuring:
Standardized APIs for vertical applications.
CI/CD-based development for rapid, reliable product releases.
Secure integration with legacy operational systems.
Interfaces and workflows for AI and GenAI initiatives, with dataset documentation embedded alongside data.
Governed catalog of data assets and metadata.
Despite a 2-year overall project plan.
Governance and uncertainty management increased adoption across teams.
Established to scale future products.
New monetization opportunities identified in energy efficiency, asset management, and customer insights.
CI/CD and cybersecurity standards are now adopted as a reference across other units of the organization.
The platform delivered with DKL is more than just infrastructure. It forms the foundation of the client’s data monetization strategy — and sets a benchmark for the organization’s future in data and AI.
— Company's Chief Data Officer
Building value from data requires ecosystems, not silos.
Embedding uncertainty management, governance, and security from day one ensures trust.
Multidisciplinary teams are essential to deliver complex, AI-ready platforms.
With the Data Solutions unit, the client delivered tangible value faster than planned, demonstrating the model's scalability.
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