National Oil & Gas Corporation
A national energy entity needed a single analytics platform that could serve the C-suite's operational margin visibility and a field operations manager's daily reports — from the same data, with zero cross-access risk. GYSP led the national-scale OBIEE 12c implementation, enforced a zero-trust security architecture, and trained over 1,000 end-users to eliminate IT report dependency.
The Challenge
National energy companies generate vast operational data across upstream exploration and production, midstream transport, and downstream refining — alongside the financial data that tracks the economics of every barrel processed. Consolidating this into a single analytics environment requires solving three distinct problems simultaneously: the data integration layer that sources from heterogeneous operational systems; the BI platform that surfaces it in meaningful dashboards; and the security architecture that ensures every user sees exactly what they are authorised to see and nothing more. At national energy scale, this last requirement is particularly demanding. A single OBIEE environment serving everything from field-level operational data to CFO-level margin analysis requires security controls that enforce access not just at dashboard level but at the row and object level within every dataset — a refinery operations manager and the CFO must be able to use the same platform without any risk of cross-tier data access. Beyond the platform itself, over 1,000 business users who had historically relied on IT teams to generate reports needed to transition to genuine self-service analytics — a capability and cultural shift that required structured training, not just platform access.
Our Solution
GYSP led the end-to-end implementation lifecycle of OBIEE 12c and ODI 11g across the entire corporate estate of the national energy entity. ODI 11g built and managed the data integration layer — sourcing operational and financial data from disparate systems across the corporate estate, transforming it, and loading it into the semantic model that OBIEE 12c would expose to business users. Executive C-suite command dashboards were designed to synthesise operational and financial data into a unified view of operational margins — translating raw data from multiple operational domains into a single coherent picture of business performance for executive consumption. A zero-trust analytics architecture was enforced through a comprehensive security matrix: row-level security controls which records within a dataset a user can see; object-level security controls which dashboards, reports, and data objects a user can access at all. Applied across the entire OBIEE environment, these controls sealed sensitive enterprise assets so that every user's analytics experience was scoped precisely to their authorisation level — no configuration shortcut, no implicit access path. Finally, over 1,000 end-users were trained on advanced data visualisation practices, moving the organisation from IT-dependent report generation toward genuine self-service analytics capability and materially reducing the volume of IT report requests.
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Get free briefKey Deliverables
- Led the end-to-end implementation of OBIEE 12c and ODI 11g across the entire corporate estate of a national energy entity
- Executive C-suite command dashboards designed to synthesise operational and financial data into a unified view of operational margins
- Zero-trust analytics architecture enforced through comprehensive row-level and object-level security matrices across all analytics assets
- ODI 11g data integration layer built to source, transform, and load operational data from disparate systems into the OBIEE semantic model
- Over 1,000 end-users trained on advanced data visualisation practices, enabling genuine organisation-wide self-service analytics
- Corporate reliance on IT-generated reports materially reduced — business teams given direct, governed access to operational insight
Services Delivered
- Enterprise BI Implementation
- Data Governance & Security
- Analytics Training & Adoption
- Data Integration
Tech Stack
Frequently Asked Questions
What is OBIEE 12c and why is it suited for national-scale energy analytics?+
Oracle Business Intelligence Enterprise Edition (OBIEE) 12c is an enterprise BI platform that provides a semantic model layer — abstracting the underlying data complexity from business users — and supports rich dashboards, ad hoc analysis, and governed self-service analytics. At national energy scale, it handles the complexity of multiple data domains (upstream, midstream, downstream operations plus financial data) unified into a single semantic model, with the security framework required to enforce granular access control across thousands of users.
How does zero-trust analytics security work at row and object level?+
Row-level security controls which records within a dataset a user can see — for example, a refinery manager sees only records for their facility, not group-wide margin data. Object-level security controls which dashboards, reports, subject areas, and data objects a user can access at all — regardless of record content. Applied together, they create an analytics environment where every user's experience is precisely scoped to their authorisation level, with no implicit access through shared dashboards or unguarded data paths.
How was ODI 11g used in the data integration layer?+
Oracle Data Integrator (ODI) 11g was used to extract operational and financial data from the national energy entity's heterogeneous source systems — covering upstream, midstream, and downstream operations — transform it into the required format, and load it into the data warehouse and semantic layer that OBIEE 12c surfaced to business users. ODI's E-LT architecture processes transformations within the database engine rather than a separate ETL server, making it efficient for the high-volume operational data typical of national-scale energy operations.
What does training 1,000+ users on self-service analytics achieve for a national energy company?+
The dependency on IT to generate and distribute reports is a significant hidden cost in large organisations — each report request consumes analyst time, creates a queue, and delays the business decision. Training 1,000+ users to build their own analyses within a governed self-service environment shifts that workload from IT to the business, reduces report backlog, and gives operational managers faster access to the data they need for decisions. The governance layer (zero-trust security) ensures self-service doesn't become a data access risk.
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