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Institute For Oil & Gas Training
OGI-1168 New

Power BI for Production & Cost Dashboards: Modelling Training Course

Duration
5 days
CPD hours
15
Language
English
Next date
12 Oct 2026
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Overview

Power BI for Production & Cost Dashboards is a practical corporate training course from Institute For Oil & Gas Training designed to strengthen the ability of oil and gas organisations to convert production, operational and financial data into reliable management dashboards. The course develops advanced capability in Power BI modelling, Power Query transformation, data model and relationships, DAX measures and dashboard design for production and cost analysis.

Oil and gas organisations operate with large volumes of data generated across upstream, midstream and downstream activities. Production volumes, well performance, equipment utilisation, operating expenditure, capital expenditure, maintenance costs, lifting costs, downtime, energy consumption and financial transactions often originate from different systems and reporting structures. When this information remains fragmented, management reporting becomes slower, less consistent and more dependent on manual spreadsheet consolidation.

Power BI provides a structured environment for bringing these datasets together and presenting them through interactive analytical dashboards. However, effective implementation requires more than creating attractive charts. Finance and operational professionals need a sound understanding of Power Query transformation, data model and relationships, star schema design, DAX measures, calculated columns and time intelligence functions. They also need to understand how report architecture affects accuracy, usability and report performance optimisation.

This course from Institute For Oil & Gas Training addresses those requirements through an oil and gas focused approach. Participants work with production and cost reporting scenarios that reflect the types of information used by finance, production, operations, maintenance and management teams. The emphasis is on building models that support decision making rather than simply presenting historical information.

The course examines the complete reporting workflow from source data preparation through to dashboard presentation. Participants learn how to structure data, resolve inconsistencies, establish relationships between datasets, develop reusable calculations and design dashboards that communicate operational and financial performance clearly.

A major focus is placed on production and cost integration. Production data without corresponding cost analysis limits financial visibility, while cost information without operational context provides an incomplete picture of performance. By connecting production metrics with expenditure, participants develop dashboards that provide a more integrated view of operational efficiency, cost behaviour and performance trends.

Power Query transformation provides the foundation for preparing source information before it enters the analytical model. Participants examine methods for cleaning inconsistent values, handling missing information, standardising fields, removing unnecessary data and preparing recurring datasets for efficient refresh processes.

The course also develops understanding of data model and relationships and star schema design. These concepts are essential when combining production, cost, asset, date and organisational data. A well-designed model improves calculation reliability, simplifies reporting and provides a stronger foundation for management dashboards.

DAX measures and calculated columns receive detailed attention because they serve different analytical purposes. Participants learn how to create measures for production totals, cost ratios, variance analysis, unit costs and performance indicators while understanding when calculated columns are appropriate.

Time intelligence functions support analysis across months, quarters and years. Participants apply these functions to compare current performance with previous periods, establish year-to-date views and analyse production and cost trends over time.

The course also addresses drill through and slicers, visual selection and report performance optimisation. These capabilities allow dashboards to support different levels of management analysis, from high-level performance monitoring to detailed investigation of individual assets, fields, facilities, cost centres or reporting periods.

For Institute For Oil & Gas Training, the objective is to provide an industry-relevant capability that connects data modelling with practical oil and gas reporting requirements. The resulting knowledge supports more consistent reporting, stronger data visibility and more efficient analytical workflows across production and finance functions.

Objectives

  • Build Power BI solutions for production and cost dashboards within oil and gas reporting environments

  • Apply Power Query transformation techniques to prepare operational and financial source data

  • Structure data model and relationships for reliable analytical reporting

  • Apply star schema design to production, cost, asset and calendar datasets

  • Develop DAX measures for production, cost, variance and performance analysis

  • Distinguish effectively between measures and calculated columns

  • Apply time intelligence functions to period-based production and cost reporting

  • Design effective drill through and slicers for management and operational analysis

  • Apply appropriate visual selection principles to production and financial dashboards

  • Build dashboards that connect production performance with operating cost information

  • Improve reporting consistency through structured data modelling

  • Apply report performance optimisation techniques to improve Power BI usability

  • Analyse production and cost trends through interactive reporting

  • Develop dashboards that support operational performance review and financial control

  • Reduce dependence on repetitive manual spreadsheet consolidation

  • Establish reporting structures that support recurring management information requirements

Training methodology

Institute For Oil & Gas Training delivers this course through an applied corporate learning methodology focused on operational and financial reporting requirements within the oil and gas industry. The delivery combines guided demonstrations, realistic datasets, case studies, practical modelling exercises, dashboard development activities and scenario-based analysis.

Participants examine production and cost datasets representing different operational dimensions. These scenarios demonstrate how raw information is transformed into structured analytical data and subsequently connected through an effective Power BI model.

Case studies focus on common reporting requirements such as production performance analysis, operating cost monitoring, unit cost analysis, budget versus actual reporting, asset-level performance and period-on-period comparisons. Each case connects technical Power BI functionality with a specific business reporting requirement.

Practical exercises cover Power Query transformation, allowing participants to work through data cleansing, field standardisation, data type management and preparation of recurring source files. The exercises emphasise repeatable transformation processes rather than manual manipulation.

Data modelling activities demonstrate how fact and dimension structures support efficient analysis. Participants build data model and relationships and apply star schema design to production, cost, asset and calendar information.

DAX exercises focus on measures that answer practical management questions. Participants develop calculations for production volumes, expenditure, unit costs, variances, cumulative performance and comparative analysis. Calculated columns are also examined to establish when row-level calculations are appropriate.

Scenario-based exercises develop the use of time intelligence functions for monthly, quarterly and annual reporting. Participants work with historical and current-period information to create analytical views that support management review.

Dashboard design activities address visual selection, drill through and slicers. Participants assess how different visuals communicate trends, comparisons, distributions and exceptions, while avoiding unnecessary visual complexity.

Report performance optimisation is incorporated into the modelling and dashboard development process. Participants identify design choices that affect refresh efficiency, model size, calculation performance and user experience.

Group exercises encourage participants to examine the same reporting problem from finance, production and operational perspectives. This reinforces the importance of consistent definitions and shared reporting structures across departments.

Real-world scenarios are used throughout the course so that technical Power BI skills remain connected to business requirements. The methodology therefore supports direct application within corporate reporting environments rather than treating Power BI as an isolated software application.

Organisational impact

The application of Power BI for Production & Cost Dashboards strengthens the connection between operational data and financial information. Organisations gain a more structured approach to analysing production volumes, expenditure and performance indicators across reporting periods.

A properly designed Power BI environment reduces dependence on manually consolidated reports. Power Query transformation establishes repeatable processes for preparing recurring datasets, supporting more consistent reporting workflows and reducing unnecessary manual data preparation.

Improved data model and relationships provide a stronger foundation for integrated analysis. Production, asset, cost centre, expenditure and calendar information can be structured so that users analyse information from consistent relationships rather than disconnected spreadsheets.

Star schema design supports maintainable analytical models. This is particularly valuable where organisations manage multiple production assets, fields, facilities or cost centres and require reporting at different organisational levels.

DAX measures provide a controlled approach to recurring management calculations. Production totals, operating costs, unit costs, variances and cumulative measures can be standardised within the reporting model, helping users work from consistent analytical definitions.

Time intelligence functions improve period-based analysis. Management teams can examine trends across reporting periods and compare current performance against historical information using structured calculations.

Interactive drill through and slicers allow users to move from summary information into more detailed analysis. A management dashboard can therefore provide a high-level overview while supporting further investigation of specific assets, cost categories, production areas or reporting periods.

Effective visual selection improves the communication of business information. Appropriate charts, tables, cards and trend visuals help users identify changes, comparisons and exceptions without unnecessary reporting complexity.

Report performance optimisation contributes to a more efficient user experience. Better model structure, controlled calculations and appropriate report design support dashboards that remain practical as reporting requirements expand.

The course also supports cross-functional alignment. Finance teams can connect expenditure information with operational metrics, while production and operations teams gain clearer visibility of cost implications associated with performance.

For sponsoring organisations, these capabilities support more efficient management reporting, stronger analytical consistency, improved data visibility and a more structured approach to production and cost performance monitoring.

Personal impact

Participants develop practical Power BI capability that extends beyond basic dashboard creation. They learn how to move from raw source information to a structured analytical model and then to an interactive management report.

Understanding Power Query transformation enables participants to prepare operational and financial information systematically. This supports more efficient handling of recurring reporting tasks and strengthens confidence in the quality of prepared data.

Knowledge of data model and relationships enables participants to construct models that reflect business structures. They gain the ability to connect production, cost, asset and time dimensions logically.

Star schema design strengthens modelling capability and provides a foundation for scalable reporting. Participants understand how model architecture affects calculations, usability and report maintenance.

DAX measures develop stronger analytical capability. Participants can create reusable calculations that support production, cost, variance and performance analysis without relying exclusively on manual spreadsheet formulas.

The distinction between measures and calculated columns improves modelling decisions. Participants learn to select the appropriate approach according to the analytical requirement.

Time intelligence functions strengthen financial and operational trend analysis. Participants gain practical capability in comparing periods and constructing cumulative reporting views.

Drill through and slicers improve interactive reporting skills, while visual selection strengthens their ability to communicate analytical findings to managers and operational stakeholders.

Report performance optimisation develops awareness of the technical factors that affect dashboard responsiveness. Participants therefore leave with a more complete understanding of Power BI as a business intelligence platform.

The resulting capability supports professionals responsible for management information, production reporting, operational analysis, financial analysis and digital transformation. It also strengthens the ability to communicate data-driven findings across departmental boundaries.

Who should attend

Finance Professionals

Financial analysts, management accountants and finance managers benefit from stronger capability in connecting operating expenditure with production information and developing recurring cost dashboards.

Production Professionals

Production engineers, production analysts and production managers gain tools for presenting production volumes, trends, performance indicators and operational comparisons through interactive dashboards.

Operations Professionals

Operations managers and performance specialists use the course to improve visibility across assets, facilities, operating costs and production performance.

Petroleum Accountants

Petroleum accountants gain practical Power BI capability for integrating financial and operational information into structured reporting models.

Cost Control Professionals

Cost controllers and cost analysts benefit from modelling techniques for expenditure analysis, variance reporting, unit cost calculations and management dashboards.

Business Intelligence Professionals

Business intelligence analysts and reporting specialists develop deeper understanding of Power BI modelling for oil and gas production and financial datasets.

Digital Transformation Professionals

Digital transformation and automation specialists gain practical knowledge for developing data-driven reporting solutions across finance and operational functions.

Management Information Professionals

Management information teams can apply the techniques to recurring executive and operational reporting requirements.

Department Managers

Finance, production, operations and asset managers gain a stronger understanding of how Power BI dashboards can support performance monitoring and analytical review.

Course outline

This module establishes the foundation for building reliable production and cost reporting models. It examines the structure of operational and financial datasets and explains how source information should be prepared before developing dashboards.

The module introduces Power BI workflows for production volumes, operating expenditure, asset information, cost centres and calendar data. Participants examine common data quality issues and establish a structured approach to preparing information for analysis.

  1. ISO 55001 Asset Management

    • ISO 55001 provides requirements for an asset management system.

    • It establishes principles for structured asset management processes and information.

    • Its asset-focused approach provides relevant context when organising production and asset information for analytical reporting.

    Learning Outcomes

    • Prepare production and cost source data for Power BI

    • Apply Power Query transformation techniques

    • Identify inconsistent and incomplete source information

    • Establish structured datasets for recurring reporting

    • Prepare asset and cost information for analytical modelling

This module develops the data architecture required for integrated production and cost dashboards. Participants examine fact and dimension structures and establish relationships between production, expenditure, assets and reporting periods.

The focus is on creating models that provide reliable analytical pathways while remaining manageable for recurring corporate reporting.

  1. ISO 14224 Petroleum Data

    • ISO 14224 establishes standardised approaches to collecting and exchanging reliability and maintenance data for equipment in the petroleum, petrochemical and natural gas industries.

    • It provides a recognised structure for petroleum equipment data.

    • Its standardised data principles provide relevant context for organising asset and operational information.

    Learning Outcomes

    • Build structured Power BI data models

    • Establish appropriate relationships between datasets

    • Apply star schema design principles

    • Connect production, cost, asset and calendar information

    • Identify modelling structures that support reliable analysis

This module develops the calculation capability required to turn structured datasets into useful management information. Participants create DAX measures and examine calculated columns for production, expenditure and performance analysis.

The module focuses on practical calculations that support recurring operational and financial reporting.

  1. IFRS 8 Operating Segments

    • IFRS 8 establishes disclosure requirements for operating segments.

    • The standard uses management information as an important basis for segment reporting.

    • Its management-oriented reporting context provides relevant perspective for structuring analytical views across business activities.

    Learning Outcomes

    • Create DAX measures for production and cost analysis

    • Apply calculated columns appropriately

    • Develop recurring variance calculations

    • Create unit cost and production performance measures

    • Structure calculations for management reporting

This module focuses on transforming analytical calculations into interactive production and cost dashboards. Participants apply time intelligence functions and develop dashboard navigation using drill through and slicers.

The module also examines visual selection so that dashboards communicate operational and financial information effectively to different management audiences.

  1. ISO 50001 Energy Management

    • ISO 50001 establishes requirements for an energy management system.

    • It provides a structured framework for improving energy performance through systematic management.

    • Its focus on energy performance provides relevant context for dashboards incorporating energy and production indicators.

    Learning Outcomes

    • Apply time intelligence functions to production and cost datasets

    • Develop period-based analytical views

    • Configure drill through functionality

    • Build effective slicers for management reporting

    • Apply visual selection principles to dashboard design

    • Connect operational and financial indicators within interactive reports

This module brings together the modelling, calculation and dashboard skills developed throughout the course. Participants refine production and cost dashboards and apply report performance optimisation techniques.

The module focuses on creating practical management reporting solutions that support efficient analysis and clear communication across finance, production and operations.

  1. ISO 9001 Quality Management

    • ISO 9001 establishes requirements for quality management systems.

    • It promotes consistent processes and continual improvement.

    • Its emphasis on controlled processes and continual improvement provides relevant context for developing reliable recurring reporting workflows.

    Learning Outcomes

    • Apply report performance optimisation techniques

    • Review Power BI models for unnecessary complexity

    • Improve dashboard usability and navigation

    • Refine production and cost reporting views

    • Apply effective visual selection

    • Develop management dashboards that support operational and financial review

    • Integrate modelling, DAX, interactivity and optimisation into a complete reporting solution

Certificate

Attendees receive a Certificate of Completion from Institute For Oil & Gas Training upon finishing the course. The certificate is issued to participants who fulfil the course attendance requirement and complete the scheduled course programme.

Course dates

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,700

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,700

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,700

  • Europe

    Middle East

    Asia

    Africa

    North America

    Online

    Fee: £3,700

Fees include tuition, course materials and refreshments. Need different dates or a different city? Ask about your preferred date.

Frequently asked questions

What does the Power BI for Production & Cost Dashboards course cover?

The course covers Power Query transformation, data model and relationships, star schema design, DAX measures, calculated columns, time intelligence functions, interactive dashboards and report performance optimisation for oil and gas production and cost reporting.

Who is this course designed for?

The course is designed for finance, production, operations, cost control, petroleum accounting, business intelligence, management information and digital transformation professionals working with oil and gas data.

Does the course include practical Power BI exercises?

Yes. Institute For Oil & Gas Training uses case studies, realistic production and cost scenarios, guided exercises and dashboard development activities to connect Power BI techniques with corporate reporting requirements.

Will the course cover DAX measures and calculated columns?

Yes. Participants develop DAX measures for production, cost, variance and performance analysis and examine the appropriate use of calculated columns for row-level calculations.

What certificate is provided after completing the course?

Attendees receive a Certificate of Completion from Institute For Oil & Gas Training upon finishing the course, subject to fulfilling the required attendance requirement.

Next: 12 Oct 2026

4 dates available

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