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BTMA - O&G Data to Drive Commercial Decisions

Context BTMA 317 Final Project
Date Dec 2025
Gallery 9 visuals
Output Case deck

An analysis of governance failure, capital structure pressure, and leadership accountability. The project followed data from upstream planning through midstream market analytics and downstream commercial execution to understand where business decisions break across the energy value chain.

Through interviews with professionals across Cenovus and Plains Midstream, the analysis traced how assumptions are created, transformed, and ultimately exposed to financial consequences. The findings showed that upstream feels data failures first, midstream trades speed over perfection, and downstream absorbs every error in P&L.

The conclusion was direct: digital transformation in energy is not only a technical challenge. It is a change management problem where alignment, trust, and ownership matter more than dashboards or systems.

Report Gallery

9 visuals from the underlying deck and analysis.

Cover slide of a presentation titled 'O&G Data to Drive Commercial Decisions' with a subtitle 'Insights From Cenovus & Plains Midstream Employees' on the left side and an aerial view of an oil and gas facility with surrounding land on the right side.
Illustration of a value chain with three segments, each represented by a pillar and an icon with text indicating the professional's role, such as Commercial Planning Specialist, Market Analytics, and Senior Manager. The first and third segments are m
A slide titled 'How I Explored Data Across the Value Chain' with a table summarizing questions related to four topics: Data Quality & Accessibility, System Integration & Handoffs, Manual Work & Automation Gaps, and Decision-Making & Adoption. Each to
Bar chart comparing sentiment scores across categories for two data segments, CVE and Plains, with industry averages and a highlighted midstream score of 5.7.
Slide titled 'Upstream Planning: Assumptions In, Consequences Out' with sections explaining upstream planning, core data and systems, and key insights, including a diagram showing system handoffs, data quality issues, and manual work.
Slides from a presentation titled 'Midstream Market Analytics: A Patchwork of Market Data Sources.' It discusses the role of market analytics in energy markets, core data sources like ICE futures, and key insights about data fragmentation, fragility,
Slide titled 'Downstream Commercial: Turning ETRM Data into Performance' with sections explaining what downstream commercial does, core data and systems, and key insights. Key insights mention data quality issues, manual process risks, and flow of er
A presentation slide titled "Lessons & Conclusion" with the heading "What these conversations showed me about data." It lists three points: 1) Data Problems Aren't Technical, They're Structural, with an icon of three people; 2) Each Segment Defines '
Screenshot of a digital document’s references section titled 'Links & Sources' with a list of academic and industry sources related to business analytics, data management, and oil and gas industry insights.
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