IT Services for the Energy Industry

Business Risk: There will be additional costs to implement process-centric strategies and a risk of untrustworthy decision-making when it is based on information in spreadsheets that aren't integrated or controlled.

You Could Be Facing: Lack of data cleansing/normalization. Spreadsheets lack the integration and governance provided by databases.

How We Help: Data Management, part of our EIM Solutions

Where We've Done It: A leading oil and gas company replaced Excel spreadsheets and folder tracking with structured document control and a Power BI dashboard—significantly reducing manual workload, ensuring data integrity, and providing reliable information for all project and operational needs. Read the full case study. 

Business Risk: Without a single source of truth, teams work from conflicting data sets. This slows every decision and makes it impossible to scale operations or respond to incidents with confidence.

You Could Be Facing: Fragmented data landscape. Limited data lineage. No governed system of record

How We Help: Data Architecture, part of our EIM Solutions 

Where We've Done It: Migrating from a fragmented system to centralized document control with rigorous data cleanup, CTG delivered a trusted single source of truth for engineering and operations information—eliminating time spent searching, validating, and reconciling conflicting data. Read the full case study. 

Business Risk: Unintegrated systems force manual reconciliation and create upstream/downstream blind spots. Upgrades become expensive and risky when you do not know what breaks what.

You Could Be Facing: No standardized integration architecture. Context of data use and ownership is not established. Process models do not exist to govern data handoffs.

How We Help: Workflow and Process Automation and Data Architecture, part of our EIM Solutions

Where We've Done It: By replacing manual Outlook/Excel workflows with a Microsoft Power Platform CRM, a leading chemical company achieved $400K annual savings; 40% of orders require no human intervention; 30% faster order processing; 70% reduction in reporting time; and 80% reduction in audit time. Read the full case study.

Business Risk: No enterprise-level view of how information flows means teams cannot prioritize improvements, identify gaps, or trace a problem to its source. Regulatory responses take weeks instead of hours.

You Could Be Facing: No enterprise data model or relationship mapping between systems, processes, and organizational functions. Information exists but there is no way to see how it connects or where gaps are.

How We Help: Knowledge Management and Data Architecture, part of our EIM Solutions  

Where We've Done It: A large international oil and gas company transformed disconnected 2D document searches into searchable 3D Digital Twin context—giving teams a clear view of how assets, processes, and information connect across the entire operation. Read the full case study.

Business Risk: Skilled people spending time on manual data entry, reconciliation, and status updates is not just a productivity problem, it is a talent retention problem. High-value employees leave when their expertise is wasted on routine tasks.

You Might Be Facing: Data is siloed. Without structured data, automation becomes difficult or impossible. The team stays stuck in manual work because they are information-poor despite high data volumes.

How We Help: Workflow and Process Automation and Data Management, part of our EIM Solutions  

Where We've Done It: By transforming 2D document searches into searchable 3D Digital Twin context, a large oil and gas company achieved: 95% reduction in workflow time (9 hours to 30 minutes); 80% cost reduction vs. competing solutions; and 50%+ cut in manual processing costs. Read the full case study. 

Business Risk: The investment is questioned by leadership. Budget for future technology initiatives is harder to secure when prior investments have not delivered.

You Could Be Facing: Lack of proper technical support team or best practice sharing.

How We Help: Knowledge Management part of our EIM Solutions; Application Management

Where We've Done It: A leading chemical company recovered value from an underperforming application portfolio through CTG's blended managed services model—directly enabling new development that delivered efficiencies in invoice approvals, reliability investigations, and HSSE audits. Read the full case study.

Business Risk: If the original success metrics are no longer tracked, the organization has no way to know whether the investment is performing—or how to course-correct.

You Could Be Facing: Business measures of success exist but have drifted from the technology configuration. The tool was set up for IT convenience, not business outcomes.

How We Help: Organizational Change Management; Application Management

Business Risk: If the adoption approach was rushed or incomplete, the organization is carrying the full cost of the technology with only a fraction of the value. Every month without correction compounds the loss.

You Could Be Facing: 

How We Help: Organizational Change Management

Business Risk: Technology only delivers value when the processes around it are designed to take advantage of it. Layering new tools on old processes creates more work, not less.

You Could Be Facing: Process definition, gap analysis, and bridge work have not been done. The tool was deployed without redesigning the work it was meant to improve.

How We Help: Workflow and Process Automation, part of our EIM Solutions

Where We've Done It: Indorama Ventures redesigned their order management process around Microsoft Power Platform capabilities—eliminating 70% of manual reporting time and 80% of audit time by aligning the technology to how the business actually works. Read the full case study.

Business Risk: Without a named champion who drives standards and listens to users, any system will drift back to the problems it was meant to solve. Data quality degrades, naming conventions break down, and trust collapses.

You Could Be Facing: No business steward assigned. Ownership defaults to IT, which can fix technical symptoms but cannot address root causes in how data is created and used.

How We Help: Data Management, part of our EIM Solutions; Organizational Change Management

Business Risk: Adoption is a measure of fit. When the tool does not fit the work, teams build workarounds. Workarounds become the new process. The investment sits idle while the organization absorbs both the cost and the complexity.

You Could Be Facing: The tool interface or workflow does not match how users actually perform their work. Configuration was done for implementation speed, not for user adoption.

How We Help: Organizational Change Management; Application Management

Business Risk: Transformation work gets perpetually deferred because the team is consumed by keeping the lights on. The longer foundational work waits, the more technical debt accumulates, and the harder it becomes to start. Competitors who invest in these capabilities pull ahead.

You Could Be Facing: Team lacks specialized skills in data architecture, process modeling, or change management. These are not core competencies, so building them internally is slow and expensive. Operational demands consume all available capacity.

How We Help:  Knowledge Management and Data Management, part of our EIM Solutions; Application Management

Where We've Done It: When Indorama Ventures IVXP lacked internal capacity to manage their critical application portfolio, CTG provided a specialized onsite/remote team—immediately improving support quality and freeing the business to focus on growth rather than application firefighting. Read the full case study.

Business Risk: If data is owned by IT and managed inside applications with no shared model or governance layer, it cannot be used in the broader business context that AI requires. Business context exists only in people's heads, not in any managed structure.

You Could Be Facing: Data is locked inside applications with no shared data model or governance layer; Business context exists only in people's heads; No data stewardship program.

How We Help: Data Management and Semantic Modeling and AI Readiness, part of our EIM Solutions

Business Risk: You cannot manage what you do not measure. Without a quality baseline, the organization is flying blind on its most important readiness metric—and any AI initiative built on that foundation will produce unreliable outputs.

You Could Be Facing: No data quality metrics, profiling, or monitoring in place. Quality issues are discovered reactively when reports look wrong or decisions lead to bad outcomes.

How We Help: Data Management, part of our EIM Solutions

Where We've Done It: By integrating compliance data from multiple sources into a centralized data lake with defined KPIs, our client achieved: 30% reduction in compliance gaps; 50% improvement in proactive root cause analysis; and 60% increase in data integration efficiency. Read the full case study.

Business Risk: AI strategy exists at a high level but has not been connected to specific data sources, quality requirements, or process changes needed to operationalize it. The gap between “we want to use AI” and “our data can support AI” has not been assessed.

You Could Be Facing: No connection between stated AI objectives and the data quality and process maturity required to deliver them. Use cases are conceptual; no readiness assessment has been done.

How We Help: Data Management and Semantic Modeling and AI Readiness, part of our EIM Solutions

Business Risk: AI adoption is a human problem, not a technology problem. Without a structured approach to helping teams understand, trust, and adopt AI-assisted workflows, the organization will see low utilization, workarounds, and skepticism that undermines the investment.

You Could Be Facing: No structured approach to AI adoption. Change is being treated as a training problem rather than a behavioral and process shift.

How We Help: Semantic Modeling and AI Readiness, part of our EIM Solutions; Organizational Change Management

Business Risk: No defined cutover strategy or parallel-run plan means teams lack clarity on when manual processes will be retired and what the decision criteria are for trusting AI outputs. The old process never gets retired.

You Could Be Facing: No performance benchmarks or phased cutover plan for AI-assisted processes. The transition criteria are undefined.

How We Help: Workflow and Process Automation, part of our EIM Solutions; Organizational Change Management

Business Risk: Without connecting data to business objectives, teams waste effort maintaining datasets that do not drive value—and cannot prioritize which quality issues actually matter.

You Could Be Facing: Data collection is not aligned to business outcomes. Teams maintain datasets without knowing which decisions they support.

How We Help: Data Architecture and Data Management part of our EIM Solutions

Where We've Done It: By connecting document control to specific project and operational needs, CTG ensured a leading oil and gas company's data served a clear business purpose—providing reliable, accurate information and eliminating time spent validating conflicting records. Read the full case study.

Business Risk: Enterprise visibility does not mean everyone sees everything—it means the right people see consistent information. Without it, leadership spends more time debating whose data is right than making decisions.

You Could Be Facing: Data is segmented by department or function with no cross-functional visibility. Each group has its own reporting tools and definitions, creating conflicting versions of key metrics.

How We Help: Data Architecture, part of our EIM Solutions

Where We've Done It: A global energy company broke data silos across inspection, rounds, readings, and incident management databases by integrating them into a centralized data lake—improving data integration efficiency by 60% and enabling proactive compliance monitoring. Read the full case study.

Business Risk: Data ownership assigned to IT by default means quality issues are treated as technical problems rather than business process problems. The root cause never gets fixed—only the symptoms.

You Could Be Facing: Data ownership is assigned to IT rather than the business functions that create and use the data. Quality defects are corrected at the record level but not at the source.

How We Help: Data  Management, part of our EIM Solutions

Business Risk: Without data lineage, the organization cannot determine whether a bad outcome was caused by bad data, a bad process, or a bad interpretation. Every incident is a surprise. Every fix is temporary.

You Could Be Facing: No data lineage or traceability. When decisions go wrong, there is no systematic way to determine the cause or identify all downstream impacts.

How We Help: Data Architecture, part of our EIM Solutions

Where We've Done It: After establishing root cause analysis methodology and data traceability for an EPA consent decree, a global energy company achieved 50% improvement in proactive root cause analysis—creating the feedback loop that prevents the same compliance failure twice. Read the full case study.

Business Risk: Out-of-sync information means someone is always working with the wrong version. In energy operations, that can mean safety incidents, compliance failures, or costly rework—even in lower-stakes scenarios, it forces teams to verify rather than work.

You Could Be Facing: No master data management or synchronization strategy. Systems are updated independently with no automated change propagation. No defined system of record for shared data elements.

How We Help: Data Architecture and Data Management, part of our EIM Solutions

Where We've Done It: A leading oil and gas company eliminated information sync failures by replacing disconnected Excel/folder systems with structured document control—ensuring all teams work from a single accurate source and reducing manual reconciliation across project and operational systems. Read the full case study.

Business Risk: Non-compliance exposes the organization to regulatory fines, consent decrees, permit revocations, and reputational damage. In energy operations, compliance failures can halt production and trigger federal scrutiny.

You Could Be Facing: Compliance data scattered across multiple systems with no integration layer. Manual reporting processes that depend on individual knowledge rather than governed data. No structured root cause analysis to prevent repeat violations.

How We Help: Data Management and Workflow and Process Automation, part of our EIM Solutions

Where We've Done It: By integrating compliance data from multiple sources into a centralized data lake with defined KPIs, our client achieved 30% reduction in compliance gaps; 50% improvement in proactive root cause analysis; and 60% increase in data integration efficiency. Read the full case study.

Business Risk: A cybersecurity compliance gap in energy is not just a regulatory risk—it is an operational risk. A successful OT attack can shut down production, trigger environmental incidents, and expose the organization to significant liability.

You Could Be Facing: No structured incident response plan. OT infrastructure without continuous monitoring. Compliance treated as a filing exercise rather than an operational discipline.

How We Help: Cegeka Security Advisory Framework (CSAF); Cegeka Modern SOC; CISO as a Service; Identity and Access Management (IAM); Cyber Regulatory Compliance

Where We've Done It: By integrating compliance data from multiple sources into a centralized data lake with defined KPIs, our client achieved 30% reduction in compliance gaps; 50% improvement in proactive root cause analysis; and 60% increase in data integration efficiency. Read the full case study.