Making TBM Real: Use Cases That Deliver Value
A practical guide to aligning technology costs, data, and decisions across maturity phases
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Understanding TBM Use Cases: From Data to Decision-Making
A TBM use case defines a structured scenario where Technology Business Management methods address a specific business problem by aligning financial and operational data with strategic goals. Each use case consists of a clear objective, the data required to support analysis, the stakeholders responsible for data and decision-making, and the deliverables—such as reports, dashboards, or executive briefings—that demonstrate tangible results.
Looking to share a concise, curated selection of TBM use cases with your leadership team or data owners?
Our downloadable publication, High Impact TBM Use Cases, is designed for exactly that—summarizing key scenarios, required data, and organizational benefits in a format suited for stakeholder conversations and planning workshops.
Use cases guide practitioners through focused initiatives, whether you’re establishing baseline cost visibility or advancing to sophisticated analytics. They transform raw cost, usage, and performance data into actionable insights that drive accountability, optimize spending, and support continuous improvement. For a comprehensive overview of the TBM framework and its foundational concepts, see What Is TBM.
Identifying, Developing, and Presenting a Use Case
Successfully executing a TBM use case requires a disciplined, repeatable process. Follow these detailed steps to ensure clarity, alignment, and impact:
- Select and Prioritize Use Cases
Begin by compiling a list of potential use cases drawn from organizational pain points, strategic initiatives, and stakeholder requests. For each candidate, score three dimensions on a scale of 1–5:- Business Impact: Estimate the magnitude of cost savings, risk reduction, revenue enablement, or efficiency gains.
- Data Readiness: Assess whether required data sources (GL codes, consumption logs, license inventories, etc.) exist, are high quality, and are accessible.
- Stakeholder Alignment: Evaluate the level of executive sponsorship, cross-team support, and readiness of end users to adopt the deliverables.
Sum the scores and select the top-scoring use cases for your initial TBM efforts.
- Define Scope and Objectives
For each prioritized use case, craft a concise scope statement that answers: “What question are we answering, and for whom?” Then translate that into measurable objectives. For example:- Scope: “Provide monthly visibility into cloud compute costs for our Marketing department.”
- Objective: “Reduce Marketing’s cloud spend by 10% over the next quarter by identifying and rightsizing underutilized resources.”
- Map Data Requirements
Identify every data element needed to deliver on your objectives. Categorize them by source system and quality criteria:- Financial Systems: GL accounts, budget line items, invoice records.
- Operational Systems: Cloud billing exports, CMDB resource inventories, timesheet or labor-allocation logs.
- Third-Party Feeds: Vendor usage reports, SaaS license metrics, compliance or risk scores.
For each element, document its owner, refresh cadence, transformation rules, and any known data-quality limitations.
- Assign Roles and Responsibilities
Create a RACI (Responsible, Accountable, Consulted, Informed) chart for the use case. Typical roles include:- Executive Sponsor (Accountable): Champions the initiative and secures resources.
- Use-Case Owner (Responsible): Leads project management, data gathering, and delivery.
- Data Stewards (Consulted): Custodians of each source system, ensuring accuracy and consistency.
- End Users (Informed): Consumers of the final deliverables, providing feedback for refinement.
- Build or Configure the TBM Model
In your TBM platform, implement the following:- Taxonomy Mapping: Align cost pools, resource towers, and solutions to your data elements.
- Allocation Logic: Define formulas for distributing shared costs (e.g., CPU hours, head-count drivers).
- Data Ingestion Pipelines: Automate imports from ERPs, cloud providers, and time-entry systems, applying transformation rules documented earlier.
- Validation Checks: Establish reconciliation routines to compare TBM outputs against source-system totals.
- Analyze and Derive Insights
Use the configured model to answer your scope question. Conduct deep dives to uncover trends, anomalies, and optimization opportunities. Typical analyses include:- Month-over-month variance analysis against budget or forecast.
- Resource utilization vs. cost correlations.
- Identification of outliers or spikes in consumption.
- Design and Package Deliverables
Tailor your outputs to stakeholder needs and reporting cadences. For example:- Executive Summary Slide Deck using the structure from the TBM Executive 2-Pager.
- Interactive Dashboard with filters by business unit, cost pool, or time period.
- Automated Email Report with key KPIs and exception alerts.
Ensure each deliverable clearly links back to objectives and includes recommended next steps or decision points.
- Present, Gather Feedback, and Iterate
Conduct a formal review with stakeholders. Walk through the findings, solicit questions, and capture requests for enhancement. Then, refine your model and deliverables to address feedback. Establish a regular cadence—monthly or quarterly—for updates, ensuring continuous improvement and sustained adoption.
By following these eight steps, TBM practitioners can move from a loose idea to a fully operational use case that drives measurable business value.
TBM Maturity Phases Overview
TBM maturity advances through three distinct phases, each building on the capabilities and insights of the previous stage. In the Ramping phase, organizations embed TBM across core financial and operational processes by standardizing cost pools, establishing data governance, and launching initial pilots such as showback reports. Practitioners in this phase work closely with finance and IT teams to align general ledger codes, consumption logs, and basic labor data to a common taxonomy. For an in-depth look at foundational TBM practices—covering data definitions, roles, tools, and methods—visit our Foundations page.
Once Ramping is well established, the Accelerating phase extends the TBM model into Resource Towers and Solutions layers. Here, teams integrate detailed infrastructure and application data to support use cases like Unit Economics, Product & Service Total Cost of Ownership, and Application TCO. Hybrid Cloud cost scenarios—modeling both on-premises IaaS/PaaS and multi-cloud FinOps integration—become feasible, enabling practitioners to compare and optimize across environments. You can explore best practices for data integration and mapping on our TBM Modeling page.
The Innovating phase brings advanced analytics and strategic decision support to the forefront. Organizations mature their use of TBM by incorporating ROI of Artificial Intelligence, Integrated Risk Financials, and Sustainability Cost/Benefits into their models. Predictive algorithms and external benchmarks drive continuous optimization, while metrics around carbon emissions, cyber-risk scores, and AI service outcomes inform executive strategy.
Reviewing the Core Use Cases
The tables below present eighteen TBM use cases by maturity phase—Ramping, Maturing, and Innovating—so you can quickly identify which scenarios align with your organization’s current capabilities and strategic priorities. Each entry summarizes the use case’s purpose, required data, value delivered, and suggested reports or KPIs.
These use cases, along with many others, will naturally emerge at various stages of your organization’s TBM adoption journey. Initially, your team may comfortably execute Ramping-phase scenarios using internal spreadsheets or simple modeling approaches. However, developing use cases in the Maturing and Innovating phases often demands more robust data integrations, precise allocations, and advanced analytics capabilities that typically require dedicated TBM software tools. If your organization doesn’t yet have such software, consider exploring TBM software platforms or service providers who specialize in supporting these more complex analyses.
As you move beyond foundational use cases, you should assess your organization’s readiness to advance by conducting a maturity assessment.
Assess your organization’s TBM foundations by downloading The TBM Maturity Assessment. This self-assessment evaluates six core dimensions—Data, Taxonomy, Engagement, Value, Reporting, and Automation—to identify where you stand and where to focus next. Use your results to guide improvements, prioritize use cases, and communicate progress to leadership.
Detailed guidance on data mapping, cost allocation methods, and model configuration can be found on the TBM Modeling section of our website, helping you ensure your use-case development aligns with established best practices.
Ramping Phase
Use Case | Description | Key Data Fields | Value Delivered | Related Reports & KPIs |
Cost Transparency | Provides a unified view of technology spending by standardizing cost pools, eliminating hidden expenses, and establishing a baseline for accountability. | • GL or cost center allocations • Vendor/supplier details • Invoice & PO records • High-level labor expenses | • Clear spend visibility • Identified inefficiencies • Foundation for TBM analytics | Monthly Spend Dashboard Variance Analysis (%) Cost per Department KPI |
Budget & Forecast | Maps cost-pool budgets directly to actual expenditures, reducing variances and improving accuracy in financial planning. | • Historical spend by cost pool • Forecast assumptions • Budget line items linked to taxonomy • Planned vs. actual tracking | • Accurate budgeting • Reduced waste • Better finance/IT collaboration | Budget vs. Actual Report Forecast Accuracy (%) Budget Variance Alerts |
Labor Financials | Transforms aggregated labor costs into detailed department- or project-level allocations, enabling precise workforce cost management and efficiency analysis. | • Employee/contractor IDs • Timesheet logs • Salary & benefits details • Department/project assignments | • Improved labor budget control • Visibility into workforce drivers • Data to support staffing decisions | Labor Cost per FTE Utilization Rate (%) Overtime Cost Trends |
Showback Pilot | Delivers a focused consumption report (e.g., for one BU) to spark stakeholder engagement, reveal data gaps, and refine TBM processes before enterprise rollout. | • Consumption logs by BU • Cost-pool allocations • Spend trends • Chargeback policy definitions | • Early stakeholder buy-in • Feedback-driven data improvements • Pilot for scaling showback | Showback Report Adoption (%) Stakeholder Satisfaction Score Data Issue Resolution Rate |
Accelerating Phase
Use Case | Description | Key Data Fields | Value Delivered | Related Reports & KPIs |
Unit Economics | Calculates cost per unit of service—such as per VM, per GB of storage, or per transaction—by linking resource-tower data to consumption metrics, revealing precise operational cost drivers. | • Infrastructure metrics (CPU, memory, storage) • Transaction counts • Allocation rules per unit • SLA benchmarks | • Granular efficiency insights • Cost-optimization potential • Alignment of consumption with value | Cost per VM/GB Report Unit Margin (%) Resource Efficiency Index |
Product & Service TCO | Aggregates all direct and indirect costs—including hardware, software, support, and labor—over a product or service lifecycle, enabling informed investment, consolidation, or retirement decisions. | • Hardware/software/support records • Depreciation schedules • Project timelines • Contract details | • Full lifecycle cost clarity • Enhanced ROI analysis • Strategic product decisions | TCO Summary Report ROI (%) Lifecycle Cost Trend Analysis |
Application TCO | Uncovers hidden application expenses by mapping hosting, licensing, integration, and support costs to each application, guiding modernization and consolidation strategies. | • Application inventory (version, environment) • License/support fees • Infrastructure consumption • Integration costs | • Identification of hidden fees • Data-backed consolidation decisions • Vendor negotiation leverage | Application Cost Breakdown Cost per User KPI Consolidation Opportunity List |
On-Prem Cost Modeling | Quantifies the full cost of delivering on-premises IaaS/PaaS-style services—including depreciation, facilities, utilities, and support—to compare against public-cloud alternatives and inform data-center strategy. | • Asset lifecycles & depreciation • Data-center facility & utility costs • Support labor charges • Utilization metrics | • Cloud vs. on-prem cost comparison • Informed consolidation/expansion choices • Hidden infrastructure cost visibility | On-Prem vs. Cloud Cost Report Cost per Rack/VM Data-Center Utilization (%) |
FinOps Integration | Integrates real-time cloud billing and tag data from FinOps tools into the TBM model, providing unified dashboards, automated anomaly alerts, and faster cost remediation across hybrid environments. | • Cloud billing & tag metadata • FinOps anomaly reports • TBM cost-pool mappings • Environment metadata | • Rapid overspend detection • Cross-team budget alignment • Automated optimization suggestions | Cloud Cost Anomaly Alerts Cloud Spend Dashboard Budget Breach Notifications |
Intelligent Adoption | Leverages analytics and machine-learning to recommend optimal workload placement—on-prem or cloud—based on cost, performance SLAs, and forecasted demand, reducing over-provisioning and idle-resource expenses. | • Utilization & performance trends • SLA & cost benchmarks • Demand forecasts • Policy definitions | • Data-driven placement decisions • Lower idle resource costs • Automated scaling strategies | Workload Placement Recommendations Resource Utilization Dashboard Cost Savings Forecast |
Showback/Chargeback | Implements enterprise-wide cost allocation by tying resource consumption back to business units or products—through showback (visibility) and chargeback (billing)—to drive accountability, encourage efficient usage, and recover costs. | • Consumption logs by consumer • Pricing/rate structures • Usage trends • Billing policy definitions | • Transparent cost allocation • Strong stakeholder accountability • Incentives for conservation | Chargeback Statements Cost Recovery Rate (%) Consumption Tre |
Innovating Phase
Use Case | Description | Key Data Fields | Value Delivered | Related Reports & KPIs |
ROI of Artificial Intelligence | Links external AI service costs to outcome metrics—such as conversion lift or processing-time savings—to measure AI investment returns and optimize subscription or usage pricing. | • AI subscription & usage fees • API call counts • Vendor reports • Business outcome KPIs | • Clear AI spend-to-business impact • Optimized AI service costing • Data-backed ROI analytics | AI ROI Report Cost per Model Run Outcome Improvement (%) |
Integrated Risk Financials | Embeds risk, compliance, and cybersecurity metrics into financial models, aligning spend with risk appetite and guiding investments in controls and remediation. | • Risk/compliance scores • Security tool costs • Incident response expenses • Severity indicators | • Prioritized risk mitigation • Balanced cost vs. risk trade-off visibility • Enhanced governance | Risk-Cost Matrix Compliance Spend Dashboard Incident Cost Tracking |
Sustainability Cost/Benefits | Integrates environmental metrics—carbon emissions, energy use, e-waste—within TBM models, linking them to resource consumption and spending to evaluate both financial and ecological returns on green initiatives. | • Emissions & energy data • Disposal records • Renewable sourcing rates • Compliance benchmarks | • Dual financial/environmental impact visibility • ROI on sustainability • Alignment with regulatory requirements | Carbon Cost Report Emissions per Dollar Spent KPI Sustainability ROI Analysis |
SaaS Subscription Optimization | Optimizes recurring SaaS license spend by analyzing entitlements vs. usage, rightsizing seats, and negotiating better terms to eliminate wasted subscription costs. | • License counts & entitlements • User login/usage metrics • Subscription cost schedules • Renewal dates | • Lower SaaS overspend • Efficient license utilization • Strong negotiation leverage | License Utilization Rate (%) Subscription Savings Report Renewal Negotiation Impact |
Capacity Planning & Forecasting | Projects future compute, storage, and network needs by analyzing historical utilization and business growth projections, ensuring budgets align with anticipated demand. | • Historical utilization • Business growth forecasts • Seasonal trends • Capacity thresholds | • Accurate budget forecasting • Minimized under/over-provisioning risk • Data-driven investment planning | Capacity Forecast Report Provisioning Accuracy (%) Growth vs. Capacity Alignment Chart |
IT Demand & Portfolio Mgmt | Prioritizes, funds, and tracks projects by comparing TBM-based cost estimates against strategic value and resource availability, optimizing the IT investment portfolio. | • Project cost estimates • Strategic value scores • Resource allocation logs • Portfolio performance metrics | • Strategic project alignment • Improved portfolio ROI • Balanced resource usage across initiatives | Portfolio Prioritization Matrix Project ROI Dashboard Resource Allocation Efficiency (%) |
Vendor Performance & Contract Mgmt | Measures actual service consumption and cost against contracted SLAs, identifying over-usage, penalty opportunities, and renewal negotiation levers to ensure vendors deliver expected value. | • Contract SLA terms • Actual usage volumes • Pricing tier data • Penalty/rebate records | • Increased vendor accountability • Savings from penalties/renegotiations • Forecasted vendor spend | SLA Compliance Report Penalty Recovery Amount Contract Renewal Savings |
Security & Compliance Cost Allocation | Allocates cybersecurity and compliance program expenses to the systems and business units they protect, enabling risk-informed budgeting for security and regulatory requirements. | • Security tool usage • Vulnerability or risk scores • Audit and remediation costs • Business unit mappings | • Transparent security spend • Prioritized funding for high-risk areas • Strengthened compliance posture | Security Spend Allocation Report Compliance Gap Percentage Vulnerability Remediation Costs |
Use-Case Prioritization Framework
Not every TBM use case can be tackled at once, so a clear prioritization approach helps you focus on those initiatives that will deliver the greatest early value. The table below presents a simple scoring matrix: you assign each candidate use case a score from 1 (lowest) to 5 (highest) in three dimensions—Business Impact, Data Readiness, and Stakeholder Alignment—then sum the scores to determine your priority ranking.
Use Case | Business Impact<br>(1–5) | Data Readiness<br>(1–5) | Stakeholder Alignment<br>(1–5) | Total Score |
Cost Transparency | ||||
Budget & Forecast | ||||
Labor Financials |
How to use this matrix:
- List each potential use case in the first column.
- For Business Impact, consider estimated cost savings, efficiency gains, risk reduction, or revenue enablement.
- For Data Readiness, evaluate the availability, quality, and accessibility of required data sources, such as ERP extracts, cloud billing, or CMDB records.
- For Stakeholder Alignment, assess executive sponsorship, department buy-in, and the willingness of end users to adopt new reports or dashboards.
- Sum the three scores to calculate the Total Score and rank use cases accordingly.
A higher total indicates a use case that is both valuable and achievable with your current resources. This prioritization technique is adapted from our High Impact TBM Use Cases publication, which provides scoring examples and detailed criteria. Once you have your ranked list, you can proceed to assign ownership, define scopes, and begin development in a structured, impact-focused way.
Governance & Ownership
Clear governance and well-defined ownership are essential for moving TBM use cases from concept to execution. Establishing roles ensures accountability, accelerates decision-making, and maintains momentum as you progress through pilots, scaling, and advanced phases.
Begin by appointing an Executive Sponsor who champions TBM at the leadership level and secures necessary resources. This sponsor sets strategic direction and removes hurdles. Next, designate a Use-Case Owner for each initiative—this individual coordinates scoping, data gathering, model configuration, and stakeholder communications. Data Stewards, drawn from IT and Finance teams, maintain source-system accuracy, manage transformation rules, and resolve data-quality issues. Finally, the TBM Center of Excellence provides taxonomy standards, best-practice templates, and ongoing support across use cases.
Below is an example RACI chart for a typical use case. Hover over each cell to learn more.
Role | Executive Sponsor | Use-Case Owner | Data Stewards | TBM CoE | End Users |
Scope Definition | A | R | C | C | I |
Data Mapping | I | R | A | C | I |
Model Configuration | I | R | C | A | I |
Analysis & Reporting | I | R | C | C | I |
Stakeholder Review | A | R | I | I | C |
Use this template to clarify expectations before work begins, adjusting roles to fit your organization’s structure. Consistent governance and ownership accelerate adoption, improve data quality, and maximize the impact of each TBM use case.
Data Quality & Readiness
Data quality often determines the success or failure of TBM use cases. Even the most thoughtfully designed use case will struggle without accurate, timely, and complete data. Before initiating any TBM use case, practitioners should carefully assess whether their data meets essential readiness standards.
Evaluate your data quality and readiness according to these four key criteria:
- Completeness
Confirm that all critical fields—such as GL codes, vendor invoices, or consumption metrics—are fully populated in your source systems. Missing data significantly undermines use-case credibility and accuracy. - Consistency
Check data alignment across systems by verifying adherence to standard naming conventions and consistent use of your established TBM taxonomy. Misaligned tags and inconsistent terminology distort allocations, making results unreliable. - Timeliness
Validate whether your data refresh frequency supports your reporting requirements. For instance, FinOps scenarios typically require near-real-time cloud billing data, while budget and forecasting use cases may be adequately supported by monthly data updates. - Accuracy
Regularly reconcile TBM model outputs with trusted source-system totals—such as ERP extracts or CMDB records—to identify and address discrepancies. Persistent inaccuracies erode stakeholder trust and diminish the value of your analytics.
Addressing these data readiness factors requires active collaboration with Data Stewards, who maintain source-system accuracy and enforce data standards. Effective organizational change management further reinforces these efforts, helping stakeholders adopt improved data-entry behaviors and consistently adhere to data-quality practices over time.
Additionally, align your data definitions and quality practices with recognized industry frameworks such as the ServiceNow CSDM or the NIST cybersecurity framework, described on our Connected Standards page and detailed in our TBM Taxonomy and NIST white paper.
Proactively managing data quality using these strategies enables your TBM use cases to deliver trusted insights, achieve strong stakeholder engagement, and produce sustainable organizational outcomes.
Change Management & Adoption
Even the most technically robust TBM use case requires thoughtful organizational change management (OCM) to achieve adoption and sustain impact. Change management supports successful use-case implementation by addressing stakeholder engagement, organizational readiness, and adoption challenges that commonly arise in TBM initiatives.
Effective change management begins with clear and proactive communication. Stakeholders—ranging from executives and business-unit leaders to IT and finance teams—need to understand the purpose, expected benefits, and their specific roles within each use case. Develop targeted communication plans tailored to different stakeholder groups, using regular status updates, town halls, and executive briefings to maintain momentum and manage expectations. For detailed guidance and templates, consult our Organizational Change Management resource page.
Stakeholder training is equally essential, especially when introducing new TBM tools or updated processes such as budgeting, forecasting, or chargeback mechanisms. Provide role-based training sessions, hands-on workshops, and documentation to support user confidence and proficiency. Ongoing support resources, such as FAQs, how-to guides, and dedicated office hours, further accelerate adoption.
Anticipate and proactively address resistance. Common concerns—such as fears around increased accountability from chargeback models or discomfort with data transparency—should be managed directly through transparent communication and leadership endorsement. Demonstrating early successes from pilot use cases can help build trust and confidence across the organization. The publication Mastering Technology Business Management Adoption: Roles & Responsibilities offers additional strategies for effectively navigating resistance and stakeholder alignment.
Finally, establish feedback loops to continuously measure adoption effectiveness. Track usage of TBM reports, dashboards, and decision-making frameworks, and regularly survey stakeholders to identify adoption gaps or emerging concerns. Continuous feedback allows your TBM practice to quickly refine and evolve its approach, ensuring long-term adoption and sustained organizational value.
By embedding these proven OCM strategies within your TBM use-case implementation, you can achieve stronger stakeholder buy-in, faster adoption, and lasting success.
Measuring Success & Driving Continuous Improvement
Sustaining the value of TBM use cases requires more than just delivery—it requires structured measurement and ongoing refinement. Use the checklist below to embed success tracking and continuous improvement into your TBM practice. These checkpoints are organized into five key categories: define metrics, track adoption, evaluate impact, conduct retrospectives, and institutionalize learning.
Define Success Metrics for Each Use Case
- Identify primary KPIs aligned with the use case goal (e.g., forecast accuracy, unit cost reduction, anomaly resolution time).
- Map each KPI to specific data fields within your TBM model.
- Integrate KPI tracking into your reporting layer or dashboards
- Set baseline values and success thresholds (e.g., “reduce unidentified spend by 20%”).
Track Usage and Adoption
- Monitor report/dashboard access frequency using analytics or platform telemetry.
- Conduct short stakeholder surveys post-implementation to gather feedback.
- Evaluate if usage is consistent across all intended stakeholder groups.
- Review training effectiveness and update onboarding materials if usage is low. See OCM guidance.
Evaluate Business and Operational Impact
- Measure realized benefits (e.g., cost savings, improved investment decisions, risk reduction).
- Compare planned vs. actual outcomes and identify contributing factors.
- Confirm whether stakeholders made decisions or policy changes based on insights from the use case.
- Validate that reported metrics are trusted and being used in executive discussions.
Conduct Retrospectives and Stakeholder Reviews
- Schedule retrospectives with the use-case owner, data stewards, TBM CoE, and key consumers.
- Document what went well, what could be improved, and unresolved challenges.
- Review gaps in data quality, model logic, or delivery format.
- Capture decisions made and impacts observed post-implementation.
Institutionalize Learning and Iterate
- Store completed use cases with defined objectives, metrics, outcomes, and lessons learned in a shared repository.
- Standardize successful formats, dashboards, or analysis techniques for future use cases.
- Update delivery playbooks and governance models based on retrospective feedback.
- Share key outcomes with leadership to reinforce the value of the TBM practice.
For examples of how organizations structure and measure TBM success, review the State of TBM or our Case Studies, which feature proven metrics and success stories from TBM practitioners worldwide.
Risk, Compliance, and Regulatory Alignment
As TBM use cases become more advanced and begin intersecting with regulated business areas—such as security operations, financial controls, or sustainability reporting—it’s important to ensure that your modeling and reporting practices align with risk and compliance requirements.
TBM doesn’t replace your organization’s risk management or compliance programs, but it provides a powerful structure to support them. Use cases like Integrated Risk Financials, Security & Compliance Cost Allocation, and Sustainability Cost/Benefits require not only accurate cost and usage data, but also data from regulatory, risk, or audit systems. These use cases often call for alignment with frameworks such as NIST, ISO 27001, or industry-specific compliance standards.
You can start by identifying which TBM use cases rely on sensitive data or intersect with audit-reporting needs. For those, ensure that data sources include relevant compliance metadata—such as risk scores, vulnerability severity, or remediation status. From there, allocate costs (e.g., for security tools or compliance staff) directly to the services, systems, or business units they protect. This allows your organization to model not just cost, but the relative risk exposure and investment effectiveness associated with those areas.
For guidance on mapping TBM to recognized frameworks, see the Connected Standards page and the publication TBM Taxonomy and NIST, which outlines how TBM elements can support compliance with NIST cybersecurity standards.
Strong risk alignment also requires governance. Your TBM team should coordinate with compliance and internal audit functions to validate assumptions, reconcile shared data sources, and ensure that TBM reporting meets regulatory expectations. This collaboration improves the quality of insights and reduces the risk of duplicative or conflicting reporting.
For a more complete view of how TBM supports secure, compliant decision-making, refer to our topic page on Risk & Cybersecurity. As your TBM practice expands into risk-informed modeling, these resources will help ensure that every cost is backed by context, accountability, and compliance.
Next Steps
While you’re here, join the TBM Council to connect with peers and stay updated on all things TBM. Explore our communities to see how others are tackling similar challenges, or check out our Knowledge Base for frameworks, case studies, and how-to guidance. Learn more about the TBM Framework and how it supports smarter decision-making across IT and Finance. You can also attend an upcoming event, pursue training or certification, or see how our partners are contributing to this area of TBM practice.
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