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ITSM ROI Calculator: Data-Driven Insights

📑 10 slides 👁 35 views 📅 1/21/2026
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Introduction

Interactive ROI calculator for ITSM solutions.

Introduction
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Core Principles

  • Neutral analysis, no sales pitch—only factual comparisons.
  • Minimal input required: company size, IT spend, ticket volume, resolution time, current platform.
  • Uses standard formulas for cost per ticket, resolution time, and efficiency gains.
Core Principles
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Key Inputs & Assumptions

  • Company size and IT spend drive ROI calculations.
  • Missing data inferred using 2023–2025 benchmarks.
  • Helix outperformance highlighted in bold green.
Key Inputs & Assumptions
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Current Standing vs. Benchmarks

  • Compare your metrics to industry averages.
  • Visualization of efficiency gaps (e.g., resolution time, cost per ticket).
  • Helix performance highlighted where superior.
Current Standing vs. Benchmarks
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Projected ROI Scenarios

  • Base case vs. AI-enabled best-case projections.
  • ROI formula: [(Savings - Cost) / Cost] * 100.
  • NPV calculation with 5% discount rate.
Projected ROI Scenarios
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Competitive Positioning

  • Table comparing ServiceNow, Jira, Remedy, and Helix.
  • Metrics: efficiency gain, AI depth, 3-year ROI.
  • Helix leads in AI automation (40–45% efficiency gain).
Competitive Positioning
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ServiceNow User Insights

  • Mature platform but optimization opportunities remain.
  • Helix offers incremental gains in AI automation.
  • Focus on predictive ops for additional ROI.
ServiceNow User Insights
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Jira/Remedy User Insights

  • Cost-efficient but lacks advanced automation.
  • Transformational ROI potential with Helix.
  • Helix reduces ticket costs by 35% (IDC 2024).
Jira/Remedy User Insights
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Recommendations

  • Automate triage to reduce resolution time.
  • Invest in predictive ops for long-term savings.
  • Helix as gap filler if benchmarks justify.
Recommendations
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Conclusion

  • Data-driven insights for ITSM investment decisions.
  • Helix excels in AI automation and ROI potential.
  • Next steps: refine inputs for personalized analysis.
Conclusion
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