SOLUTIONS

Open iT solves the problem of managing software without accurate usage data, replacing assumptions with measurable insights that support cost control, availability planning, and strategic decisions.

Open iT reduces costs by identifying unused, underutilized, or inefficiently allocated licenses, enabling right-sizing and better purchasing decisions.

Yes. Open iT highlights optimization opportunities, excess capacity, and usage inefficiencies.

Open iT improves utilization by reallocating unused licenses, reducing idle sessions, and aligning license counts with actual demand.

Yes. Open iT centralizes usage data across vendors, regions, departments, and environments into a single enterprise view.

Open iT links usage to users, departments, projects, and locations, enabling clear visibility into cost drivers.

Yes. Open iT transforms raw data into clear recommendations and optimization insights.

Open iT provides verified usage metrics and trends, enabling decisions based on measurable evidence.

The platform supports decision-making through dashboards, historical trends, forecasting, and scenario modeling.

Open iT provides standardized and customizable reports for day-to-day license monitoring and issue resolution.

Open iT delivers normalized, enterprise-level analytics that can be shared across stakeholders or integrated into BI platforms.

Yes. Open iT strengthens SAM initiatives with accurate usage tracking, governance support, and audit-ready reporting.

Yes. Open iT standardizes license management by normalizing multi-vendor data into consistent metrics.

Open iT supports procurement, optimization, renewal, and retirement decisions through continuous usage analysis.

Open iT supports planning by analyzing historical usage, growth trends, and peak demand patterns.

Yes. Forecasting capabilities help anticipate future demand and renewal requirements.

Yes. Open iT monitors peak usage and denials, enabling proactive mitigation.

Open iT identifies redundant or overlapping applications, enabling portfolio simplification.

Yes. Open iT supports concurrent, named-user, token-based, subscription, and usage-based licensing structures.

Open iT provides objective usage evidence to strengthen negotiation positions.

By comparing actual consumption to entitlements, Open iT enables informed discussions around pricing and quantities.

Yes. Documented usage trends support renewal and expansion decisions.

Yes. Usage analytics align software investments with long-term business goals.

Open iT provides historical insight and scenario modeling to guide sustainable licensing strategies.

Open iT analyzes concurrency and peak demand to ensure sufficient license availability.

Open iT correlates usage with system metrics to identify performance constraints.

Yes. Automation, alerts, and analytics reduce manual effort and reactive management.

Open iT provides continuous visibility into waste and inefficiencies, enabling structured cost optimization initiatives.

Yes. Open iT is designed for ongoing monitoring and improvement, not one-time analysis.

Open iT extends analytics to cloud and SaaS usage, helping control consumption-based costs.

Yes. Open iT supports hybrid deployments across on-prem and cloud.

Yes. Open iT is vendor-neutral and supports diverse software ecosystems.

Yes. Open iT provides a shared source of truth that aligns engineering and IT priorities.

Open iT delivers deep usage visibility for high-cost engineering applications, improving availability and cost efficiency.

Yes. Open iT enables chargeback and showback models based on actual usage.

Open iT enforces transparency and accountability through standardized metrics and access controls.

Yes. Open iT enables centralized oversight while supporting distributed users.

Yes. Open iT provides audit-ready usage records and compliance reporting.

Yes. Verified historical data reduces exposure during vendor audits.

Open iT connects software usage to business demand, enabling better alignment between IT and organizational goals.

Yes. Open iT is built to scale with increasing users, applications, and data complexity.