- Relacionar el uso de las licencias con los derechos reales ayuda a las organizaciones a tomar decisiones más acertadas en materia de software.
- El análisis de derechos permite determinar si el uso se ajusta a los derechos adquiridos, a las condiciones del contrato y al acceso a las funciones.
- Una mejor correspondencia facilita la optimización, el cumplimiento normativo y unas renovaciones más fundamentadas.
Los datos de uso de licencias, por sí solos, pueden inducir a error con la misma facilidad con la que informan: un patrón de compras elevado no significa nada sin el contexto de los derechos de uso que indique al equipo de SAM si el uso supera, no alcanza o se ajusta a lo estipulado en el contrato. La correspondencia entre el uso y los derechos reales es lo que genera el tipo de información sobre licencias que realmente necesitan las decisiones de adquisición, cumplimiento normativo y optimización. Open iT presenta LicenseAnalyzer como la plataforma que aplica la disciplina de la correspondencia al parque de licencias, convirtiendo los datos de uso en pruebas que la organización puede esgrimir en todas las decisiones posteriores relacionadas con las licencias.
Software license servers report usage at the feature level, while organizations buy entitlements at the package or feature set level. That mismatch prevents teams from seeing the true usage of their purchased license packages and their needs going forward.
Engineering software from Ansys, AspenTech, Dassault, Autodesk, and other vendors powers design, modeling, simulation, and analysis. These applications often represent some of the highest per-seat costs in an IT budget. They also come with complex licensing structures that make cost management challenging. Feature-to-featureset mapping has become essential for engineering software license management because it ties real activity to the packages organizations actually purchase. Unlike most license metering tools, Open iT’s solution can provide the detailed mapping and metering of software license usage to bring full insights to organizations to assist in determining the most effective license position.
Open iT’s feature-to-featureset mapping converts raw feature checkouts into accurate, entitlement-level insights. It supports forecasting, cost optimization, and stronger commercial decisions. It also gives engineering, IT, procurement, and finance teams the data needed to manage rising software spend with control and confidence.
DEMO: Vea su uso real de derechos
Why Raw Feature Data Fails Engineering Teams
Engineering vendors sell bundled packages, but license servers report isolated feature codes. The two rarely align. Entitlements appear as recognizable bundles such as CFD Enterprise, Aspen HYSYS, or Mechanical Pro. License activity appears only as technical feature strings with no link to friendly named package definitions or cost tiers.
Without mapping and normalization, organizations cannot determine:
• Which package was actually consumed;
• Which capabilities drove peak demand;
• Whether high-tier licenses were used unnecessarily;
• Whether entitlements can be shifted without increasing cost.
Feature-level data does not provide commercial context and with vendors like Ansys, there is a many to many ratio. As software costs rise, the lack of alignment between usage and entitlements leads to conservative buying, inflated renewals, and limited negotiating leverage.
See feature-to-featureset mapping in action. Watch the on-demand webinar “Mapping the Way to Efficiency: How Feature-to-Feature Set Mapping Unlocks Value” to learn how feature-level checkouts are translated into entitlement-level insights for clearer reporting, cost control, and stronger commercial decisions. Here’s your invitation to watch the recording.
Open iT | Webinar a la carta
Trazar el camino hacia la eficiencia: Cómo la asignación de funciones a conjuntos de funciones genera valor
Feature-to-Featureset Mapping: Why It Matters
Open iT’s Feature-to-featureset mapping aligns usage with purchased entitlements, showing precisely how engineering teams consume licensed packages. Instead of isolated feature activity, teams see full package consumption, cost tier usage, and cascading behavior.
Esta capacidad revela:
- Demanda real de paquetes
- How many software licenses are needed at 95 percent and 99 percent service levels
- Where usage spikes justify additional investment
- Cuando se compran paquetes en exceso o se infrautilizan
- Cómo se deben reequilibrar los derechos para el próximo ciclo contractual.
Mapping replaces assumptions with operational facts. It establishes an accurate baseline that teams can use to optimize license portfolios.
The Multi-to-Multi Complexity Most SAM Tools Cannot Interpret
Most SAM platforms were built for desktop, SaaS, and end-user applications. Engineering software demands a different level of interpretation.
Here’s why:
- Una misma característica puede estar presente en varios paquetes.
- Un solo paquete contiene docenas de funciones superpuestas.
- Los proveedores aplican una lógica en cascada que cambia el uso entre los distintos niveles de costes.
- No unique feature identifies a package outright.
Una asignación eficaz debe tener en cuenta las relaciones de costes, la disponibilidad de paquetes, las normas de los proveedores y las estructuras de derechos. Las herramientas SAM de uso general no cuentan con la lógica necesaria para interpretar estas relaciones con precisión.
Open iT does. Its advanced algorithm evaluates the links between features and packages, applies cost priorities, and assigns the correct package to each checkout. This creates a precise and defensible view of software license consumption.
Normalization: Making Software License Usage Data Readable
Las cadenas de caracteres de los archivos de licencia están escritas para sistemas, no para personas. No coinciden con los catálogos de precios de los proveedores ni con el lenguaje interno de compras. Esto crea fricciones cada vez que se revisa un informe.
Open iT’s Shared Software Assets Directory (SSAD) normalizes feature names and aligns them with vendor package terminology. Instead of deciphering technical identifiers, stakeholders see clear package names and capability descriptions.
Normalization makes reporting accessible across engineering, IT, procurement, finance, and executive teams. It allows everyone involved in software planning to evaluate the same data with the same understanding.
Los datos mapeados permiten una optimización real de las licencias
Feature-to-featureset mapping unlocks a level of insight that engineering organizations rarely have access to.
- License Efficiency: El uso mapeado revela:
- Concurrencia verdadera
- How many licenses were genuinely required
- ¿Qué paquetes alcanzan la saturación?
- ¿Qué paquetes están inactivos?
- This level of detail supports accurate rightsizing. Engineers get what they need, and the organization avoids unnecessary expansion.
- Service-Level Modeling: Mapped data supports 95 percent and 99 percent service-level calculations. These models identify the software license count required to sustain expected performance without over-purchasing.
- Better Forecasting and Budgeting: El uso mapeado proporciona pruebas objetivas para:
- Planificación de licencias para el próximo año
- Asignación departamental
- Modelización del crecimiento
- Proyecciones de costes
- Posibilidad de realizar devoluciones por el uso real del paquete.
- Teams can eliminate guesswork from engineering software budgeting.
- Stronger Vendor Negotiations: During audits, true-ups, or renewals, vendors often present feature-level usage to justify additional purchases. Feature-level reporting lacks context.
- Mapped reporting shows what the organization actually consumed at the package level. This gives teams a defensible position and helps prevent unnecessary entitlement increases.
- Building the Ideal Software License Mix: Open iT’s simulation capabilities allow organizations to model usage under unlimited licensing. This identifies the best licensing mix based on actual behavior—not sales recommendations.
How Open iT’s Mapping Stands Out
The SAM market offers many tools for general purpose software tracking. Few offer specialized capabilities for engineering software environments—and even fewer provide true feature-to-featureset mapping capabilities.
Open iT’s approach is different:
- Diseñado específicamente para aplicaciones de ingeniería y especializadas.
- Admite modelos de licencia complejos con comportamiento en cascada.
- Normaliza todos los nombres de características para mayor claridad.
- Vincula el uso con los derechos de forma precisa.
- Genera datos sobre los que los líderes pueden actuar.
This capability makes Open iT one of the most effective platforms for engineering software license optimization.
Organizations using Open iT gain full visibility into how packages are consumed, where waste occurs, and how to reshape their entitlements for long-term efficiency.
Cuando el mapeo se hace correctamente
Engineering software costs will continue to increase. Licensing models will continue to shift. Teams that rely only on raw feature data will struggle to control spend. Teams that operate with mapped, normalized, and entitlement-aligned intelligence will make faster and more informed decisions.
Feature-to-featureset mapping fills the biggest data gap in engineering software license management. It connects raw technical activity to commercial entitlements and makes high-cost engineering tools easier to manage, optimize and justify.
Discover how feature-to-featureset mapping can support your engineering software strategy. Contact Open iT and schedule a demo with our experts.
Programe una demostración gratuita de la correspondencia entre funciones y conjuntos de funciones Open iT.
