- Le fait de mettre en correspondance l'utilisation des licences avec les droits réels aide les organisations à prendre des décisions plus éclairées en matière de logiciels.
- La cartographie des droits permet de vérifier si l'utilisation est conforme aux droits acquis, aux clauses du contrat et à l'accès aux fonctionnalités.
- Une meilleure cartographie favorise l'optimisation, la conformité et des renouvellements mieux éclairés.
Les données d’utilisation des licences, prises isolément, peuvent tout autant induire en erreur qu’elles éclairent : un nombre élevé de transactions n’a aucun sens sans le contexte des droits d’accès, qui permet à l’équipe SAM de déterminer si l’utilisation est supérieure, inférieure ou conforme au contrat. C’est en mettant en correspondance l’utilisation avec les droits réels que l’on obtient le type d’informations sur les licences dont les équipes chargées des achats, de la conformité et de l’optimisation ont réellement besoin. Open iT positionne LicenseAnalyzer comme la plateforme qui applique cette discipline de mise en correspondance au parc de licences — transformant ainsi les données d’utilisation en éléments probants que l’entreprise peut invoquer pour justifier chacune de ses décisions en matière de licences en aval.
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.
DÉMO : Découvrez votre véritable utilisation des droits
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 On-Demand
La cartographie au service de l'efficacité : Comment la cartographie d'un ensemble de caractéristiques à un autre débloque la valeur
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.
Cette capacité révèle :
- Demande réelle de colis
- How many software licenses are needed at 95 percent and 99 percent service levels
- Where usage spikes justify additional investment
- Lorsque les forfaits sont surachets ou sous-utilisés
- Comment rééquilibrer les droits pour le prochain cycle contractuel
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:
- Une même fonctionnalité peut exister dans plusieurs paquets.
- Un seul package contient des dizaines de fonctionnalités qui se chevauchent.
- Les fournisseurs appliquent une logique en cascade qui fait passer l'utilisation d'un niveau de coût à un autre.
- No unique feature identifies a package outright.
Une cartographie efficace doit tenir compte des relations entre les coûts, la disponibilité des offres, les règles des fournisseurs et les structures d'attribution des droits. Les outils SAM à usage général ne disposent pas de la logique nécessaire pour interpréter ces relations avec précision.
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
Les chaînes de caractères dans les fichiers de licence sont écrites pour les systèmes, pas pour les personnes. Elles ne correspondent pas aux listes de prix des fournisseurs ni au langage interne des achats. Cela crée des frictions à chaque fois qu'un rapport est examiné.
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.
Les données cartographiées permettent une optimisation réelle des licences
Feature-to-featureset mapping unlocks a level of insight that engineering organizations rarely have access to.
- License Efficiency: L'utilisation cartographiée révèle :
- Véritable concurrence
- How many licenses were genuinely required
- Quels paquets ont atteint leur saturation ?
- Quels paquets sont inactifs ?
- 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: L'utilisation cartographiée fournit des preuves factuelles pour :
- Planification des licences pour l'année prochaine
- Répartition par département
- Modélisation de la croissance
- Prévisions de coûts
- Possibilité de refacturer en fonction de l'utilisation réelle du forfait
- 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:
- Conçu spécialement pour les applications d'ingénierie et spécialisées
- Prend en charge les modèles de licence complexes avec comportement en cascade
- Normalise tous les noms de fonctionnalités pour plus de clarté.
- Lien entre l'utilisation et les droits d'accès précis
- Produit des données exploitables par les responsables
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.
Quand la cartographie est bien faite
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.
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