- ライセンスの使用状況を実際の利用権限と照合することで、組織はソフトウェア に関するより的確な意思決定を行うことができます。
- 権利マッピングにより、利用状況が購入した権利、契約条件、および機能へのアクセス権と一致しているかどうかが明確になります。
- マッピングの精度を高めることで、最適化やコンプライアンスの確保、そしてより的確な契約更新が可能になります。
ライセンスの使用状況データだけでは、有益な情報を提供できる反面、誤解を招きやすいものです。チェックアウトの頻度が高いという事実だけでは、その使用状況が契約範囲を上回っているか、下回っているか、あるいは範囲内にあるかをSAMチームに示す「利用権限」の文脈がなければ、何の意味も持ちません。 使用状況を実際のライセンス権限と照合することによって初めて、調達、コンプライアンス、最適化の意思決定に実際に必要なライセンスインサイトが得られます。Open iT は、「LicenseAnalyzer 」を、ライセンス資産全体にこの照合作業を導入するプラットフォームとして位置付けています。これにより、使用状況データは、組織がその後のあらゆるライセンスに関する意思決定において正当性を主張できる根拠へと変換されます。
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.
デモ: 真の権利使用状況を確認する
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 ｜ウェビナー・オンデマンド
効率化への道をマッピングする：フィーチャー・トゥ・フィーチャー・セット・マッピングがいかに価値を解き放つか
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.
この能力は明らかにする：
- 真のパッケージ需要
- How many software licenses are needed at 95 percent and 99 percent service levels
- Where usage spikes justify additional investment
- パッケージが過剰購入されたり、十分に活用されていない場合
- 次期契約サイクルに向けた給付制度の再調整方法
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:
- 単一の特徴が複数のパッケージに存在する場合がある。
- 単一のパッケージには、数十の重複する機能が収められている。
- ベンダーは、コスト階層間で使用量を移行するカスケードロジックを適用する。
- No unique feature identifies a package outright.
効果的なマッピングには、コスト関係、パッケージの可用性、ベンダーのルール、および権利構造を考慮する必要があります。汎用的なSAMツールには、これらの関係を正確に解釈するロジックが備わっていません。
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
ライセンスファイルの機能文字列はシステム向けに記述されており、人間向けではない。ベンダー価格表や内部調達用語とは一致しない。これにより、レポートがレビューされるたびに摩擦が生じる。
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.
マッピングされたデータが実際のライセンス最適化を実現
Feature-to-featureset mapping unlocks a level of insight that engineering organizations rarely have access to.
- License Efficiency: マッピングされた使用状況は次のことを明らかにする：
- 真の並行性
- How many licenses were genuinely required
- どのパッケージが飽和状態に達したか
- どのパッケージがアイドル状態か
- 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: マッピングされた使用状況は、以下の事実に基づく証拠を提供する：
- 次年度のライセンス計画
- 部門別配分
- 成長モデリング
- コスト予測
- 実際のパッケージ使用量に基づくチャージバック機能
- 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:
- エンジニアリングおよび特殊用途向けに特別に設計された
- カスケード動作を備えた複雑なライセンスモデルをサポートします
- 明瞭化のため、すべての特徴名を正規化します
- 使用を権利付与に正確に紐付ける
- データリーダーが活用できるデータを生成する
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.
マッピングが正しく行われたとき
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.
Open iT機能対機能セットマッピングの無料デモを予約する
