- Die Berichterstattung zu Concurrent-Lizenzen gibt Aufschluss darüber, wie gemeinsam genutzte Lizenzpools tatsächlich von den verschiedenen Benutzern und im Zeitverlauf genutzt werden.
- Nutzungsdaten können Spitzen, Ablehnungen, eine zu geringe Auslastung sowie Möglichkeiten zur Neugewichtung von Lizenzpools aufzeigen.
- Mithilfe von Berichten können Unternehmen fundiertere Entscheidungen hinsichtlich des Erwerbs und der Optimierung von Concurrent-Lizenzen treffen.
Gerade in der Berichterstattung über gleichzeitige Lizenzen liegen die eigentlichen Optimierungspotenziale für Unternehmen, die mit gebündelten Lizenzmodellen arbeiten. Nutzungsdaten in der richtigen Detailtiefe decken Spitzenauslastungsmuster, das „Camping“-Verhalten, ungenutzte Ausleihen und die Unterauslastung auf – Aspekte, die das einfache Lizenz-Tool nicht sichtbar macht. Open iT positioniert „ LicenseAnalyzer “ als die Plattform, die das Reporting zu Concurrent-Lizenzen in eine strategische Analysefunktion verwandelt – ein dokumentiertes Bild davon, wie der Lizenzpool tatsächlich genutzt wird, im Vergleich zu dem Vertrag, für den das Unternehmen bezahlt, und dem Bedarf, den die Entwicklungsarbeit erzeugt.
In our previous article, “Concurrent License Usage: What You Need to Know,” we explored how concurrent licensing allows organizations to share a pool of software licenses across multiple users. This model helps maximize license utilization while controlling the cost of expensive engineering and enterprise software.
But understanding how concurrent licensing works is only the first step.
Sobald Lizenzen in Produktionsumgebungen bereitgestellt sind, stellen Unternehmen tiefgreifendere betriebliche Fragen:
- Werden Lizenzen tatsächlich effizient genutzt?
- Wann treten Nutzungsspitzen auf?
- Sind Lizenzverweigerungen auf eine tatsächliche Nachfrage oder auf eine ineffiziente Nutzung zurückzuführen?
- Do users have idle periods during their work sessions?
These questions cannot be answered by license servers alone. This is where concurrent license usage reporting and software license usage reporting become essential.
By analyzing software license usage data over time, organizations can uncover hidden usage patterns, understand license demand, and identify opportunities for software license optimization.
In diesem Artikel werden wir uns mit folgenden Themen befassen:
- What software license usage reporting is and why it matters
- Warum Unternehmen eine Berichterstattung über gleichzeitige Lizenzen benötigen
- Welche Kennzahlen sind bei der Berichterstattung zur Lizenznutzung von Bedeutung?
- How usage data exposes demand patterns across teams and projects
- How reporting helps identify license optimization opportunities
We will also get a glimpse of how Chiyoda Philippines used license usage reporting to gain visibility into software consumption and right-size its license pool.
What Is Software License Usage Reporting?
Software license usage reporting is the process of collecting, analyzing, and visualizing license activity data to understand how software licenses are consumed across users, teams, and time periods.
In concurrent licensing environments, this is often referred to as concurrent license reporting, where shared license usage is analyzed across a common license pool.
Instead of relying on raw license server logs, software license usage reporting tools transform license activity into insights on utilization and demand patterns.
These insights help teams evaluate efficiency and identify opportunities to improve access and optimize software investments and support software license optimization efforts.
WEBINAR: Raw license data alone does not drive decisions. Watch “From Data to Decisions” to see how organizations turn usage data into actionable insights for license optimization. Here’s your invitation to watch the recording.
Open iT | Webinar On-Demand
Analysen zur Lizenznutzung für Entwicklungsteams
Key Concepts in Concurrent License Reporting
- Lizenzauslastung – Der prozentuale Anteil der verfügbaren Lizenzen, die im Laufe der Zeit aktiv genutzt werden
- License Denials – Failed license requests when no licenses are available
- Idle Sessions – Licenses that remain checked out without active use
- Spitzenauslastung – Die höchste Anzahl an Lizenzen, die während eines bestimmten Zeitraums gleichzeitig genutzt wurden
- Tatsächliche aktive Nutzung – Die tatsächliche Nutzeraktivität, gemessen anhand von CPU-, E/A- und Eingabeereignissen, nicht nur anhand der Lizenzausleihe
Why Do Organizations Need Software License Usage Reporting?
Organizations rely on concurrent license reporting and software license usage reporting to understand how shared license resources are actually consumed across the enterprise.
As discussed earlier, concurrent licensing allows multiple users to draw from a shared pool of software licenses. While this model improves flexibility, it can make usage patterns difficult to interpret without structured reporting.
Lizenzserver erzeugen große Mengen an Aktivitätsdaten, darunter:
- Lizenzausleihe
- Lizenz-Check-ins
- Lizenzverweigerungen
- Sitzungsdauer
However, raw logs alone rarely provide clear insight.
This is where software license usage reporting tools play a critical role, transforming raw data into actionable insights, allowing organizations to:
- Track license utilization trends
- Identify peak demand periods
- Lizenzen mit unzureichender Anzahl erkennen
- Understand how licenses are used across teams
Dank dieser Transparenz können IT-Teams fundierte Entscheidungen hinsichtlich der Lizenzvergabe, der Beschaffung und der Optimierung treffen.
DEMO: Verwandeln Sie die Berichterstattung über concurrent Lizenzen in echte Kosteneinsparungen.
Which Key Metrics Matter in Software License Usage Reporting?
Software license usage reporting tools analyze certain metrics to reveal how licenses are consumed across users, teams, and time periods.
These metrics are foundational to concurrent license reporting, helping organizations assess license pool sizing, identify demand spikes, and evaluate usage efficiency.
Zu den wichtigsten Kennzahlen gehören:
License Utilization Rate
Measures the percentage of available licenses in use during a given time period. High utilization may indicate heavy demand, while low utilization may suggest overprovisioning.
Peak Concurrent Usage
Shows the maximum number of licenses used simultaneously. This metric helps determine whether the license pool can support demand during busy periods.
License Denials
Occurs when a user requests a license but none are available. Frequent denials may indicate insufficient capacity or temporary demand spikes.
Idle License Time
Identifies licenses that remain checked out but inactive. These sessions can often be reclaimed to improve license availability.
Session Duration
Measures how long users keep licenses checked out, helping identify inefficient or extended session duration.
While these metrics provide visibility into license activity, deeper analysis often reveals usage behaviors that are not immediately obvious.
How Does Usage Reporting Reveal Hidden License Behavior?
Die Nutzungsauswertung deckt verborgene Lizenznutzungsmuster auf, indem sie historische Lizenzaktivitäten, inaktive Sitzungen und Spitzenauslastungsmuster im Zeitverlauf analysiert.
These insights are especially important when examining concurrent license usage, where shared resources can mask inefficiencies.
When license denials occur, organizations often assume that additional licenses are required. However, deeper analysis of usage data frequently reveals patterns that are not immediately visible in raw license server logs.
This is particularly important when analyzing concurrent licensing, where shared usage can obscure inefficient or idle sessions.
Licenses may remain checked out while applications are idle, and short bursts of demand may temporarily exhaust the license pool. These bursts often reflect peak concurrent usage, which may not be visible in average utilization, while extended session duration can indicate licenses being held longer than necessary.
Basic software license usage reporting tools track license checkouts, but deeper analysis reveals how licenses are actually used. These insights are critical for software license optimization, as they expose inefficiencies that are not immediately visible, such as imbalances in license allocations across teams.
Durch die Analyse der tatsächlichen aktiven Nutzung – basierend auf CPU-, E/A- und Eingabeaktivitäten – können Unternehmen zwischen inaktiven und produktiven Sitzungen unterscheiden.
LEARN MORE: About our True Active Usage capabilities here.
INSIGHT: License Shortages Are Often Usage Problems
Die Ablehnung von Lizenzanträgen bedeutet nicht immer, dass Unternehmen mehr Lizenzen benötigen. In vielen Fällen zeigen die Auswertungen, dass Lizenzen länger als nötig gehalten werden oder ungleichmäßig auf die Teams verteilt sind.
By addressing these inefficiencies, organizations can often improve license availability without increasing the size of their license pool.
License Usage Reporting Insights at Chiyoda Philippines
Engineering firm Chiyoda Philippines needed greater visibility into how expensive engineering software licenses were used across project teams. Without detailed reporting, it was difficult to determine whether licenses were fully utilized or overprovisioned.
By implementing software license usage reporting with Open iT, Chiyoda Philippines gained reliable visibility into license usage across teams.
Durch diese Umstellung konnte das Unternehmen bei der Lizenzplanung und -optimierung von manuellen, anfragenbasierten Entscheidungen zu einem datengestützten Ansatz übergehen.
Dank der Nutzungsberichte gelang Chiyoda Philippines der Übergang vom Lizenzmanagement zur Lizenzoptimierung:
| Fläche | Before Usage Reporting | After Usage Reporting |
| Sichtbarkeit der Lizenz | Begrenzte, manuelle Datenerfassung | Zuverlässige, detaillierte Nutzungsberichte |
| Entscheidungsfindung | Auf Grundlage von Nutzeranfragen und einer Schätzung | Datengestützte Geschäftsentscheidungen |
| Lizenzvergabe | Unklare Rechtslage bezüglich der Lizenzierung | Auf die tatsächliche Nutzung abgestimmte Lizenzen |
| Lizenzauslastung | Idle and unused licenses not identified | Unused licenses identified and optimized |
| Kostenmanagement | Softwarekosten lassen sich nur schwer kontrollieren | Deutliche Senkung der Softwareausgaben |
| Lizenzplanung | Reaktiver Einkauf | Prognosegestützte Lizenzplanung |
MEHR ERFAHREN:Die vollständige Fallstudie zu Chiyoda Philippines.
How Can Reporting Reveal Demand Patterns Across Teams and Projects?
Concurrent license reporting reveals demand patterns by showing when, where, and how licenses are consumed across the organization.
Concurrent license usage rarely occurs evenly across users or time periods. Instead, demand typically fluctuates based on project cycles, team workflows, and regional schedules.
By analyzing usage data over time, organizations can identify patterns such as:
Team-Based Demand
Bestimmte Abteilungen oder Entwicklungsteams können während aktiver Projektphasen einen größeren Anteil der Lizenzen beanspruchen.
Project Cycle Spikes
Simulation, modeling, or design workloads often generate demand spikes during specific stages of development.
Nutzung nach Tageszeit
Peak license activity may occur during core working hours, while variations in session duration may indicate differences in workload intensity.
Geografische Verteilung
Bei globalen Organisationen können sich die Nutzungsmuster je nach Zeitzone und Betriebszeiten von Region zu Region unterscheiden.
Understanding these patterns helps organizations see how concurrent license usage shifts across teams and project phases, anticipate demand, and align license availability with operational needs.
These insights play a key role in software license optimization, helping organizations align license supply with actual demand.
Once demand patterns become visible, organizations can begin identifying opportunities to improve license efficiency.
How Can Reporting Identify License Optimization Opportunities?
Software license usage reporting supports software license optimization by revealing inefficiencies in how licenses are allocated and used.
Once organizations understand their usage patterns, they can begin improving how license resources are distributed across teams and projects. This enables more effective license allocation based on real demand.
Software license usage reporting tools support this process by identifying inefficiencies and highlighting areas for optimization.
Zu den gängigen Optimierungsmöglichkeiten gehören:
Reducing Idle Licenses
- Reporting reveals sessions where licenses remain checked out but inactive
- Monitoring session duration helps identify licenses held longer than necessary
- Durch die Umsetzung von Richtlinien zur Rückgewinnung inaktiver Sitzungen werden ungenutzte Lizenzen in den Pool zurückgeführt
Right-Sizing License Pools
- Historische Nutzungsdaten decken überdimensionierte oder zu kleine Lizenzpools auf
- Die Anpassung der Lizenzanzahl an den tatsächlichen Bedarf steigert die Effizienz und senkt die Kosten
Balancing Usage Across Teams
- Manche Teams verbrauchen in bestimmten Projektphasen durchweg mehr Lizenzen
- Die Berichterstattung ermöglicht eine Umverteilung und politische Anpassungen zur Verbesserung der Verfügbarkeit von Lizenzen
Managing Short Demand Spikes
- Temporary demand spikes can create contention during peak concurrent usage, even when average utilization remains moderate
- User behaviors such as “camping” or “hogging” licenses (holding them longer than necessary or while idle) can artificially inflate peak concurrent usage and increase license denials, even without true demand spikes
- Understanding these spikes helps organizations plan for peak periods without expanding license pools
With these insights, organizations can make targeted adjustments that improve license efficiency while maximizing the value of existing software investments.
INSIGHT: Visibility Often Leads to Optimization
When organizations gain clear visibility into license usage patterns, they often discover that optimization opportunities already exist within their current license environment.
Reporting enables IT teams to make data-driven adjustments that improve license availability without immediately increasing software spending.
Advanced software license usage reporting tools rely on structured datasets to analyze license activity on a scale. In Open iT, these datasets are organized as data types, enabling detailed reporting across users, applications, and time periods.
LEARN MORE: Open iT data types in the documentation portal.
Key Takeaways: Moving from Visibility to Optimization
Concurrent license reporting helps organizations move from basic visibility to data-driven software license optimization.
By understanding usage patterns, organizations gain a clearer view of how shared licenses behave in real environments.
Open iT can support organizations in monitoring and analyzing concurrent license usage through software license usage reporting. LicenseAnalyzer™ provides detailed visibility into license utilization, demand patterns, and optimization opportunities. Schedule a demo or have a representative call you to see how.
Machen Sie die Berichterstattung über gleichzeitige Lizenzen zu echten Kosteneinsparungen.
