Introducing: Smart Analytics

Introducing: Smart Analytics

Daten statt Raten! Der Artikel stellt die neuen Smart Analytics von Flexopus vor, mit denen Unternehmen ihre Büroauslastung präzise analysieren können. Erfahre, wie du durch datenbasierte Einblicke Mietkosten optimierst, die Flächennutzung effizient gestaltest und fundierte Entscheidungen für dein hybrides Arbeitsmodell triffst. Die Zukunft des Office-Managements ist messbar.

Frequently Asked Questions summarized

Wie helfen Smart Analytics Unternehmen dabei, ihre Büroflächen effizienter zu verwalten?

Smart Analytics verwandeln anonyme Buchungsdaten in wertvolle Erkenntnisse. Unternehmen sehen genau, welche Wochentage am stärksten frequentiert sind und welche Zonen oder Arbeitsplätze kaum genutzt werden. Diese Transparenz ermöglicht es, ungenutzte Flächen zu identifizieren und gegebenenfalls Mietflächen zu reduzieren oder Räume in attraktivere Formate (z. B. Meeting-Zonen) umzuwandeln. Statt auf vagen Schätzungen basieren Entscheidungen über die Bürogröße und -gestaltung nun auf harten Fakten, was langfristig Kosten spart und die Effizienz steigert.

Welche Vorteile bietet die Echtzeit-Datenanalyse für das Management hybrider Teams?

Für das Management hybrider Teams ist Planungssicherheit entscheidend. Durch die Analyse der Buchungstrends lässt sich vorhersagen, wann das Büro ausgelastet sein wird. Dies hilft bei der Koordination von Team-Events oder der Steuerung der Präsenzzeiten. Die Daten zeigen zudem, ob die angebotenen hybriden Modelle von der Belegschaft angenommen werden. So kann das Unternehmen agil auf die Bedürfnisse der Mitarbeitenden reagieren und sicherstellen, dass die Büroinfrastruktur immer optimal auf die aktuelle Teamdynamik und die hybride Arbeitsweise abgestimmt ist.

Wie wird bei der Nutzung von Smart Analytics der Datenschutz der Mitarbeitenden gewährleistet?

Datenschutz steht bei Flexopus an oberster Stelle. Smart Analytics arbeiten mit aggregierten und anonymisierten Daten. Das bedeutet, dass der Fokus auf der Auslastung von Ressourcen (Tische, Räume, Parkplätze) liegt und nicht auf der Überwachung einzelner Personen. Das Ziel ist die Optimierung der Arbeitsumgebung, nicht die Leistungskontrolle. Durch die strikte Einhaltung der DSGVO-Richtlinien können Unternehmen wertvolle Einblicke gewinnen, während die Privatsphäre jedes Einzelnen zu jeder Zeit geschützt bleibt. Das schafft Vertrauen und Akzeptanz für die digitale Transformation.

Table of contents

In today's society, the collection of data is tainted with a certain amount of mistrust - and rightly so. Almost everyone is told that personal data must be protected to prevent unauthorised sale and malicious use. However, it is important to recognise that collecting data does not always have to be a negative thing. In fact, when data is used responsibly, it can be a powerful tool for solving various problems. Flexopus has introduced the Smart Analytics feature in response to these considerations.

Flexopus' Smart Analytics feature is open on a laptop screen.

Analytics and Statistics

All of the data collected with Flexopus' hot desk booking software is easily accessible to you in a user-friendly format in the Smart Analytics Dashboard. Analysing this historical data at property level provides you with insights into the utilisation of workstations, meeting rooms and parking spaces. Among other things, this tool helps you to identify the most popular properties and determine the days of the week with the highest booking activity. The platform also generates statistics on booking frequency across months, days and hours, providing a comprehensive insight into utilization patterns. 

Select a specific time period for a customized analysis and determine target values for office occupancy. This feature allows you to make informed decisions about downsizing or expansion based on property utilization. Smart Analytics can also help you assess the capacity of meeting rooms based on their size to improve planning. Use the timecard feature to calculate peak booking times at both the building and floor level, broken down by hour.  Overall, these analyses help to effectively optimise your workspace.

Flexopus Smart Analytics also allows you to export the data to ensure more in-depth analyses. With this function, all data collected by Flexopus can be exported in CSV format and further processed in Microsoft Excel, Google Sheets or the data processing program of your choice.

The Heatmap

Flexopus Smart Analytics also includes a handy heat map that provides a comprehensive overview of property utilisation. Identify at a glance properties with low activity and those that are in high demand. Using this feature gives you valuable insights for informed decision making. For example, if the area near the kitchenette is gaining popularity, this indicates a potential need for more desks. On the other hand, you can also consider a smaller office space if many desks are not booked at all or only very rarely. So this particular statistic goes even deeper than the building and floor plan metrics and analyses the properties within a selected floor plan. The heat map provides a breakdown of the collected data by time, building and floor plan and provides nuanced insights for strategic decision-making. Further, it calculates the analysis of each property based on the sum of hours, average and percentage utilization (both daily and in minutes).

User Statistics

As an optional setting and with the express consent of your works council in particular, analyses can be carried out at user level. In this way, office or car park bookings, meeting room reservations and the attendance frequency of certain employees in the office and mobile office can be tracked. However, analyses at user level are deactivated by default in order to prioritize data protection.

Is your data safe?

Protecting data and using it as a tool for better decision-making is a critical balance in today's digital landscape. To meet our data protection and data security standards, the Flexopus standard configuration does not analyze personal data within the dashboard. Analyses are carried out exclusively at object level and thus meet the highest compliance requirements of data protection officers or works councils.

Conclusion

The analysis of historical data serves as a basis for well-founded decisions in the area of organizational and office improvements. Smart Analytics is a helpful tool that serves as a catalyst for implementing strategic cost-cutting measures, increasing employee satisfaction and improving the efficiency of daily office operations. By utilizing this feature, you gain the foresight needed to make proactive adjustments that enable a workspace that not only meets current needs, but also anticipates and adapts to the dynamic demands of the future.

Last updated:

2026-02-20

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Markus Merkle
Markus Merkle
Sales Manager
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