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ZooMonitor Community: A Tool for Evaluating Population-Level Behavior Questions.

Animals : an open access journal from MDPI·2026
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Correction: Gernhardt et al. Ex Vivo Computed Tomographic Morphometry and Motion of the Native and Fractured Equine Accessory Carpal Bone. <i>Animals</i> 2026, <i>16</i>, 1132.

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Power Up: Combining Behavior Monitoring Software with Business Intelligence Tools to Enhance Proactive Animal Welfare

Jason David Wark1

  • 1Animal Welfare Science Program, Lincoln Park Zoo, Chicago, IL 60614, USA.

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|July 9, 2022
PubMed
Summary
This summary is machine-generated.

Ongoing animal welfare assessment in zoos benefits from dynamic behavior monitoring. Business intelligence software, like Microsoft Power BI, offers advanced analytics and visualizations for proactive animal management and evidence-based decision-making.

Keywords:
animal welfarebehavior monitoringbusiness intelligencedata visualizationevidence-based decision making

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Area of Science:

  • Zoological research and animal welfare science.
  • Application of data analytics in conservation and animal management.

Background:

  • Animal welfare is a dynamic state requiring continuous evaluation.
  • Ongoing behavior monitoring in zoos and aquariums aids in identifying behavioral changes for proactive management.
  • Traditional methods face challenges in analyzing continuous behavioral data.

Purpose of the Study:

  • To introduce business intelligence (BI) software as a solution for analyzing ongoing behavioral data in zoos.
  • To demonstrate the utility of Microsoft Power BI for integrating data streams, performing advanced analytics, and creating visualizations.
  • To empower zoo researchers and managers with tools for evidence-based decision-making in animal welfare.

Main Methods:

  • Overview of business intelligence software capabilities, focusing on Microsoft Power BI.
  • Description of Power BI's features for data cleaning, shaping, and dashboard creation using a drag-and-drop interface.
  • Presentation of two example dashboards created with Power BI using data from the ZooMonitor app: a quarterly behavior summary and an enrichment evaluation summary.

Main Results:

  • Demonstration of how Power BI can integrate and visualize behavioral data from sources like ZooMonitor.
  • Illustrations of practical applications, including quarterly behavior summaries and enrichment effectiveness evaluations.
  • Successful creation of interactive dashboards for enhanced data interpretation.

Conclusions:

  • Business intelligence software, exemplified by Microsoft Power BI, provides a powerful and accessible solution for dynamic animal welfare monitoring in zoos.
  • The integration of BI tools enhances the ability to analyze complex behavioral datasets, supporting proactive and evidence-based animal management strategies.
  • This approach offers a valuable advancement for zoo professionals seeking to improve animal care through data-driven insights.