{"id":11214,"date":"2024-12-11T09:00:00","date_gmt":"2024-12-11T08:00:00","guid":{"rendered":"https:\/\/www.pixid-vms.com\/uk\/?p=11214"},"modified":"2025-08-04T09:37:12","modified_gmt":"2025-08-04T09:37:12","slug":"business-intelligence-temporary-staffing-sector","status":"publish","type":"post","link":"https:\/\/www.pixid-vms.com\/uk\/blog\/business-intelligence-temporary-staffing-sector\/","title":{"rendered":"Business intelligence in the temporary staffing sector"},"content":{"rendered":"
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Business intelligence in the temporary staffing sector: how to analyse data to optimise the use of temporary workers?<\/h1>\n

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Business intelligence<\/strong> (BI) enables businesses in all sectors to master and leverage the potential of Big Data, including human resources (HR). In the temporary staffing sector, data analysis is often employed to optimise costs. However, BI tools can also play a pivotal role in enhancing processes.<\/p>\n

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Between Workforce<\/b> 2.0<\/strong> and traditional agencies, the ideal equilibrium lies in phygital temping<\/strong>, which combines the best of digital techniques with the irreplaceable value of human interaction.<\/p>\n

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Business Intelligence and Big Data<\/h2>\n

The term business intelligence<\/em> entered professional jargon alongside big data<\/strong>, which describes today\u2019s capacity to handle vast amounts of information. Big data is measured in terabytes\u2014equivalent to 1,000 billion bytes. Confronted with such massive datasets, BI has become a vital tool, enabling us to sort, interpret, and act on the vast amounts of data collected.<\/p>\n

BI typically employs data analysis tools<\/strong> that measure and manage the effectiveness of actions across various domains: customer relations, new product launches, and recruitment campaigns, to name a few.<\/p>\n

The process of data analysis involves several key stages:<\/p>\n

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  1. Collecting and sorting<\/strong> the relevant data.<\/li>\n
  2. Analysing and interpreting<\/strong> the insights revealed by the data.<\/li>\n
  3. Establishing and monitoring key performance indicators (KPIs)<\/strong>.<\/li>\n
  4. Optimising processes<\/strong> based on these KPIs.<\/li>\n<\/ol>\n

    Data analysis only proves useful when it drives action<\/strong>, which is subsequently measured to create a virtuous cycle of continuous improvement<\/strong>.<\/p>\n

    Data Analysis in the Temporary Employment Sector<\/h2>\n

    When applied to the temporary staffing sector, business intelligence<\/strong> offers several advantages: reducing costs, saving time, and identifying areas for improvement.<\/p>\n

    Reducing the Costs of Temporary Employment<\/h2>\n

    Implementing effective indicators allows organisations to precisely calculate costs, whether these are internal or invoiced by external providers.<\/p>\n

    For example:<\/p>\n