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Data Engine H&S: H&S Trends

Introduction

Data Engine H&S: H&S Trends are built on the same framework as Footfall Trends, but have their own charts and filtering options. They provide a more detailed and comprehensive analysis than the visualisations available in Dataengine H&S: Live H&S.

H&S Trends are structured into three components:

  • Weekly Trends: Review a week's performance and compare the current week's data against historical periods, such as the previous week and the same week in previous years, to identify short- to medium-term trends and patterns.
  • Monthly Trends: Review a month's performance and compare the current month's data against historical periods, such as the previous month and the same month in previous years, to identify medium-term trends and seasonal patterns.
  • Annual Trends: Review a year's performance and compare the current year's data against historical periods, such as previous years, to identify long-term trends, growth patterns, and performance changes over time.
Filtering

There are a variety of filters available in H&S Trends, including:

  • Filter by site,
  • Filter by year, month, or week,
  • Filter by rule,
  • Filter by camera,
  • Filter by category,

Enabling users to analyse historical data (e.g., 2026 July for Location 1) as seamlessly as the current week. 

Alongside the filters, users are presented with at-a-glance-metrics such as week-over-week change or previous month's total to provide a baseline snapshot of performance.

Visualisations
  • Compare compliance vs non-compliance trends.
  • Understand the distribution of compliance and non-compliance.
  • Identify areas of non-compliance by location.
  • Analyse trends over different time periods.
  • Identify changes in compliance performance over time.
  • Review peak periods of non-compliance.
  • Compare performance across a different site or zone.
  • Understand recurring compliance issues and patterns.

Complete 24 Aug 2026

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