Analytics

Overview

The Analytics section of Transpeye provides four purpose-built views for understanding patterns across your alert and transaction data. Rather than examining individual records, analytics views aggregate data to reveal trends, outliers, geographic concentrations, and comparative performance across your estate. Each view is accessed from the Analytics dropdown in the navigation bar.

Step-by-Step Guide

Step 1: Open the Drilldown View

In the navigation bar, click Analytics, then click Drilldown. The Drilldown view at /drilldown presents a hierarchical breakdown of alert or transaction activity, starting at the level of your entire estate and allowing you to drill into individual regions, sub-regions, and stores.

How to Use the Drilldown View

The Drilldown view contains a filter panel on the left side and a chart area on the right.

Filters available in Drilldown:

Filter	Purpose
Start Date / End Date	Set the analysis period
Type	Switch between Alerts, Alarms, or Video Events as the data source
Region	Select a region to see a breakdown of its sub-regions
Sub-region	Select a sub-region to see a breakdown of its stores
Store	Select a specific store to see its detail

Navigate through the hierarchy by selecting more specific values in the filter dropdowns. The chart updates to reflect your selection, showing progressively more granular breakdowns as you drill down from estate level to region, sub-region, and store.

You can also navigate using the chart itself — clicking a bar in the chart selects that entity and automatically updates the filters to drill down one level.

Step 2: Open the Timeseries View

In the navigation bar, click Analytics, then click Timeseries. The Timeseries view at /timeseries plots your alert or transaction data as a time series, showing how activity has changed over time.

How to Use the Timeseries View

Use the filter panel to select your date range, data type (alerts, transactions, or events), and optional region and store filters. The chart draws one or more lines representing the selected metric over time. This view is most useful for:

• Identifying increases or decreases in alert frequency over weeks or months
• Spotting seasonal or weekly patterns in exception activity
• Comparing activity before and after an operational change (for example, a new policy deployment or a staff scheduling change)

Hover over any point on the chart to view the exact value for that time interval.

Step 3: Open the Quadrant View

In the navigation bar, click Analytics, then click Quadrant. The Quadrant view at /quadrant plots each store (or region) on a two-dimensional scatter chart with transaction volume on one axis and exception rate on the other.

How to Use the Quadrant View

The quadrant chart divides your estate into four zones:

Quadrant	Volume	Exception Rate	Interpretation
Top Right	High	High	High-traffic, high-risk stores — priority for investigation
Top Left	Low	High	Low-traffic stores with disproportionate exception activity — warrants attention
Bottom Right	High	Low	High-traffic, well-controlled stores — benchmark examples
Bottom Left	Low	Low	Low-traffic, low-risk stores — lower priority

Use the filter panel to switch between viewing by store, sub-region, or region, and to change the date range. Hover over any data point to see the store name and its exact values. Click a data point to navigate to the Drilldown view for that location.

Step 4: Open the Hotspot View

In the navigation bar, click Analytics, then click Hotspot. The Hotspot view at /hotspot displays a geographic representation of exception activity across your estate, allowing you to quickly identify which locations have the highest concentration of alerts.

How to Use the Hotspot View

The Hotspot view presents locations colour-coded or ranked by alert intensity. Locations with more alerts or higher alert scores appear more prominently. Use the date and data type filters to focus the analysis.

This view is well suited to:

• Morning briefings where you need to identify which sites need immediate attention
• Multi-site estate reviews to prioritise field investigations
• Presenting exception activity to management in a visual format

Tips

• Use Drilldown to prepare for investigations. Before opening the Transactions or Alerts pages, use the Drilldown view to identify which store or operator area you should focus on. This saves time by narrowing your scope.
• Use Timeseries to validate policy changes. After enabling or adjusting a policy, check the Timeseries view over the following days to confirm whether alert volumes have changed as expected.
• Use Quadrant to prioritise store visits. If your organisation conducts periodic in-store investigations, the Top Right quadrant (high volume, high exceptions) indicates which stores to visit first.
• Filter consistently across all views. The date range and data type filters work similarly across all four analytics views. Apply the same period in each view to ensure your comparisons are consistent.
• Drilldown supports multiple alert types. Switch the Type filter between Transactions, Alarms, and Video Events to examine exception activity from different data sources within the same hierarchical view.

Troubleshooting

Problem	Solution
The Drilldown chart shows no bars	There may be no data for the selected type and date range. Try switching the Type filter or widening the date range.
The Quadrant chart is empty	Ensure your stores have transaction and alert data for the selected period. New accounts or recently connected sites may have insufficient data to populate the chart.
The Timeseries line is flat or shows zeros	Check that your policies are enabled and that agents are connected and sending data. A flat line on a live account may indicate a data ingestion issue. Contact your administrator.
The Hotspot view does not highlight any locations	If all stores have similar alert counts, the relative colouring may be subtle. Check the underlying alert data in the Alerts or Drilldown view.
Clicking a chart point does not navigate to Drilldown	Ensure your browser session is still active. If the login page appears, sign in again.