Retail Crime

This Tableau Accelerator allows you to:

• Track and reduce retail crime
• Proactively address and mitigate criminal activities
• Protect assets
• Ensure the safety of employees and customers
• Identify and implement optimal security models
• Focus efforts on high-risk areas to prevent crime-related losses
• Identify stores in need of security investment for targeted improvements

Demo video

Answer key business questions

• How exposed are we to retail crime?
• How does this affect our results?
• How effective are we at preventing retail crime?
• Where should we focus our efforts to minimise retail crime?
• Which stores require specific attention?
• Where should we invest next to maximise impact?

Monitor and improve KPIs

Sales

• Total Sales $: Total amount of sales done in stores (sell-out, expressed in currency)
• Sales $ per Store: Average Sales amount per store (all active stores over the period)

Crimes

• Total Crime $: Total Crime amount over the period (expressed in currency)
• Average Crime $: Average Crime amount per crime (expressed in currency)
• Nb of Crimes: Total number of crimes over the period
• Crime vs Sales %: Crime amount as percentage of Total Sales amount (expressed in percentage)
• Crime $ per Store: Average Crime amount per Store (expressed in currency)

Stores

• Nb of Stores: Total number of stores having a sales transaction or a crime over the period

Loss Prevention

• Total Prevention $: Total cost of prevention measures implemented (expressed in currency)
• Estimated Crime Reduction $: Estimated amount of the impact of security measures in place to reduce losses from retail crime. This estimation is calculated in comparison to Total Crime $ of stores with the weakest security measures (expressed in currency)
• Estimated Net Benefits $: Estimated amount of benefits from implementing security measures. (expressed in currency)
• Estimated ROI %: Estimated Return On Investment from implementing security measures (expressed in percentage)

Required attributes

This Tableau Accelerator uses two concatenated datasets: “Reported Crime” and “Retail Sales”. You must use the same Shops and Product lines in both datasets to get a meaningful result in the Tableau Accelerator.

Reported Crimes

• Crime ID (string): Unique Identifier of the crime
• Date (date): Crime date
• Shop (string): Shop name
• Country (string; role: country): Country where the shop is located
• State (String; role: province): State where the shop is located
• City (string; role: city): City where the shop is located
• Store Latitude (numeric): Latitude where the shop is located
• Store Longitude (numeric): Longitude where the shop is located
• Security Model (string): The security model refers to the strength of measures in place to protect assets. Expected values: “Very Low”, “Low”, “Medium”, “High”, “Very High””
• Security Model Description (string): The security model description details the measures in place to protect assets. e.g: “Employee Training”, “Employee Training + Surveillance System” etc.
• Product Line (string): Product Line, Product Category, Business Line...
• Source of Crime (string): Source of Crime e.g: “Customer Theft”, “ORC - Organised Retail Crime”, “Employee Theft”, “Supplier/Warehouse Theft” etc.
• Crime Amount (numeric): Crime amount

Retail Sales

• Date (date): Sales date
• Shop (string): Shop name
• Country (string; role: country): Country where the shop is located
• State (String; role: province): State where the shop is located
• City (string; role: city): City where the shop is located
• Store Latitude (numeric): Latitude where the shop is located
• Store Longitude (numeric): Longitude where the shop is located
• Security Model (string): The security model refers to the strength of measures in place to protect assets. Expected values: “Very Low”, “Low”, “Medium”, “High”, “Very High””
• Security Model Description (string): The security model description details the measures in place to protect assets. e.g: “Employee Training”, “Employee Training + Surveillance System” etc.
• Product Line (string): Product Line, Product Category, Business Line...
• Sales Amount (numeric): Sales amount