Turning Security Data Into Revenue Intelligence
Using Existing Security Technology to Inform Staffing, Access, and Revenue Decisions at a Credit Union ATM Site
Security data didn’t just confirm risk. It revealed opportunity and informed a revenue decision.
The Challenge
Financial institutions often view security systems as a necessary expense focused on loss prevention, compliance, and incident response. Rarely are these systems leveraged to inform operational strategy or revenue decisions.
A regional credit union faced uncertainty at a standalone ATM site with limited lobby hours. To manage staffing costs, the location was closed two days per week. Leadership suspected reduced hours might be impacting member access and revenue, but lacked data to justify a change.
The Risk
Without insight into real member behavior, the credit union risked:
Lost transactions and product opportunities
Member frustration and dissatisfaction
Decisions driven by assumptions instead of data
Underutilization of existing technology investments
The absence of data created operational blind spots.
The Strategy
During a scheduled security installation, the SecurAlarm team observed repeated attempts by members to access the closed location. Rather than relying on anecdotal feedback, the team proposed leveraging existing video infrastructure to capture objective data.
The goal was simple. Turn security data into actionable business intelligence without adding cost or complexity.
The Solution
SecurAlarm enabled a people-counting analytic at the branch entryway using existing cameras. The analytic tracked how many members approached the building during closed hours, capturing real world behavior without additional hardware or operational burden.
Results at a Glance
More than 10 member visits recorded during a single closed day
Clear evidence of unmet demand during reduced hours
No new hardware or infrastructure investment required
Immediate visibility into member behavior patterns
The Impact
The data provided clarity leadership had not previously had.
Even one completed transaction or new account from those missed visits would have justified the cost of staffing the branch during closed hours. Beyond revenue considerations, the insights revealed a member experience gap. Members arrived ready to transact and left unable to access services.
Armed with real data, the credit union began evaluating expanded hours at the ATM site and exploring similar analysis across other locations.
Additional outcomes included:
Data driven evaluation of branch and lobby hours
Market testing of temporary or adjusted schedules
Improved alignment between staffing and member demand
Stronger ROI from existing security investments
Executive Takeaway
Modern security systems can do far more than protect assets. When paired with intelligent analytics, they provide actionable insight that supports smarter staffing decisions, better alignment with member behavior, and stronger returns on existing technology investments.
By leveraging existing security infrastructure to capture real world behavior, this credit union replaced assumptions with data and turned security into a revenue influencing tool.
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