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What are common uses of biometric data?

Data is all around us, and the world’s businesses and organisations are heavily focused on working out how to best utilise it to improve their delivery and results. Biometric data is one fascinating area that offers profound benefits to industries such as financial services and law enforcement. Let’s take a closer look.

What is biometric data?

Biometric data refers to facial scans, fingerprints and voice patterns. It can be used in a huge variety of ways, from unlocking smartphones and controlling access to supporting law enforcement.

How is biometric data used?

In business, a data collection company such as shepper.com will typically focus on customer-related data sets. But in other industries, biometric data is the primary focus. It can be used to grant access control in physical areas with limited or restricted access and to authenticate devices for smartphones and other types of technology.

Biometrics and the government

Biometrics is also used increasingly in financial services to avoid fraud and legitimise online transactions. It can be used to verify identity in a range of contexts, including government purposes like law enforcement, criminal identification and border control. For example, iris and facial scanning are now being used at passport control.

Biometric data and healthcare

Biometric data is also used heavily in the healthcare sector, where it can be analysed to support medical records, identify patients, access private health information and analyse large groups of patient data to assess overall health, trends and outcomes.

Biometric data and businesses

At work, employees can be monitored for attendance, work hours and access to resources. Biometrics can also be used to verify digital signatures. In call centres, it can be used to reduce fraud by verifying identities with voice recognition. In this way, it greatly supports businesses in their employee management for business continuity and governance purposes.

The uses of biometric data are broad, and this type of data is only expected to grow in the coming years as its enabling technologies become integrated into many more everyday devices for ID control and recognition.

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