Mobile devices have become the backbone of business operations, supporting everything from frontline work to internal collaboration and customer engagement. Below the surface, the data they generate can give leaders the inside scoop on how teams work and systems behave, and where meaningful improvements might be made.

The strongest mobile strategies use analytics as an early warning system for problems and a roadmap for efficiency. That’s why learning to identify, collect and analyze the key data can pay long-term dividends to the entire business. Here are the major analytics that deserve attention and the impact they can have on day-to-day operations.

Productivity

Productivity analytics capture how employees use their mobile devices to get work done. They help IT get ahead of potential problems, resulting is a steadier device fleet with fewer interruptions. Several analytics play a meaningful role here, including:

App usage behavior

App usage data shows which apps carry the workload and which ones slow people down with crashes, long loading times or heavy battery consumption. It can also uncover tools that are redundant or rarely used, which helps reduce clutter and unnecessary licensing costs.

Samsung Knox Asset Intelligence — a feature of Samsung Knox, a defense-grade security platform built into Samsung mobile solutions — gives meaning to app usage data by highlighting underperforming apps and showing how reliability changes after updates. That allows IT teams to refine the app environment accordingly. For example, if two apps serve the same purpose but one drains battery at a much higher rate, IT can standardize the more efficient option and retire the one that slows the workflow.

Device health and performance

A device’s condition often becomes apparent in data long before the user reports a problem. Battery life tells you whether a phone can last through a shift or is gradually wearing out.

Slowing boot times and frequent restarts are other signs analytics can pick up, along with overloaded storage and access times.

Performance metrics add context by showing when hardware is straining under work tasks or when background processes start to drag the device down. That gives IT time to step in and rectify issues before they affect business operations and customer satisfaction.

Connectivity stability

Mobile workflows depend on reliable and secure connections. Analytics show where signal strength drops, how often devices jump between networks and which environments consistently cause instability. For teams who work on the move, every interruption affects response times and customer interactions.

Connectivity data also reveals the source of a given problem. Several dropped sessions in one area might point to an access point that needs adjustment, while inconsistent roaming behavior may signal a device-level issue. When you can see these trends clearly, the fixes can be accelerated.

Security

In a digital world, how well a business secures its data can have a direct impact on brand image and reputation. Here, again, analytics can help ensure control, showing how well devices hold up against everyday risk and flagging weakness where threat actors could take advantage.

Install and app integrity signals

App activity offers early clues about risk on mobile devices. Analytics flag apps installed from untrusted sources and attempts to sideload content and grant permissions that don’t match an app’s intended function. Those actions often point to exposure pathways that quietly undermine device security.

Samsung Knox brings granular visibility to app integrity analytics by showing exactly when untrusted installs or risky permission requests occur. IT teams can apply focused policies to protect business data while still giving employees the flexibility to use their devices naturally.

Credential and access integrity

Authentication behavior offers another layer of insight into device security. Repeated login failures, disabled screen locks or unusual access attempts help IT distinguish common user mistakes from activity that warrants attention.

These analytics tend to matter most in bring your own device and hybrid setups, where personal and work lives intersect and overlap. Access integrity signals also support compliance by showing when users bypass required protections or when devices drift from the authentication standards set by the organization.

Threat exposure patterns

Mobile devices encounter risk through many everyday touchpoints, including public Wi-Fi, messaging apps, file sharing and web browsers. Threat analytics help pinpoint where exposure originates and how often devices interact with risky content. Zero-click threats hidden inside image files or attachments raise the stakes even further because they require no user interaction to trigger.

Samsung Message Guard strengthens security by placing every incoming image into a protected, isolated environment before the device processes it. Picture a field technician who receives job-site photos from unfamiliar numbers. Message Guard scans those files in the background and blocks malicious code before it can infect the device.

Device state and configuration

Security posture depends on how well devices adhere to required configurations. Analytics track if the OS is current, encryption is enabled, the screen lock meets policy and the device shows signs of rooting or modification. These signals provide a clear snapshot of whether each device is operating within acceptable security boundaries.

Configuration data helps IT address drift before it results in broader vulnerabilities. A device that falls behind on updates or disables a required protection can be brought back to good standing quickly, maintaining a consistent security baseline across the fleet.

Compliance

Compliance analytics keep businesses aligned with internal policies, industry standards and regulatory requirements. They’re especially valuable for organizations operating in healthcare, finance, logistics and the public sector. On this front, you’re looking at:

Policy adherence

Device configurations naturally change over time as users adjust settings, install new apps and work across various environments. Compliance analytics capture those changes by showing which devices fall out of alignment with policies and whether the issue stems from outdated OS versions, disabled screen locks, missing patches or unmanaged apps.

Clear visibility makes remediation far more efficient. IT can correct policy drift before it becomes an audit finding, and organizations maintain consistency without relying on manual checks or end-user reporting.

Permission and data access visibility

Mobile apps frequently request access to sensitive features such as location, photos, microphone, camera, contact lists and device storage. Permission analytics explain which apps are using which resources and whether those requests fit the organization’s security standards.

Greater visibility helps prevent accidental data exposure and gives IT a reliable way to enforce privacy expectations, especially in environments where personal and work activity coexist on the same device.

Location and usage compliance

Certain industries depend on location-anchored workflows. Transportation providers, home healthcare teams, logistics operators and field service organizations often require confirmation that tasks are completed in the proper place and timeframe. Location analytics help support those processes while maintaining transparency around how data is collected and why.

Privacy-concerned employees need not worry. The Knox approach emphasizes a separation of business and pleasure. Organizations can gain the verification they need for business tasks, while employees’ personal movements remain out of scope.

AI insights

AI is changing the game on all levels, and that includes compliance. It can increase visibility by detecting patterns that traditional diagnostics often miss. Furthermore, instead of reviewing data in every single device, AI can build a fleet-level understanding that guides smarter decisions.

For example, AI models can review long-term trends across battery drains, thermal spikes, crashes, throttling events and performance dips. When those trends resemble known pre- failure behavior, IT receives early notice and can act before devices disrupt workflows.

AI can also highlight behavioral outliers that may signal compliance risks, such as:

• A subset of devices suddenly showing faster battery drain
• An app consuming significantly more resources after an update  Login failures clustering at one site
• Devices connecting to unfamiliar networks
• A POS tablet operating differently from identical units in the same store

Instead of reacting to isolated incidents, teams see how issues map across the organization and can resolve them quickly and precisely.

How Samsung Knox unifies mobile device analytics for business

Samsung Knox brings everything into one operational view. Knox Asset Intelligence, Knox Manage, Knox Platform for Enterprise and Knox Guard each bring different layers of insight across performance, security, compliance and fleet-wide behavior. Centralized visibility gives IT a single place to monitor device health, track risk signals and learn how the fleet behaves across day-to-day operations.

Knox also gives businesses clear control over how analytics are generated and processed. Many AI-powered insights run directly on devices, and organizations can decide what stays local and what may be shared with approved cloud services.

A smarter way to manage your mobile fleet

When analytics are easy to access and interpret, managing a mobile fleet becomes far less reactive. IT has clearer paths to troubleshoot, teams spend less time waiting on fixes, and leaders can plan ahead with confidence.

Explore how Samsung Galaxy mobile devices and Samsung Knox can help streamline and strengthen device management across your organization.