✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Mobile device management platforms, app store publishers, and telecom carriers track device inventories, app listings, and subscriber data across systems that rarely share identifiers. The same device might appear under its IMEI, serial number, and asset tag in three different databases. App store data feeds list the same application under different bundle IDs for iOS and Android versions. Enterprise MDM systems accumulate ghost device records when employees upgrade without properly decommissioning old devices. dataclean.to matches mobile records by device identifiers, app metadata, and user details to eliminate redundancy.
The Problem
Duplicate records in mobile data cause inventory inaccuracies, licensing waste, and security gaps. An enterprise MDM showing 1,200 managed devices when only 900 are active leads to purchasing excess software licenses and overestimating the security perimeter. App publishers with duplicate listings in their analytics see inflated install counts that collapse during advertiser verification. Telecom carriers with duplicate subscriber records send multiple bills to the same account or fail to consolidate usage across a customer's devices. When a device appears twice in an MDM, security policies may apply to one record but not the other, leaving the actual device partially unmanaged. W3C Data on the Web Best Practices
How to Fix It
1
Export device and app records
Pull data from your MDM platform, app store analytics, or telecom subscriber system into CSV format. Include device name, serial number, IMEI, OS version, user assignment, app name, bundle ID, and platform (iOS/Android).
2
Upload to dataclean.to
Upload the CSV. The tool compares device identifiers, user assignments, and app metadata to find records that represent the same device, user, or application across multiple entries.
3
Review duplicate device and app clusters
Examine flagged groups. Typical duplicates include decommissioned devices still active in the MDM alongside their replacements, the same app listed under iOS and Android bundle IDs, and users with devices registered under both personal and corporate accounts.
4
Consolidate into accurate records
Merge confirmed duplicates. For devices, retain the active record with current OS version and decommission the ghost entry. For apps, link platform variants to a single canonical product entry. For users, unify accounts under one profile.
5
Export the clean mobile database
Download the deduplicated data for import into your MDM, analytics, or subscriber management system. Accurate device counts ensure correct licensing, real app metrics, and complete security policy coverage.
Frequently Asked Questions
How does the tool handle devices that were replaced but not decommissioned?
When a new device is assigned to the same user as an existing device, both records are flagged. You can confirm the old device should be decommissioned and keep only the active record, or mark both as intentional if the user legitimately carries two devices.
Can it match the same app across iOS and Android?
The tool compares app names and publisher information across platforms. An app listed as 'com.company.app' on Android and 'com.company.AppName' on iOS is flagged when the app name and publisher match, allowing you to link both versions to a single product entry.
What about BYOD devices that appear in both personal and corporate MDM?
BYOD devices enrolled in both a personal iCloud account and a corporate MDM create duplicate records. The tool identifies the overlap by matching on serial number or IMEI and flags them for review so you can decide how to reconcile the dual enrollment.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.