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WATS: Test Data Platform for Electronics Manufacturing

WATS helps test engineers and manufacturing managers track production yield and analyze test failures. It is designed for teams moving from manual spreadsheets toward automated data collection.

At a glance

Best for
Electronics manufacturers, Test engineers, Quality control teams, Manufacturing operations managers
Pricing
Pricing starts with a Basic plan at €0/month. Paid tiers include Analytics at €297/month and Enterprise at €578/month, with costs scaling based on the volume of data processed.
Key use cases
Production Yield Monitoring, Root Cause Identification, Automating Data Workflows, Supplier Production Monitoring
Integrations
NI TestStand, LabVIEW, Microsoft.NET, Python, SAP
Official website
wats.com
Screenshot of wats website

WATS is a data platform for electronics manufacturing that collects, visualizes, and analyzes test and repair data. It is designed to help teams identify frequent product failures or performance problems using data captured in real time.

The software is intended for test engineers, quality control teams, and manufacturing managers in sectors such as automotive, medical devices, and consumer electronics. It supports the transition from manual data scripts and spreadsheets to a centralized system with global dashboards.

Capabilities include a repair interface and an AI-assisted root cause analysis tool to help pinpoint the source of defects. The platform also supports unit flow traceability to track how units move through the testing process.

Buyers should consider their monthly data volume, as subscription costs are tied to the amount of converted XML data processed. Buyers should confirm if their specific test equipment is among the supported integrations.

Key Features

AI-Assisted Root Cause Analysis

Built-in AI assistant, WATS Alvea, designed to help identify the root causes of test failures.

Test Data Analytics

Tools to analyze yield across multiple dimensions and perform test step analysis down to individual measurements.

Global Dashboards

Customizable dashboards that provide a map view and KPI metrics for factories and subcontractors.

Repair Interface

A digital interface to document repairs and capture structured repair reports, image attachments, and comments.

Traceability and Unit Flow

Visualizes how units move through test and repair processes and tracks the history of units and sub-units.

Data Conversion Technology

Includes a client that can read various file formats and databases to standardize them for analysis.

Use Cases

Production Yield Monitoring

Identifying production yield issues and frequent test failures across different production lines.

Root Cause Identification

Using AI-assisted tools and process heatmaps to help find the cause of performance problems.

Automating Data Workflows

Replacing manual spreadsheets and scripts with automated test data collection.

Supplier Production Monitoring

Monitoring failure rates and scrap rates from external suppliers to request corrective actions.

Best For

Electronics manufacturersTest engineersQuality control teamsManufacturing operations managers

Integrations

NI TestStandLabVIEWMicrosoft.NETPythonSAPIFSJiraZapierPower BITableauQlikGoogle Big Query

Pricing

Pricing starts with a Basic plan at €0/month. Paid tiers include Analytics at €297/month and Enterprise at €578/month, with costs scaling based on the volume of data processed.

FAQ

How does WATS pricing work?

WATS uses a tiered subscription model (Basic, Analytics, Enterprise) combined with data-processing quotas based on the volume of converted XML test reports uploaded per month.

What is WATS Alvea?

WATS Alvea is a built-in AI assistant designed to help test engineers identify the root causes of production failures.

Can WATS be installed on local servers?

Yes, WATS offers an on-premise deployment option for companies that prefer to run the software on their own internal servers or private clouds.

Is there a free trial available?

Yes, WATS provides a free trial that includes a pre-populated account with demo data to help users evaluate the platform.

Source category: Data & Analytics

Source subcategory: Analytics & Reporting

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