Learn how to explore and analyze the demo data in your WATS trial. This quick guide introduces some key features that turn test data into insights.
Welcome to WATS!
This article introduces new trial users to key features of WATS using the built-in demo data provided for evaluation. It provides suggestions for how to analyze the data using key features such as Process Heatmap, WATS Alvea, Dynamic Yield, and Unit Flow.
Access and Troubleshooting
Login credentials (username and password) are provided via email.
If you experience issues logging in, or the demo data does not appear, please contact our support team at support@wats.com
If you have uploaded your own data and struggling to find it, see the troubleshooting guide
About the demo data
The demo data is based on real production data from an electronics manufacturing environment.
- Two weeks of data are available immediately upon activation of your trial.
- The next four weeks of data are added in real-time.
- After this period, no additional data will be uploaded.
What is covered in this article
- Navigate and create a Process Heatmap to visualize product and process performance
- Use WATS Alvea to automatically identify deviations and improvement opportunities
- Drill down to Dynamic Yield reports for customized yield insights
- Introducing other powerful drill down options, such as Test Step Analysis
- Explore Unit Flow to visualize how units move through the production line and detect process deviations
Process Heatmap
| Process Heatmap is an all-in-one matrix view showing key KPIs for each product/process combination. It helps you quickly identify areas that may need attention and is the best place to start most analyses. |
To create a Process Heatmap:
- Navigate from Start page > Analytics > Manufacturing Insights
> Process heatmap
- Click the plus icon to create a new heatmap.
- Filter by Product groups: Power Module - Demo. (top right corner
)
- Extend the time range to include more data if needed. The demo data should include four Part numbers going through various processes
- Click Save filter changes to store your view
|
Columns show Processes, Rows show Products. Each Cell in the Heatmap displays metrics such as: Units tested, retests, yield and yield trends, stations used, repairs, process steps causing the most failures |
See more:
AI-powered insights with WATS Alvea
| WATS Alvea utilize AI to effortlessly help the user with root cause analysis, by recognizing patterns and uncovering insights in the data. |
To view Alvea suggestions:
- Open the Process Heatmap
- Click Alvea suggestions
in the top-right corner
- Review deviations by part number and process
- Each suggestion includes:
- Part number and process affected
- Current first pass yield (FPY%)
- Deviation source (e.g., failing station)
- Potential FPY% improvement
WATS Alvea can find patterns and deviations based on any header information in the UUT report. Therefore, it is recommended to log any information you suspect could introduce test failures. With the misc. info field, you can log custom test data information beyond the default options provided in WATS. For example, hardware configurations or firmware versions.
Dynamic yield
Clicking an Alvea suggestion automatically opens a Dynamic Yield report, filtered for the relevant part number, process and yield report columns (e.g., station).
| Dynamic Yield report lets you create a customized view, aggregating your test-results based on any information available in the report headers. The Dynamic Yield report can be found in Reporting, under Yield. |
The following screenshot shows the dynamic yield report that was created when clicking on the WATS Alvea suggestion previously presented:
Note: The station that was highlighted in the Alvea Suggestion is clearly marked in the yield report, with an FPY% well below the other stations.
WATS Alvea is a quick way to identify potential first pass yield improvements and highlights areas that warrant further investigation.
Further investigation
Returning to the Process Heatmap, we can locate the part number/process that should be prioritized by clicking the on the WATS Alvea suggestion.
With the cell located, there are many options for further investigation.
By clicking the burger menu on the right side of the cell, you get an overview of all drill down options, along with all related WATS Alvea suggestions (deviations, root cause tickets, etc.).
A typical next step is to drill down to Test Step Analysis.
Test Step Analysis and Step Details
| Test step analysis (TSA) provides tools to analyze specific test steps of one or more sequences. It enables a visual representation of the actual measurements, as well as analysis for top failing, most time-consuming steps, cpk metrics and more. |
Another common method is to investigate the 10 most failing steps in detail, by clicking on Issues and a step from the list. It is recommended to start with numeric measurements , as these allow for more insightful analysis. For example, seeing how the measurements for a step trend over time.
This can, for example, enable us to see individual measurements grouped by header information as suggested by WATS Alvea. This is a powerful tool that helps with root cause analysis.
To see how, and learn more about Test Step Analysis and Step Details see:
Unit Flow
| Unit flow provides comprehensive visibility into the flow of units across the production line. The flow is mapped based on test and repair reports, generating a main process flow while highlighting units that deviate from the standard path. This includes units that bypass certain steps, follow an unusual order, or skip processes altogether. |
From the Heatmap, click on the Unit Flow button for a part number that goes through two or more processes.
Observe the main process flow for this part number and any units deviating from that path (skipped, retests, out for repair etc.).
To test Unit Flow, try:
- Click the burger menu
for a process, and then Split by stations to see the flow of units in and out of the stations used in the process
- Click the number
for a deviating path, click Units in process, click a serial number from the list on the right to see the full path of that unit.
- Change View from Historical to Time.
This allows you to see the min, max, average and median time spent in each step of the Unit Flow.
See more:
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