Electronics & Semiconductors Dashboard in Google Sheets

The Electronics & Semiconductors Dashboard in Google Sheets is a six-page reporting workbook that turns a flat production-lot log into a fab-wide performance review. It ships with 16 KPI cards, 18 charts and 15 slicers, and the demo file carries 500 production lots spread across 8 fabs, 8 device categories, 7 process nodes, 12 customers and 6 package types. Every chart in it reads a native Google Sheets pivot table, not a wall of helper formulas.Electronics & Semiconductors Dashboard in Google Sheets

Most fab and electronics-assembly teams rebuild the same weekly deck by hand: wafer starts per plant, yield by node, revenue per customer, and a note about which lots are stuck in rework. That work is repetitive, it is easy to get wrong, and it is the reason a lot of teams end up quoting a BI seat they do not really need. This dashboard puts the whole cycle in one shared browser tab. Paste the lots, click a slicer, screenshot the panel.Electronics & Semiconductors Dashboard in Google Sheets

Key Features of the Electronics & Semiconductors Dashboard in Google Sheets

• Native pivot tables behind every chart. Each page has its pivots parked to the right of the visible layout, past a wide spacer column. Scroll right and you can inspect the exact numbers feeding any chart. Google documents this pattern in its own pivot table guide.
• 15 slicers across four analysis pages. Overview filters by Month, Fab and Device Category. Fabrication uses Fab, Process Node, Month and Status. Products uses Device Category, Customer, Package Type and Month. Yield uses Fab, Device Category, Process Node and Status. Slicers are a standard Sheets feature, so nothing here depends on an add-on.Electronics & Semiconductors Dashboard in Google Sheets
• 16 KPI cards. Total revenue, wafer starts, units shipped, average yield, dies per wafer, revenue per wafer, logic revenue, memory revenue, average ASP, revenue per unit, average defect density, rework lots and on-hold lots.Electronics & Semiconductors Dashboard in Google Sheets
• 18 charts. Including a cost variance bridge across eight cost drivers, a wafer-starts-versus-yield combo, a defect-density-versus-cost-per-die scatter, and stacked wafer starts by fab and node.Electronics & Semiconductors Dashboard in Google Sheets
• A right-hand context panel on every analysis page. Snapshot stats, a 12-month revenue trend, a Top 5 ranking table, share bars and an At a Glance list.Electronics & Semiconductors Dashboard in Google Sheets
• Auto-expansion to 1,000 rows. Pivots, slicers and formulas already cover up to row 1001, so pasted rows work immediately with no range editing.Electronics & Semiconductors Dashboard in Google Sheets
• A single editable palette. The design runs on ink #2A2A5E, accent #38BDF8 and amber #FBBF24 for second series. Change the palette at the top of the bundled Apps Script and re-run to restyle the whole workbook.

Dashboard Pages Explanation

Page 1: Overview – Fab-Wide Performance

The landing page carries Total Revenue, Wafer Starts, Units Shipped and Average Yield as its four KPI cards, with Month, Fab and Device Category slicers above them. The charts are Monthly Wafer Starts vs Average Yield, Cost Variance Bridge by Driver and Defect Density vs Cost per Die. The side panel adds a fab snapshot, Top 5 Device Categories by Revenue, a lot status mix and an At a Glance revenue list.

The cost bridge is the page’s most useful visual. It walks from assembly and packaging through logistics, mask and reticle, rework and scrap, test time, volume rebate, wafer cost and yield loss to a subtotal, so a margin conversation starts from drivers rather than from a single variance number.

Page 2: Fabrication – Capacity by Plant and Node

This page reports Wafer Starts, the leading fab’s volume, Dies per Wafer and Revenue per Wafer, sliced by Fab, Process Node, Month and Status. Charts are Wafer Starts by Fab, Wafer Starts by Process Node, Units Shipped by Fab, Monthly Wafer Starts, Revenue by Fab, and Wafer Starts by Fab and Node.

The side panel ranks the Top 5 Fabs by Revenue and shows process node share, which makes it quick to see whether one plant is absorbing a disproportionate share of leading-node work.

Page 3: Products – Device Portfolio

The commercial page reports Logic Revenue, Memory Revenue, Average ASP and Revenue per Unit, filtered by Device Category, Customer, Package Type and Month. Charts are Revenue by Device Category, Units Shipped vs Average ASP, Revenue by Customer and Revenue by Package Type.

Package revenue share is broken out across BGA, LGA, QFN, SOIC, TSSOP and WLCSP, and the Top 5 Customers table sits directly beside it, so mix questions and account questions get answered on the same screen.

Page 4: Yield – Defects, Lot Status and Process Control

The quality page reports Average Yield, Average Defect Density, Rework Lots and On Hold Lots, sliced by Fab, Device Category, Process Node and Status. Charts are Average Yield by Fab, Defect Density by Process Node, Lots by Status, Monthly Average Yield and Monthly Defect Density.

Defect Density by Process Node is sorted descending, so the relationship between tighter nodes and higher defect density reads at a glance in whatever data you load. The panel also lists yield by leading node and the best and lowest lot yields in the current file.

Page 5: Search – Lot Lookup

Choose any Lot ID from the dropdown and the Lot Details table fills in the complete record: date, fab, device category, process node, customer, package type, revenue, wafer starts, units shipped, yield %, defect density, cost per die, ASP, status and month.

Page 6: Instructions – User Guide

A 10-step guide explains the pivot-and-slicer architecture, how to clear a filter, what each analysis page covers, how to swap in your own lots, how the 1,000-row auto-expansion works, and how to raise the row ceiling or change the theme from the bundled Apps Script.

Electronics & Semiconductors Dashboard in Google Sheets vs. Microsoft Excel vs. Paid BI SaaS – Feature Comparison

For a fab or fabless team that wants wafer, yield and margin reporting in a shared browser tab without paying per seat, the Electronics & Semiconductors Dashboard in Google Sheets sits in the sweet spot.

Who Should Use This Template

Perfect for:

• Production and planning managers at semiconductor, PCB and electronics assembly plants
• Fabless and OSAT account teams tracking revenue, ASP and package mix by customer
• Operations analysts rebuilding the same fab report by hand every month
• Small multi-site manufacturers who want shared reporting without BI licences
• Consultants, lecturers and students who need a working manufacturing analytics model

Not a fit if:

• You need a live MES, SPC or APC system – this reads a log you paste or import, it does not talk to equipment
• You expect control limits, wafer maps, die-level bin analysis or SEMI E10 equipment states
• You need yield and defect density to be measured rather than entered – both are values you supply
• You require SSO, audit logging or row-level security on the reporting layer
• You are looking for export-control or trade-compliance functionality – this template makes no compliance claims

Real-World Use Cases

Meera plans production at a mid-size analog fab. Each Monday she pastes the previous week’s lot log into the Data sheet, then uses the Fabrication page to compare wafer starts and revenue per wafer across her eight plants. The Top 5 Fabs panel goes straight into the ops review deck as a screenshot.

Daniel manages key accounts at a fabless design house. He filters the Products page by Customer and Package Type to find where average selling price is slipping, and uses Revenue by Package Type to build the case for moving a slow line from SOIC to QFN.

Priya supports a yield engineering group. She keeps the Yield page filtered to leading nodes, watches Defect Density by Process Node week over week, and uses the Search page to pull the full record for any lot that lands on hold – without needing a paid BI seat.

Advantages of the Electronics & Semiconductors Dashboard in Google Sheets

The cost case is the obvious one. A five-person team on a paid BI platform is looking at roughly $4,200 to $11,400 in the first year. This is a single $9.99 purchase with no seats attached, and everyone who has the Drive link can open it.

The time case matters more day to day. Because the pivots, slicers and formulas are pre-sized to 1,000 rows, the monthly refresh is a paste rather than a rebuild – typically under ten minutes end to end. And because the architecture is pivot-based rather than formula-based, the file does not slow to a crawl as the lot history grows.

Finally, it is genuinely editable. The Data sheet is a plain table, the theme is one palette in a script, and the row ceiling is a single constant. Nothing is locked.

Opportunities for Improvement

Three things are worth knowing before you buy.

First, the four KPI cards on each page do not respond to the slicers. They use SUMIFS and COUNTIFS against the Data sheet, so they always show unfiltered totals, as does the At a Glance list. The charts, pivots and Top 5 panel are the slicer-aware parts. This is stated on the Instructions page and it is intentional – but if you expect the big cards to move when you click a fab, they will not.

Second, slicers are page-scoped. Filtering the Overview page by one fab does not carry that filter to the Yield page. For cross-page analysis you set the filter twice.

Third, the 1,000-row ceiling is real out of the box. Going beyond it means opening the bundled Apps Script, raising DATA_ROWS and re-running main(). That is a two-minute job, but it is a job. And the 500 sample lots, the eight fab names and the twelve customer names are fictional demo data – replace them before drawing any conclusion from the numbers on screen.

Best Practices

• Keep the Data sheet column headers exactly as shipped – the pivots, slicers and charts all reference them by name.
• Paste values rather than formulas when importing from another system, so nothing carries stale references.
• Standardise your fab, device category, process node and package labels before pasting. Inconsistent spelling splits a slicer entry in two.
• Raise DATA_ROWS once, at the start, to whatever you expect over a year, instead of re-running the script every month.
• Duplicate the file at the end of each year for a clean archive, then clear the Data sheet on the working copy.
• Because the KPI cards are unfiltered by design, take your filtered numbers from the charts and pivots, not from the cards.

Explore Relevant Templates

The same topic is available on two other platforms: the Electronics & Semiconductors Dashboard in Power BI and the Electronics & Semiconductors Dashboard in Excel. If you want a compact month-picker scorecard rather than this analytical build, the Electronics & Semiconductors KPI Dashboard in Excel is a separate template, not a duplicate of this one.

Manufacturing teams generally pair this with the Contract Manufacturing Dashboard in Google Sheets, the Warehouse Efficiency Dashboard in Google Sheets and the Heavy Machinery Dashboard in Google Sheets. For discrete-goods plants there is also the Textiles & Apparel Manufacturing Dashboard in Google Sheets. On this blog you may also find the Engineering Dashboard in Google Sheets and the Daily Production Output Tracker in Google Sheets useful.

Frequently Asked Questions

What KPIs does the Electronics & Semiconductors Dashboard in Google Sheets track?

The Electronics & Semiconductors Dashboard in Google Sheets tracks 16 KPI cards across four pages, including total revenue, wafer starts, units shipped, average yield, dies per wafer, revenue per wafer, logic and memory revenue, average ASP, average defect density, rework lots and on-hold lots.

How long does setup take?

Under 10 minutes. Open the bundled PDF, click the Google Sheets copy link, then paste your own production lots over the sample rows. Because the Electronics & Semiconductors Dashboard in Google Sheets is pre-sized to 1,000 rows, every pivot, slicer and chart updates with no range editing.

Do the KPI cards respond to the slicers?

No. In the Electronics & Semiconductors Dashboard in Google Sheets the KPI cards and the At a Glance list use SUMIFS and COUNTIFS on the Data sheet, so they show unfiltered totals by design. The charts, pivot tables and Top 5 panels are the slicer-aware components.

Is this an MES or SPC system?

No. The Electronics & Semiconductors Dashboard in Google Sheets is a reporting layer over a production log you maintain yourself. It does not connect to fab equipment, calculate control limits, generate wafer maps, or make any compliance, safety or export-control claim.

How does this compare to Tableau or Domo?

Paid BI platforms cost roughly $70-$190 per user per month plus connector work. The Electronics & Semiconductors Dashboard in Google Sheets is a $9.99 one-time purchase that runs in a browser tab your team already has, with access handled by ordinary Google Drive sharing.

Can I load more than 1,000 production lots?

Yes. The Electronics & Semiconductors Dashboard in Google Sheets ships sized for 1,000 rows. To go further, open the bundled Apps Script file, raise the DATA_ROWS constant and re-run main() so the pivots, slicers and formulas re-cover the larger range.

Is the sample data real?

No. The 500 lots, eight fab names and twelve customer names shown in the Electronics & Semiconductors Dashboard in Google Sheets are fictional demo data created to show the layout working. Replace them with your own records before drawing any operational conclusion.

About the Author

Built by PK – Microsoft Certified Professional with 15+ years of Excel, Google Sheets and Power BI experience. Founder of NextGenTemplates, reaching 300K+ subscribers across YouTube channels. Every template is hand-built and tested before release.

Conclusion

If your weekly fab review currently lives in a hand-built spreadsheet, the Electronics & Semiconductors Dashboard in Google Sheets replaces the rebuild with a paste. Six pages, 16 KPI cards, 18 charts, 15 slicers and a lot-lookup screen, all running on native pivot tables that stay fast as the log grows – and honest about the parts that are unfiltered by design.

👉 Click here to Purchase the Electronics & Semiconductors Dashboard in Google Sheets

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For step-by-step video walkthroughs, visit Youtube.com/@NeoTechNavigators.

Last updated: August 2026