Blog · Alternatives and comparisons
Dashboard software ranges from full BI platforms to dashboard-first KPI tools and spreadsheet dashboards. This guide explains where each keeps its KPI definitions, works through a weighted scoring example, and gives a five-KPI accuracy test every shortlisted tool must pass.
Dashboard software displays key performance indicators from your data on one screen that refreshes on its own. The choice is between full BI platforms, dashboard-first tools built for KPI tiles, and spreadsheet dashboards. The difference that matters most is where each KPI's definition lives, and the test that settles the choice is simple: give each tool inputs you already know and check it reproduces five KPIs you have already calculated.
Product names are trademarks of their owners and are used here only to identify the products. Covirage is not affiliated with any vendor named. Facts about each product come from the vendor's own documentation, checked on October 1, 2026.
It connects to the systems that hold the numbers, computes a short list of measures, shows them as tiles and charts on one screen, and refreshes them on a schedule. Most tools add alerts when a measure crosses a threshold, and a way to share the screen with people who did not build it.
The three kinds. BI platforms: dashboards sit on top of a modeled dataset with defined measures. Dashboard-first tools: connectors and KPI tiles, built for a screen the whole team watches. Spreadsheet dashboards: PivotTables, charts and slicers on one sheet of a workbook.
BI platforms. In Power BI, Microsoft describes a dashboard as "a single page, often called a canvas, that uses visualizations to tell a story"; its tiles are pinned from reports built on a semantic model, and dashboards support data alerts. Tableau's help explains that after creating sheets "you can combine them in a dashboard, add interactivity, and much more."
Dashboard-first tools. Geckoboard calls itself "KPI dashboard software for teams that need live numbers in plain sight", shown on TVs, Slack, Microsoft Teams, email and mobile. Klipfolio describes its Klips product as a dashboard solution that connects "to hundreds of services and APIs directly" with "the power and familiarity of spreadsheets." Databox is a third example of the type.
Spreadsheet dashboards. One workbook, one owner, refreshed at month-end.
The wider BI market is mapped in business intelligence tools, a question-based trial is in data analysis software, and chart-level testing is in BI tools for data visualization. This page is about KPIs.
This is the biggest difference between tools, and it decides whether two tiles can disagree.
When two tiles disagree in a meeting, the meeting becomes about the tiles. Ask every vendor: where is the definition of gross margin held, who can change it, and is the change recorded? Versioned metric definitions explains why that history matters.
Illustrative scores for one company, from 1 to 5, by kind of tool rather than by named product. Weights are agreed before the demos.
| Criterion | Weight | Tool A (BI platform) | Tool B (dashboard-first) | Tool C (spreadsheet) |
|---|---|---|---|---|
| Data connections | 20% | 5 | 4 | 2 |
| Metric definitions held centrally | 25% | 5 | 3 | 2 |
| Refresh and alerts | 15% | 4 | 5 | 2 |
| Sharing and permissions | 15% | 4 | 4 | 3 |
| Mobile | 10% | 3 | 5 | 2 |
| Cost of ownership | 15% | 3 | 4 | 5 |
| Weighted score | 100% | 4.20 | 4.00 | 2.60 |
Weighted score = Σ (weight × score), with weights summing to 100%
Tool A is 0.20 × 5 + 0.25 × 5 + 0.15 × 4 + 0.15 × 4 + 0.10 × 3 + 0.15 × 3 = 1.00 + 1.25 + 0.60 + 0.60 + 0.30 + 0.45 = 4.20. Tool B is 0.80 + 0.75 + 0.75 + 0.60 + 0.50 + 0.60 = 4.00, and Tool C is 0.40 + 0.50 + 0.30 + 0.45 + 0.20 + 0.75 = 2.60. A team that weights mobile and alerts above central definitions could reasonably reverse A and B; the weights are the decision.
Take one closed month, here September, and the inputs behind five KPIs you already report. Load the inputs into each tool and build a tile for each KPI.
| KPI | Inputs | Expected value |
|---|---|---|
| Revenue (USD) | invoices dated in September | 1,240,000 |
| Gross margin % | (1,240,000 − COGS 781,200) / 1,240,000 | 37.0% |
| DSO, 90-day | receivables 1,020,000 / revenue last 90 days 3,600,000 × 90 | 25.5 days |
| Win rate | 22 won / 64 closed (22 won + 42 lost) | 34.4% |
| Active customer rate | 312 ordered in 90 days / 400 accounts | 78.0% |
Gross margin % = (revenue − COGS) / revenue
DSO = receivables / revenue for the last N days × N
Win rate = won / (won + lost)
In Excel, with revenue in B2, COGS in B3, receivables in B4, 90-day revenue in B5, won in B6, lost in B7, active customers in B8 and accounts in B9:
=(B2-B3)/B2
=B4/B5*90
=B6/(B6+B7)
=B8/B9
Recompute each KPI from its inputs and compare with the tile:
Any tile that differs has a definition or aggregation problem. Common causes: win rate divided by all opportunities including open ones, DSO built on a calendar quarter instead of the last 90 days, revenue that includes or drops credit notes, and an active customer count that counts orders instead of distinct customers. Fix the definition once, in the place the tool holds it, and run the test again.
A dashboard is good at showing that something moved. It is poor at getting someone to act on it. A ranked list with an owner on each row, such as the twenty overdue accounts by value, gets worked; a tile showing DSO up three days gets glanced at. Why the list gets worked and the dashboard gets glanced at makes the case, and sales dashboard examples shows what a useful screen looks like when a dashboard is the right output.
Covirage holds one definition per measure and computes it from your uploaded files, so a KPI shown on a screen, in an export and in an answer from the external AI model is the same figure; our tools do the arithmetic and the external AI model explains it. Compare dashboard and analytics tools side by side, with sources on every claim. To start in a workbook, see the KPI dashboard template and how to build a dashboard in Excel; for what AI adds, AI dashboard. Covirage is not affiliated with any vendor named on this page.
Software that pulls data from your systems and shows key measures on one screen, refreshed automatically, with charts, KPI tiles and filters. It ranges from full BI platforms to simple tools built only for KPI dashboards.
Often the simplest that connects to your existing systems: a dashboard-first tool or Google's Data Studio for a few KPIs, or Excel if the data is already there. Full BI platforms pay off when several people build reports on shared, governed data.
Yes, with PivotTables, charts and slicers on one sheet. It works for a single owner and monthly refresh. It struggles with many viewers, row-level permissions and several live data sources.
Five to ten measures tied to decisions, each with a definition, a comparison (target, prior period) and an owner. Put the most important measures top left and add a drill path to the rows behind each figure.