What a dashboard is and why you might build one
A dashboard is a single screen that displays information you check regularly — sales numbers, website traffic, project deadlines, weather, or anything else you monitor. Instead of opening five different programs or websites, you see the data you care about in one place.
You might build a dashboard to track your small business sales, monitor your home's energy use, keep tabs on a project timeline, or watch metrics that matter to your work. The dashboard pulls data from wherever it lives — a spreadsheet, a website, a database, an app — and shows it in a format you can read at a glance.
Most dashboards fall into two categories: those you build yourself using tools designed for it, and those you create by connecting existing apps and services. Both approaches are within reach if you follow the steps in order.
Key Takeaways
- A dashboard combines data from multiple sources into one screen so you do not have to open separate programs to find what you need.
- The easiest starting point is a spreadsheet dashboard using formulas and charts, which works if your data lives in a spreadsheet or you can copy it there.
- For real-time data from websites or apps, you will need a dedicated dashboard tool like Google Data Studio, Tableau, or Metabase, which connect directly to your data sources.
- Before you start building, write down what information you actually check and how often, because a dashboard that shows everything is harder to read than one that shows only what matters.
- Most dashboard tools offer templates you can customize rather than starting from blank, which saves time and gives you a working example to learn from.
Decide what data belongs on your dashboard
The first step is not to build anything — it is to list what you actually need to see. Open a document and write down the numbers, dates, or status updates you check at least once a week. If you are not checking something that often, it does not belong on your dashboard.
For each item, write down where the data lives right now. Is it in a Google Sheet? A website you visit? An app on your phone? A database at work? A spreadsheet file on your computer? The answer determines which tool you will use to build the dashboard.
Be specific about what you want to see. "Sales" is too vague. "Total sales this month compared to last month" and "Top three products by revenue" are specific enough that you can build a chart for each one. The more precise you are now, the faster you will build later.
Build a spreadsheet dashboard if your data is in sheets
If all or most of your data lives in Google Sheets, Excel, or a similar spreadsheet program, you can build a working dashboard without learning new software. This approach works best when you have fewer than a few thousand rows of data and you do not need the dashboard to update in real time.
Step 1: Organize your source data. Open the spreadsheet that holds your raw data. Make sure each column has a clear header — "Date", "Product", "Revenue", "Region" — and each row is one record. If your data is messy or scattered across multiple sheets, spend time cleaning it first. A dashboard built on bad data will mislead you.
Step 2: Create a new sheet for your dashboard. In the same spreadsheet file, add a new sheet and name it "Dashboard". This keeps your raw data separate from the display.
Step 3: Add titles and labels. In the dashboard sheet, type the titles and labels you want to see. "Total Revenue This Month", "Orders by Region", "Top Five Customers" — whatever tells you what each section shows. Leave space below each title for a number or chart.
Step 4: Write formulas to pull the numbers you need. In Google Sheets, use formulas like SUM() to add up a column, AVERAGE() to find the middle value, or COUNTIF() to count rows that match a condition. In Excel, the formulas are the same. If you are not familiar with formulas, Google Sheets has a built-in formula helper — click the function button (ƒx) and search for what you want to do.
Step 5: Add charts. Highlight the data you want to visualize, then insert a chart. Google Sheets and Excel both offer bar charts, line charts, pie charts, and more. Choose the type that makes your data easiest to understand. A line chart shows trends over time. A bar chart compares amounts. A pie chart shows parts of a whole.
Step 6: Format for readability. Make titles larger and bold. Use colors to highlight important numbers. Add borders to separate sections. The goal is to let someone read the dashboard in ten seconds without confusion.
Use a dedicated dashboard tool for real-time data
If your data lives in multiple places — a website, a database, a customer app, a payment processor — you need a tool that can connect to those sources and pull data automatically. Spreadsheet formulas cannot do this, but dashboard tools can.
Google Data Studio is free and works well if your data is in Google Sheets, Google Analytics, or other Google services. It also connects to many third-party apps. You sign in with your Google account, click "Create" and choose "Data Studio", then select your data source. Data Studio walks you through building a report, which is its name for a dashboard. You can add charts, tables, scorecards (single large numbers), and filters that let viewers change what they see.
Tableau Public is free for dashboards you do not mind sharing publicly. It is more powerful than Data Studio and handles larger datasets, but it has a steeper learning curve. You download Tableau Public, connect it to your data source, and drag fields onto the canvas to build visualizations. Tableau is common in business and has extensive tutorials.
Metabase is free and open-source, meaning you can run it on your own computer or server. It works well if you have a database (like MySQL or PostgreSQL) and want to build dashboards without paying for software. Setup takes more technical knowledge than Data Studio, but once it is running, building dashboards is straightforward.
Looker Studio (formerly Google Data Studio) is Google's newer dashboard tool and is free. It is similar to Data Studio but with more features. If you are already using Google services, Looker Studio is worth trying first.
To get your free guide with any of these: sign up for a free account, connect your data source, choose a template that matches what you want to build, and customize it. Most templates are designed to be modified, so you can change titles, colors, and which data appears without starting from scratch.
Connect your data sources to the dashboard
The connection between your dashboard tool and your data is what keeps the dashboard current. When you connect a data source, you are giving the dashboard permission to read data from that source on a schedule — usually every few hours or once a day, depending on the tool.
In Google Data Studio, click "Create a new data source", choose your source type (Google Sheets, Google Analytics, a database, etc.), and follow the prompts. You will be asked to sign in to the service and choose which data to include. Once connected, the data source appears in your dashboard tool and you can use it in charts and tables.
In Tableau, you connect a data source when you create a new workbook. Click "Connect to Data", choose your source type, and provide login details if needed. Tableau then shows you the tables and fields available, and you select which ones to use.
If your data lives in a file on your computer rather than online, you can upload it to Google Drive or another cloud service, then connect the dashboard tool to the cloud version. This way the dashboard can update automatically. If you keep the file only on your computer, the dashboard cannot refresh without you manually uploading a new version.
Arrange and format your dashboard for clarity
Once your data is connected and your charts are built, arrange them so the most important information is visible without scrolling. Put the metric you check first in the top left. Group related charts together. Use white space so the dashboard does not feel crowded.
Most dashboard tools let you resize and move elements by dragging them. Arrange them until the layout feels natural. If someone opens your dashboard for the first time, they should immediately see what matters most.
Add filters if your dashboard shows data for multiple regions, products, or time periods. A filter lets viewers select what they want to see — for example, "Show me only sales from the West region" or "Show me only this month's data". Filters make one dashboard useful for many people instead of requiring separate dashboards for each view.
Test the dashboard by viewing it on different devices. If you will check it on your phone, make sure it is readable at that size. If others will use it, ask them to look at it and tell you what is confusing. Adjust based on their feedback.
Update your dashboard as your needs change
A dashboard is not a one-time project. As your business or project changes, your dashboard should change too. Every few weeks, ask yourself whether you are actually looking at each chart. If you are not, remove it. If you find yourself checking something that is not on the dashboard, add it.
If you built a spreadsheet dashboard, you will need to refresh the data manually by updating the source sheet. If you built a dashboard with a tool like Data Studio or Tableau, the data refreshes automatically on a schedule, but you may need to adjust formulas or add new charts as your questions change.
Keep the dashboard simple. A dashboard with twenty charts is harder to read than one with five. If you find yourself adding too much, consider building a second dashboard for different questions or audiences. A sales dashboard and an operations dashboard can both exist in the same tool.
Frequently Asked Questions
Can I build a dashboard without knowing how to code?
Yes. Spreadsheet dashboards require only basic formulas like SUM and AVERAGE, which you can learn in an hour. Dashboard tools like Google Data Studio are designed for non-technical users and use drag-and-drop interfaces. You do not need to code to build a working dashboard.
How often does my dashboard data update?
It depends on the tool. Spreadsheet dashboards update only when you manually refresh them or change the source data. Tools like Google Data Studio and Tableau refresh automatically on a schedule — usually every few hours or once a day. If you need real-time updates, check the tool's documentation for refresh frequency.
Can I share my dashboard with other people?
Yes. Most dashboard tools let you share a link and control who can view it. In Google Data Studio, you click "Share" and choose whether viewers can see the dashboard, edit it, or both. In Tableau Public, dashboards are shared publicly by default. In Metabase, you control access by user account. Check your tool's sharing settings.
What if my data is in different places — some in a spreadsheet, some in a website?
Use a dedicated dashboard tool like Google Data Studio or Tableau, which can connect to multiple sources at once. You can pull data from a Google Sheet, a website, and a database in the same dashboard. Spreadsheet dashboards cannot do this, so you would need to manually copy data from other sources into the spreadsheet first.
How do I know if my dashboard is working?
Check that the numbers match what you see in the original data source. Open your source data and spot-check a few numbers against what appears on the dashboard. If they match, the connection is working. If they do not, check that your formulas or data source connection are correct.