Excel, Power BI or Looker Studio: which dashboard tool should you choose?
A useful dashboard starts with a decision, not a chart. If you manage sales, costs or productivity, this guide will help you choose a tool without getting lost in technical details.
Key points
- Excel is effective for focused models and teams already comfortable with spreadsheets.
- Power BI supports connected data models and more structured sharing.
- Looker Studio is useful for web and marketing reports with compatible data sources.
Section 1
Start with the decision you need to make
Before buying or building anything, answer four questions: What decision should the report support? Where does the data live? Who needs to use it? How often must it be refreshed?
A monthly sales summary for one shop is different from a report that combines sales, stock and costs across several locations. You should also know who will maintain the data and resolve issues.
Sources
One file, or several systems that need to be connected?
People
One analyst, or many managers using the report?
Refresh
Monthly, daily or more frequently?
Ownership
Who is responsible for definitions, access and data quality?
Section 2
What each tool does well
Excel is familiar and flexible. Tables, Power Query and PivotTables can support valuable reporting, although version control and distribution become harder as more people need access.
Power BI supports relational models, calculations with DAX and more structured distribution. Sharing requirements can involve licences or capacity, so the total cost depends on how reports are published and refreshed.
Looker Studio makes it straightforward to build and share web reports, especially for GA4, Search Console, campaigns and compatible sources. Connectors, permissions and data volume affect what it can do and how well it performs.
There is no universal winner. The choice depends on your sources, users, budget and maintenance.
Section 3
Match the platform to the situation
A shop that reviews weekly sales in spreadsheets may get more value from improving its Excel process first. A business comparing locations, inventory and budgets against common measures may benefit from a Power BI model.
For web and campaign reporting, Looker Studio can be a suitable starting point. A combination can also work: Excel for operational input and Power BI for analysis.
Consider Excel
Few sources, flexible analysis and a team already using spreadsheets.
Consider Power BI
Several sources, shared definitions and controlled distribution.
Consider Looker Studio
Web or marketing reports built on supported connectors.
Section 4
Four mistakes to avoid
Do not buy licences before agreeing on the measures. Do not duplicate data without a source of truth. Do not call a daily refresh real-time. Do not fill the screen with charts that have no purpose.
Build a small prototype with real data first. If the decision-maker understands the measure, trusts it and knows what to do next, you have made useful progress.
Frequently asked questions
Can Excel support professional dashboards?
Yes. For manageable data and a well-defined process, Excel and Power Query can meet the need effectively.
Is Power BI always paid?
It depends on how you use it. Building a model locally and sharing reports across an organisation have different requirements.
Can I move from Excel to Power BI later?
Yes. A clean table structure and documented calculation rules make a later move easier.