Excel as a BI Tool – Possibilities, Limitations and When You Need to Upgrade in 2026

“Do we really need Power BI? Can’t we just use Excel?” That is the question we get asked most often. The answer is: it depends. Excel is a powerful BI tool – until it isn’t. Here is how to know where the limit lies.

At Excel Department we have built BI solutions in both Excel and Power BI for 60+ Swedish companies. We have seen when Excel works excellently and when it becomes a bottleneck. We have also seen companies buy Power BI prematurely and waste money when Excel would have been perfectly sufficient.

This guide gives you the tools to make the right decision for your particular situation.

Excel is more powerful than most people think

Many people underestimate Excel’s BI capabilities. They think of Excel as the spreadsheet where they make budgets and simple lists. But modern Excel has built-in BI features that compete with dedicated tools – up to a certain point.

Power Query – Excel’s hidden superpower

Power Query (formerly called Get & Transform) is Excel’s ETL tool. ETL stands for Extract, Transform, Load – fetch data, transform it, load it in.

What Power Query can do: – Import from hundreds of data sources (databases, web pages, files, cloud services) – Transform data without formulas (clean, filter, merge, pivot) – Automate the entire process (refresh at the push of a button) – Handle millions of rows more efficiently than traditional Excel

An example from real life: One of our retail clients received CSV files from 12 stores every day. Previously someone spent 2 hours manually copying data into a main file, cleaning, formatting and compiling it.

We built a Power Query solution. Now files are placed in a folder, the user clicks “Refresh” and everything happens automatically. Time: 30 seconds.

The advantage: Power Query requires no programming. It is a visual interface where you click your way to transformations.

Read more about when you need coding instead: VBA vs Power Query: Which Automation Suits You?

Power Pivot – Data modelling in Excel

Power Pivot takes Excel from a spreadsheet to a data modelling tool.

What Power Pivot can do: – Handle several related tables (relationships as in a database) – Load datasets that Excel sheets cannot handle (10+ million rows) – Create advanced calculations with DAX (Data Analysis Expressions) – Build professional pivot tables on large data volumes

When Power Pivot is perfect: A trading company had order data, customer data and product data in three different systems. They wanted to analyse profitability per customer and product.

With traditional Excel: VLOOKUP hell, slow files, crashes.

With Power Pivot: Three tables are loaded, relationships are created, pivot tables are built. Fast, stable, scalable.

Map visualisations and modern charts

Excel 2016+ has built-in: – Geographic maps (visualise data by country, region, city) – Funnel charts – Sunburst charts – Waterfall charts – Statistical charts

Combine with pivot charts and you have powerful visualisation tools directly in Excel.

Collaboration via SharePoint and OneDrive

Excel files on SharePoint or OneDrive allow: – Several users at the same time – Version history – Automatic syncing – Sharing with permission control

With Power Query fetching data from SharePoint files, you can build a distributed BI system without leaving the Office 365 ecosystem.

Excel’s limitations as a BI tool

Every tool has its limit. For Excel it is clear.

Limitation 1: Data volume

Hard ceiling: – Max 1,048,576 rows per sheet – Max 16,384 columns per sheet – The practical limit is much lower (100,000-500,000 rows depending on complexity)

Problems that arise: – Slow calculation – Files take forever to open – Crashes on refresh – “Not responding” becomes the norm

Example: A logistics company had 800,000 transactions per year. The Excel file was 85 MB, took 3 minutes to open and 5 minutes to refresh. Pivot tables froze regularly.

Solution: Power BI handled the same data without problems. File size: 12 MB. Opening time: 2 seconds. Refresh: 30 seconds.

Limitation 2: Sharing and collaboration

Excel files are shared by: – Emailing copies (the version control nightmare) – Putting them in a shared folder (who has the file open right now?) – Putting them on SharePoint (better, but still limited)

Problems: – Multiple versions of “the truth” arise quickly – Hard to control who sees what – No audit trail (who changed what and when?) – The mobile experience is poor

When this becomes acute: – More than 10 people need the same report regularly – People work remotely or on mobile – Real-time updates are needed – Row-level security is required (different users see different data)

Limitation 3: Automation

Excel can be automated with: – VBA macros (requires programming) – Power Query (limited to data transformations) – External scripts (Python, PowerShell – advanced)

But: – Automation is often tied to one file or computer – Scheduled runs require the computer to be on – Error handling is limited

Power BI Service (the cloud version) refreshes reports automatically on a server, regardless of whether your computer is on or off.

Limitation 4: Governance and security

In Excel it is hard to: – Track which changes have been made – Prevent users from changing structures – Implement row/column-level security – Administer access centrally

For small businesses this is often acceptable. For companies with compliance requirements or sensitive data it becomes a problem.

Limitation 5: Interactivity

Excel reports are static or semi-interactive. Pivot tables are interactive, but: – Users must know how to use them – Any user can break the structure – Hard to build truly advanced drill-down experiences

Power BI reports are designed for interactivity: click a chart to filter others, drill down through hierarchies, cross-filtering between visual objects.

When Excel is enough as a BI tool

Despite the limitations, Excel is perfect for many use cases.

Excel works excellently when:

1. The data volume is manageable – Under 100,000 rows – The file opens and recalculates in under 10 seconds – No expectation of strong growth

2. Few users – 1-5 people need the report – Everyone sits in the same office or can share a file easily – Nobody needs mobile access

3. Flexibility matters more than standardisation – The analysis changes often – Ad hoc questions are the norm – Every report is unique

4. The budget is tight – Excel is already included in Office 365 – No budget for new tools – The volume does not justify further investment

5. The skills are in place – The team knows Excel well – Nobody has time to learn a new tool – It is critical to get value quickly

Real examples where Excel is the right choice

Case 1: Small accounting firm (8 employees) – 25 clients – Monthly reports to each client – Data from Fortnox (exported to Excel) – Power Query compiles and formats – Finished report in 5 minutes instead of 30

Is Power BI needed? No. Excel + Power Query is perfect. Small data volume, few users, flexibility important.

Case 2: HR department in a company with 150 employees – Staff data from an HR system – Monthly report to management – Analysis of absence, recruitment, turnover – 5 years of history = about 9,000 rows

Is Power BI needed? No, not yet. Power Pivot in Excel handles this smoothly. If the company grows to 500+ employees or more departments want access, then it is time.

When it is time to upgrade to Power BI

There are clear warning signs.

Sign 1: “Must not be recalculated”

When the Excel file is so large that automatic calculation has to be turned off, you have passed the limit.

Symptoms: – Users are afraid to change anything – “Don’t press F9!” (force recalculation) – It takes minutes to open the file

Action: Migrate to Power BI, where the data model is built for large datasets.

Sign 2: Version chaos

When five people have five versions of the same report.

Symptoms: – “Report_v3_final_really_final.xlsx” – “Which figure is right?” is asked at every meeting – Time is spent comparing versions

Action: Centralise in Power BI, where everyone sees the same version.

Sign 3: Report production becomes a full-time job

When one person spends 10+ hours per week updating reports.

Symptoms: – “I don’t have time for anything else, I make reports all the time” – The same report is rebuilt manually every week – Hiring a person solely for reporting

Action: Automate in Power BI. What takes 10 hours manually takes 10 minutes automated.

Sign 4: Mobile access is needed

When the CEO wants to see dashboards on an iPad in the boardroom.

Symptoms: – “Can you email a PDF?” (loses interactivity) – Attempts to open Excel on mobile (poor experience) – Need for access outside the office

Action: Power BI has native mobile apps for iOS and Android.

Sign 5: Data sources are growing

When data needs to be fetched from 5+ different systems regularly.

Symptoms: – Manual export from each system – Copy, paste, repeat – The risk of errors increases exponentially

Action: Power BI connects directly to most systems and refreshes automatically.

Hybrid approach: The best of both worlds

Most organisations do not need to choose between Excel and Power BI. They use both for different purposes.

Typical hybrid model for medium-sized companies:

Excel is used for: – Budgets and forecasts (detailed work with many assumptions) – Ad hoc analyses (quick deep dives) – Detailed modelling (complex financial models) – Export from Power BI for further processing

Power BI is used for: – Recurring dashboards (sales, finance, production) – Large data volumes (hundreds of thousands of rows) – Sharing with many users – Real-time monitoring

Data flow: 1. Transaction systems → Power BI (daily automatic refresh) 2. Power BI visualises main patterns and trends 3. For deep analysis, users export relevant data to Excel 4. Detailed work and modelling in Excel 5. Insights are presented back in a Power BI dashboard

A manufacturing company we work with: – Power BI shows production data for the whole factory (600,000 transactions/month) – The CFO exports the month’s figures to Excel for budget comparison – Financial modelling is done in Excel – Results are fed back as a dataset in Power BI

This gives flexibility (Excel) and scalability (Power BI) at the same time.

Next step – Evaluate your needs

How do you know whether Excel is enough or whether you need to upgrade?

Self-assessment (10 minutes)

Answer yes/no to these questions:

Data volume: – [ ] Do we have Excel files over 20 MB? – [ ] Do files take more than 10 seconds to open? – [ ] Is the data volume growing by 50%+ per year?

Users: – [ ] Do more than 10 people need the same report regularly? – [ ] Do people work remotely and need mobile access? – [ ] Do different users want to see different parts of the data?

Process: – [ ] Are 10+ hours/month spent on manual reporting? – [ ] Are there several versions of the “same” report? – [ ] Must data be combined from 5+ sources regularly?

Growth: – [ ] Is the company growing 20%+ per year? – [ ] Is expansion to new markets/products planned? – [ ] Is the number of report consumers increasing?

Score: – 0-2 yes: Excel is perfectly sufficient, possibly with Power Query/Pivot – 3-5 yes: Start planning a Power BI migration within 6-12 months – 6-8 yes: Power BI should be implemented within the quarter – 9+ yes: You are losing time and money every month without Power BI

What do you do next?

If Excel is enough: – Optimise your Excel solutions – Learn Power Query for automation – Explore Power Pivot for larger datasets – Read: VBA vs Power Query

If you are on the borderline: – Build a pilot in Power BI to test – Compare workflow and results – Calculate the ROI (time savings vs cost) – Read: Migrating from Excel to Power BI: Step by Step

If you need Power BI now: – Map your reports and prioritise – Start with a pilot dashboard – Train key people – Read: Power BI for Business: From Excel to Advanced Dashboards

Do you need help deciding?

Excel Department carries out free evaluations where we: 1. Look at your current Excel solutions 2. Assess data volume and complexity 3. Calculate potential time savings 4. Give an honest recommendation (often the answer is “Excel is enough”)

Book a free evaluation (30 min)

Summary

Excel is an excellent BI tool for smaller data volumes, few users and situations where flexibility matters more than automation.

Excel works when: – <100,000 rows of data – 1-10 users – Flexibility matters more than standardisation – The budget is limited

Power BI is needed when: – >100,000 rows (or rapid growth) – >10 users or mobile access is required – Many data sources must be combined – Automation gives large time savings

Most companies: Use both. Excel for detailed work, Power BI for dashboards and large data volumes.

Which is right for you? Answer the self-assessment above or contact us for a professional assessment.

---

Related guides: – Power BI for Business – When and how to upgrade – VBA vs Power Query – Two automation tools in Excel – Business Intelligence for Medium-Sized Companies – Overall BI strategy