Power BI vs Excel – Which Should You Choose?

Power BI vs Excel – Which Should You Choose?

Your Excel report is fantastic. But it is also slow, hard to update, and nobody else dares touch it. Is it time for Power BI? Not necessarily. Here is how to know.

The question “power bi vs excel” comes up in almost all of our consulting assignments. Companies see colleagues who have switched to Power BI, read about “modern data analysis”, and wonder whether their Excel solutions are outdated. The answer is more nuanced than most people think.

After 15 years with both tools, we at Excel Department know one thing for certain: there is no universal winner. Excel is perfect for some situations. Power BI for others. Many organisations need both. This article gives you an honest, practical comparison so you can make the right decision for your particular situation.

Quick comparison

Before we dive deep, here is the core of the power bi vs excel discussion:

Parameter	Excel	Power BI	Winner
Data volume	<1 million rows in practice	10+ million rows smoothly	Power BI
Learning curve	Low, most people know the basics	Medium to high	Excel
Cost	Included in M365 (~120 SEK/month)	70-150 SEK/user/month extra	Excel
Real-time data	Limited, manual refresh	Automatic, scheduled	Power BI
Visualisation	Good for simpler charts	Advanced, interactive	Power BI
Flexibility	Extreme, almost anything goes	Structured, best for BI	Excel

Excel suits you if:

• You work with <100 000 rows of data
• You need detailed control and flexibility
• Your users already know Excel
• You make budgets, forecasts, or detailed analysis
• You want to avoid extra costs

Power BI suits you if:

• You handle large volumes of data (>1 million rows)
• You need dashboards that update automatically
• You want to share interactive reports with many users
• You have data from many different sources that need to be combined
• You need mobile access to reports

The truth most people miss: Most professional data organisations use both. Excel for ad hoc analysis, detailed work and budgeting. Power BI for recurring reporting, dashboards and large data volumes.

At Excel Department we work with both tools every day. We help companies choose the right tool for the right situation, and we migrate Excel solutions to Power BI when it actually adds value – not because it is trendy.

What is Excel, and when is it perfect?

Microsoft Excel is the world’s most widely used analysis tool, with over 750 million users. It is a spreadsheet application that combines data storage, calculations, analysis and visualisation in a single tool.

Excel’s core strengths:

1. Universal skills

Almost all office workers know basic Excel. When you build an Excel solution, you create something your colleagues can actually use and maintain. There is no learning barrier.

2. Extreme flexibility

Excel does not limit you. Want to mix tables with free text? Combine calculations with images? Create a unique layout that fits your particular process? It works. You can also automate Excel with VBA to handle repetitive tasks. This freedom is both Excel’s greatest strength and sometimes its weakness.

3. Detailed control

When you need to review every cell, adjust every formula, or understand exactly how a number was calculated, Excel is unbeatable. You see everything. You can change everything.

4. Perfect for ad hoc analysis

Need to quickly analyse a data file someone sent you? Excel opens in seconds. No data models to build, no relationships to define. Just open the file and start analysing.

5. No extra cost

If your company has Microsoft 365 (which most do), Excel is included. Every user can open and edit files without extra licences.

When Excel is the right choice:

• Budgeting and forecasting: Detailed financial models with many assumptions and scenarios
• Data validation: When every cell must be reviewed and approved manually
• Complex calculations: Advanced formulas that require cell references and custom logic
• Small to medium-sized datasets: Up to ~100 000 rows works excellently
• One-off analyses: When you will not reuse the analysis regularly
• Templates and forms: Structured input documents with calculations

Excel’s honest limitations:

• Performance with large data volumes: Above 100 000 rows Excel becomes noticeably slower
• Risk of errors: Formulas can be overwritten, data can be deleted by mistake (read more about the most common Excel problems)
• Difficult version control: Several people working at the same time create conflicts
• Manual updating: Data often has to be copied or imported manually
• Limited sharing: Hard to share dynamic, interactive reports securely

Excel is not outdated. It is still the best tool for millions of use cases. But it is not always the right tool for every situation, which brings us to Power BI.

What is Power BI, and what can it do?

Microsoft Power BI is a business intelligence platform built to handle large volumes of data, automate reporting, and deliver interactive insights to many users at the same time.

Where Excel is a general-purpose tool that can do (almost) anything, Power BI is purpose-built for a specific goal: turning raw data from several sources into visual, interactive dashboards that update automatically.

Power BI’s core strengths:

1. Large data volumes without problems

Power BI handles millions of rows without slowing down. Datasets of 10-50 million rows work smoothly, which is impossible in Excel.

2. Automatic data refresh

Connect Power BI to your data sources (databases, CRM systems, Excel files in SharePoint) and schedule automatic refreshes. Your dashboard always shows current data without manual work.

3. Interactive visualisations

Power BI’s visualisations are not static images. Users can click, filter, and drill down into the data to find answers to their own questions.

4. Centralised sharing

Publish a report to the Power BI service once. Hundreds of users can then open it in the browser, on their phone, or in Teams. Everyone sees the same version with the same data.

5. Combining data from several sources

Combine data from SQL databases, Salesforce, Google Analytics, Excel files and dozens of other sources in a single report.

6. Row-level security

Configure security so that different users see different data in the same report. Sales managers see the whole organisation, salespeople see only their own customers.

When Power BI is the right choice:

• Recurring reporting: Monthly reports, KPI dashboards, sales follow-up
• Large data volumes: Anything above ~500 000 rows
• Many data sources: When you combine data from 3+ different systems
• Broad user base: When 10+ people will consume the same reports
• Real-time requirements: When decisions are based on current data
• Mobile use: When reports are needed on a phone or tablet
• Self-service BI: When users should be able to explore the data themselves

Power BI’s honest limitations:

• Steeper learning curve: Requires an understanding of data modelling, DAX formulas, and BI concepts. An Excel course can be a good foundation before you start with Power BI.
• Extra cost: 70-150 SEK per user per month on top of M365
• Less flexibility: Structured environment, harder to make “odd” solutions
• Over-engineered for simple needs: If you only need to sum 1000 rows, Excel is faster
• Requires planning: You have to design data models, not just open a file and start

Power BI is not better than Excel. It is different. It solves different problems. When those problems match your needs, Power BI is superior. When they do not, Excel is often smarter.

Head-to-head comparison

Let us go deeper into the power bi or excel dilemma with a detailed comparison across the most critical parameters:

Area	Excel	Power BI	Explanation
Data volume	Max ~1 million rows in practice	10+ million rows smoothly	Power BI uses columnar database technology for compression and fast query handling
Learning curve	Low – most people can start right away	Medium to high – requires training	80% of office workers know the Excel basics. <5% know Power BI without training
Cost per user	Included in M365 (~120 SEK/month)	+70 SEK (Pro) or +150 SEK (Premium per user)	Excel is “free” if M365 is in place. Power BI requires separate licences
Real-time data	Limited, requires Power Query	Native support, scheduled refresh	Power BI can refresh every 15 minutes, Excel requires manual refresh or Power Query automation
Visualisations	Standard charts, customisable	100+ visual objects, interactive	Excel’s charts are static. Power BI’s are clickable and filterable
Mobile access	Excel app, limited functionality	Dedicated Power BI app, full functionality	The Power BI app is built for mobile BI, the Excel app for editing
Collaboration	OneDrive/SharePoint, but risk of conflicts	Centralised publishing, no conflicts	Several people in the same Excel file = problems. Power BI = one source
Security	File level (SharePoint permissions)	Row level, workspaces, apps	Power BI can show different data to different users in the same report
Data source integration	Power Query (good), but labour-intensive	150+ native connections	Both can connect to a lot, but Power BI is easier for many sources
Administration	Decentralised (all files everywhere)	Centralised (the Power BI service)	Excel files spread uncontrolled. Power BI is administered centrally
Ad hoc analysis	Perfect – open and start	Clumsy – requires a data model	For quick, one-off analyses Excel wins
Flexibility/freedom	Total – do anything	Structured – do it the “right” way	Excel does not limit you. Power BI enforces best practices
Formulas/calculations	Excel formulas (well known)	DAX (more powerful, harder)	Excel formulas are intuitive. DAX is more powerful but requires learning
Version control	Difficult (OneDrive versions)	Simple (publishing history)	Power BI keeps a history of publications automatically
Export options	Native Excel – perfect export	PDF, PowerPoint, Excel – but loses interactivity	Irony: Power BI reports are often exported to Excel for detailed analysis

Summary of the head-to-head:

• Power BI wins: Large data volumes, automation, sharing, visualisation, administration
• Excel wins: Learning curve, cost, flexibility, ad hoc analysis, detailed control
• Draw: Both have Power Query, both can connect to data sources, both have strong communities

The key insight: Most of the parameters where Power BI wins are about “many users, large data, recurring processes”. Most of the parameters where Excel wins are about “quick start, detailed control, flexibility”. This explains why a hybrid is so common.

At Excel Department our consultants work with both tools every day. We regularly see customers building enormous Power BI solutions for problems that Excel solved in 20 minutes. We also see Excel files that take 10 minutes to open and that should be Power BI. The key is to match the tool to the need, not to follow trends.

Cost — What does the choice cost?

One of the most common questions we get is: “What does it actually cost to use power bi vs excel?” The answer is more complex than price tags.

Excel’s costs:

Licence cost:

Excel is included in Microsoft 365 Business Standard or Business Premium. Cost ~120-200 SEK per user per month depending on the plan. Most companies already have this licence, so the marginal cost of Excel is zero.

Hidden costs:

• Maintenance time: Manually updating reports can take 2-10 hours per month per report
• Risk of errors: Formula errors can cost far more than licences if decisions are made on the wrong data
• Knowledge dependency: “Only Maria knows how that file works” creates key-person dependencies
• Scaling problems: When files grow beyond 50 MB, performance starts to become a problem

Example: A medium-sized company with 10 monthly reports that each take 3 hours of manual work = 30 hours/month = ~30 000 SEK in personnel costs.

Power BI’s costs:

Licence cost:

• Power BI Pro: 70 SEK/user/month – for publishing and sharing content
• Power BI Premium per user: 150 SEK/user/month – for advanced features
• Power BI Premium per capacity: 38 000 SEK/month – for an unlimited number of readers

Rule: Content creators need Pro or Premium. Readers need at least Pro unless they have Premium capacity.

Examples of licensing scenarios:

• Scenario A: 5 creators + 20 readers = 25 × 70 SEK = 1 750 SEK/month
• Scenario B: 10 creators + 200 readers = Premium capacity = 38 000 SEK/month
• Scenario C: 3 creators for internal analysis = 3 × 70 SEK = 210 SEK/month

Hidden costs:

• Training: 2-5 days of training per developer (15 000-40 000 SEK per person)
• Consulting help: Initial set-up ~50 000-200 000 SEK depending on complexity
• Data source integration: Connecting and structuring data can take 20-100 hours
• Maintenance: Power BI also requires maintenance when data sources change

ROI example (real case):

A company with 80 employees had 15 Excel reports that were updated manually every week. Total time: 40 hours/month = ~40 000 SEK in personnel costs.

They migrated to Power BI:

• Licence cost: 10 Pro licences (creators) + 70 readers = 80 × 70 SEK = 5 600 SEK/month
• Initial cost: 120 000 SEK for consulting help and set-up
• New maintenance time: 8 hours/month = ~8 000 SEK

Payback: (120 000 SEK + extra licence cost) / (40 000 – 8 000 – 5 600 SEK) = ~5 months

After 5 months the company saved ~26 000 SEK/month net.

TCO calculation (3 years):

Cost	Excel solution	Power BI solution
Licences (3 years)	0 SEK (included)	201 600 SEK
Initial set-up	0 SEK (already exists)	120 000 SEK
Manual work (3 years)	1 440 000 SEK	288 000 SEK
Total cost of ownership	1 440 000 SEK	609 600 SEK
Net saving	–	830 400 SEK

Important to note: This applies to recurring reporting with manual work. For ad hoc analyses or simple datasets, Excel is cheaper.

Cost advice from Excel Department:

1. Calculate in terms of time, not just licences
2. Include the risk of errors in the calculation
3. Start small – migrate one report and measure the effect
4. Use our free consultation for an ROI calculation for your specific situation

Use cases — Which one fits your situation?

Let us make power bi vs excel concrete with real organisational scenarios:

Scenario A: Small company (<50 employees)

Situation: 25 employees, the finance manager creates a monthly report with data from the accounting system (5 000 rows), a few pivot tables, and standard charts.

Recommendation: Excel

Why:

• The data volume is small enough for Excel
• Everyone in the company already knows Excel
• No extra licence costs
• The monthly report is made by one person, no complex sharing is needed
• Flexibility to add comments and analysis directly in the report

What can be improved: Use Power Query in Excel to automate the data import from the accounting system.

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Scenario B: Medium-sized company (50-500 employees)

Situation: 200 employees, 8 department heads who want their own dashboards, data from CRM (Salesforce), the accounting system, and the HR system. About 2 million rows of data in total.

Recommendation: Hybrid – Power BI for dashboards, Excel for detailed analysis

Why:

• The data volume is too large for Excel
• Many data sources require integration
• 8 managers want automatic, up-to-date dashboards
• But: the finance team still needs Excel for budgeting and detailed analysis

Implementation:

• Power BI for: Monthly KPI dashboards, sales reports, HR metrics
• Excel for: Budgets, forecasts, ad hoc analyses on exported data
• Power BI Desktop for creating reports (free)
• 8 Power BI Pro licences for the managers (560 SEK/month)

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Scenario C: Large company (500+ employees)

Situation: 1 200 employees, a dedicated BI team, a data warehouse, 10+ data sources, 100+ users who need reports.

Recommendation: Power BI Premium capacity + Excel for special cases

Why:

• Extensive BI needs
• Premium capacity is more cost-effective than 100+ Pro licences
• Centralised administration is necessary
• Many users need mobile access

Implementation:

• Power BI Premium for all enterprise BI
• A dedicated BI team (5-10 people) develops and maintains
• Excel is used by finance and controllers for detailed work
• Export from Power BI to Excel for in-depth analysis

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Scenario D: Finance department (any size)

Situation: Budgeting, forecasting, monthly reporting, year-end closing.

Recommendation: Both – Excel primarily, Power BI secondarily

Why:

• Financial work requires cell-level control and detailed formulas
• Budgets are often unique structures that suit Excel
• But: reports to management and the board can be made more attractive in Power BI

Implementation:

• Excel for all budgeting, forecasting, and detailed work
• Power Query in Excel to fetch data from the accounting system
• Power BI for management reports and visualisation of results

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Scenario E: Sales organisation with CRM

Situation: 50 salespeople, Salesforce CRM, need daily follow-up of pipeline, deals, and performance.

Recommendation: Power BI

Why:

• Salesforce integration is native in Power BI
• Salespeople want dashboards on their phones
• Data is updated continuously
• Sales managers need real-time insights

Implementation:

• Power BI with a direct connection to Salesforce
• Sales managers get Pro licences
• Salespeople get read access (Pro or Premium depending on numbers)
• Excel is still used to export specific leads for detailed follow-up

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Scenario F: HR department

Situation: An HR manager and two HR coordinators, data from the HR system on absence, recruitment, and skills development (10 000 rows).

Recommendation: Excel (with the option of Power BI later)

Why:

• The data volume is manageable in Excel
• HR staff often feel comfortable with Excel
• Much HR analysis is ad hoc and varies
• Sensitive data that should not always be shared widely

Implementation:

• Excel with Power Query to fetch data from the HR system
• If the organisation grows or more stakeholders want HR dashboards: transition to Power BI

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Decision matrix:

Use this checklist:

• [ ] Do you regularly have >500 000 rows of data? → Power BI
• [ ] Do >10 people need the same report updated automatically? → Power BI
• [ ] Are your reports recurring (weekly/monthly)? → Power BI
• [ ] Do you need to combine data from 4+ sources? → Power BI
• [ ] Is your analysis one-off or ad hoc? → Excel
• [ ] Do you need detailed cell control and custom calculations? → Excel
• [ ] Do your users have no BI experience? → Excel
• [ ] Do you want to minimise cost and already have M365? → Excel

Unsure? Book our free 30-minute consultation and we will help you map out your needs.

Migrating from Excel to Power BI

If, after reading the above, you have decided that Power BI is the right way forward, here is what you need to know about migration:

Key insight: Your data does not disappear

Excel files can continue to exist and be used in parallel with Power BI. You do not need to “replace” Excel. You complement it.

The migration process step by step:

Step 1: Map your Excel solutions (1-2 weeks)

Take inventory:

• Which Excel files are used for reporting?
• Which are updated manually every week/month?
• Where does the data come from (copy-paste, export, manual entry)?
• What are the real data sources?
• How many users need these reports?

Prioritise: Start with reports that:

• Take the most time to update manually
• Have the most users
• Have the greatest business impact
• Have clear data sources

Step 2: Choose a pilot report (weeks 3-4)

Do NOT choose the most complex report first. Choose one that:

• Is important but not business-critical
• Has a clear data source
• Is updated regularly (so the ROI shows quickly)
• Has 3-5 users (enough to test sharing)

Example: Monthly sales report from the CRM, 5 000 rows, 3 chart types, 5 users.

Step 3: Build in Power BI (2-4 weeks)

1. Connect the data source: Use Power BI’s native connection where possible
2. Clean and transform data: Power Query (the same as in Excel)
3. Create the data model: Define relationships between tables
4. Build visual objects: Recreate the Excel charts (and improve them)
5. Test and validate: Compare figures with the Excel version row by row
6. Schedule refresh: Automate data retrieval

Step 4: Pilot test with users (1-2 weeks)

• Publish to the Power BI service
• Give access to test users
• Run in parallel with the Excel report
• Collect feedback
• Adjust based on feedback

Step 5: Full launch and training (weeks 9-10)

• Replace the Excel report with Power BI
• Short training for users (30 min is often enough to read reports)
• Document where the report is and how to use it
• Keep the Excel version archived for 2-3 months for safety

Step 6: Repeat for the next report

With experience from the pilot, the next report goes much faster (often 1-2 weeks).

Common migration mistakes (and how to avoid them):

Mistake 1: “We will migrate everything to Power BI”

Solution: Only migrate what adds value. Some Excel use cases should remain Excel.

Mistake 2: “We are going Big Bang – everything at once”

Solution: Iterative migration. One report at a time.

Mistake 3: “The Power BI report must look exactly like the Excel file”

Solution: Use Power BI’s strengths. Interactive visual objects, not Excel copies.

Mistake 4: “We do not need training, Power BI is easy”

Solution: Even report readers need a 30-minute introduction to the interactive features.

Mistake 5: “The IT department can build our reports”

Solution: Reports are best built by those who understand the business. IT helps with infrastructure.

What does migration cost?

Do it yourself:

• Time: 40-100 hours for the first report (learning)
• Time: 10-20 hours per report thereafter
• Cost: Internal time + any training (15 000-30 000 SEK per person)

With consulting help (Excel Department):

• Mapping and strategy: 20 000-40 000 SEK
• Pilot report development: 30 000-60 000 SEK
• Training for the internal team: 25 000-50 000 SEK
• After that your team can run things on its own

Long-term saving: As in the ROI example earlier, often a 5-12 month payback.

Want help with migration?

Excel Department has carried out 50+ Excel-to-Power BI migrations. We help you:

• Map which reports should be migrated (and which should stay in Excel)
• Build a pilot report together with your team
• Train your users
• Create documentation

Book our free consultation to discuss your situation.

Conclusion and next steps

After 2000 words about power bi vs excel, here is the truth: there is no universally right answer.

Excel is not outdated. It is the world’s most widely used analysis tool for a reason. For millions of use cases – budgets, forecasts, ad hoc analysis, detailed data manipulation – Excel is still the best choice.

Power BI is not always necessary. But when you have large data volumes, many users, recurring reporting, or a need for automation, Power BI is dramatically better than Excel.

Most professional organisations use both. It is not either-or. It is “the right tool for the right job”.

Decision checklist:

Consider Power BI if you answer yes to 3+ of these:

• [ ] Our reports take >3 hours/week to update manually
• [ ] We have >100 000 rows of data to analyse regularly
• [ ] More than 10 people need the same reports
• [ ] We combine data from 3+ different systems
• [ ] Our Excel files are >20 MB and slow
• [ ] We want mobile access to reports
• [ ] We make daily/weekly decisions based on these reports

Stay with Excel if you answer yes to 3+ of these:

• [ ] Our datasets are <50 000 rows
• [ ] We mostly do ad hoc analyses that vary
• [ ] Reports are created and consumed by the same person
• [ ] We need extreme flexibility in layout and format
• [ ] Our users already know Excel but not BI tools
• [ ] We want to minimise costs
• [ ] Our needs change often and unpredictably

What Excel Department can do for you:

We work with both tools every day. We are not resellers of Power BI licences. We are independent consultants who help you choose and implement the right solution.

Our services:

1. Free needs analysis (30 min): We discuss your needs and give an honest recommendation on whether power bi or excel suits you best. Book here.

1. Excel consulting: Optimise your existing Excel solutions, implement Power Query for automation, build robust Excel models.

1. Power BI consulting: Strategy, implementation, development of reports and dashboards, integration with your systems.

1. Excel courses: From basic to advanced Excel, Power Query, and data analysis.

1. Hybrid solutions: Helping you build a data infrastructure where Excel and Power BI work together instead of competing.

Next steps:

1. Evaluate your current reports: Which take the most time? Which are most critical?
2. Discuss internally: What needs do different departments have?
3. Contact us: Book a free consultation to discuss your specific situation

Contact Excel Department:

• Address: Slottsbacken 8, 111 30 Stockholm
• Phone: 010-264 20 20
• Email: info@exceldepartment.se
• Google rating: 5.0/5 (26 reviews)

We are here to help you navigate the power bi vs excel choice with over 15 years of experience with both tools. Let us find the right solution for your organisation.