Want the quick answer?
Yes — Microsoft Excel remains a critical business tool in 2026. While newer platforms like Power BI and cloud-based tools have grown in popularity, Excel continues to underpin day-to-day analysis, financial modelling and data handling across organisations.
For employers, ensuring teams are confident in Excel means faster reporting, better decision-making and stronger data capability.
Why Excel still matters for businesses:
- Widely used across finance, operations, marketing, and HR
- Ideal for quick analysis, modelling and ad hoc reporting
- Integrates with tools like Power BI and SQL
- Supports automation and efficiency through formulas and macros
- Forms the foundation for broader data skills
What is Microsoft Excel used for in business today?
Microsoft Excel remains a versatile tool for organising, analysing, and visualising data across a wide range of business functions. It enables professionals to work efficiently with data without requiring advanced technical skills.
From financial reporting to operational tracking, Excel supports both day-to-day tasks and strategic decision-making.
Its ability to adapt and evolve through new features ensures it remains relevant, even as more advanced tools emerge.
Why is Microsoft Excel still relevant?
Despite the rise of new technologies, Excel continues to play a central role in business because of its flexibility, accessibility and familiarity. It allows teams to quickly explore data, test scenarios and build models without relying on complex systems.
For many organisations, Excel acts as the foundation for data literacy — making it an essential skill across departments.
How does Excel support data-driven decision-making?
Excel provides the tools needed to analyse data, identify patterns and generate insights that inform business decisions. Its functions, formulas and pivot tables enable users to interpret large datasets and extract meaningful conclusions.
By improving access to data and simplifying analysis, Excel helps teams make faster, more informed decisions.
What are the real-world applications of Excel?
Excel is used across industries because of its flexibility and practicality. It supports a wide range of use cases, making it valuable for both specialist and non-specialist roles.
- Finance: budgeting, forecasting and financial modelling
- Marketing: campaign tracking and performance analysis
- Operations: inventory management and process optimisation
- HR: workforce planning and reporting
This versatility makes Excel a core tool for improving productivity and efficiency across organisations.
What are the top Excel skills employers want in 2026?
As businesses become more data-driven, employers are looking for professionals who can go beyond basic spreadsheet use. Developing these core skills ensures teams can work more efficiently and deliver greater value.
Top Excel skills checklist:
- Data cleaning
Removing errors and structuring raw data for analysis (e.g. cleaning customer datasets before reporting) - Data analysis
Using formulas, pivot tables and functions to interpret data (e.g. identifying trends in sales performance) - Financial modelling
Building structured models to forecast outcomes (e.g. projecting revenue scenarios) - Automation
Using macros and formulas to reduce manual work (e.g. automating monthly reports) - Data visualisation
Creating charts and dashboards to communicate insights (e.g. presenting KPIs to stakeholders)
How does Excel compare to Power BI and Google Sheets?
While Excel remains essential, it often works alongside other tools rather than replacing them. Each platform has its strengths depending on the use case.
| Tool | Best for | Strengths | Limitations | When to choose |
|---|
| Excel | Analysis and modelling | Flexible, widely used, strong formulas | Less scalable for very large datasets | Day-to-day analysis and financial modelling |
| Power BI | Data visualisation and reporting | Interactive dashboards, handles large datasets | Requires setup and training | Business-wide reporting and insights |
| Google Sheets | Collaboration | Real-time sharing, cloud-based | Less powerful for advanced analysis | Collaborative, lightweight data tasks |
Can Excel work alongside tools like Power BI?
Excel integrates seamlessly with tools like Power BI and SQL, making it a key part of a wider data ecosystem. It is often used to prepare and structure data before feeding it into more advanced platforms.
Rather than being replaced, Excel complements these tools — helping users build foundational skills that transfer across systems.
Why should organisations upskill teams in Excel?
Upskilling in Excel enables employees to work more efficiently, reduce manual processes and make better use of data. It also builds confidence in using other tools, supporting wider digital transformation.
For employers, investing in Excel training helps create a more capable, adaptable workforce.
How can you upskill your team in Microsoft Excel?
A practical way to build Excel capability is through structured programmes like the Data Analyst Level 4 apprenticeship, which develops both Excel proficiency and broader data skills.
Who is it for?
- Employees looking to develop data and analytical skills
- Finance, operations or marketing professionals working with data
- Organisations building internal data capability
What will learners gain?
- Advanced Excel skills for analysis and modelling
- Experience with tools such as SQL, Power BI and Python
- The ability to interpret and communicate data effectively
- Practical, job-ready skills applied in real business contexts
Why choose an apprenticeship?
- Combines learning with real work experience
- Delivers immediate impact in the workplace
- Supports long-term capability building
Build stronger data skills with Excel training
Excel remains a core business tool — and developing these skills is key to improving efficiency, insight and decision-making across your organisation.
Explore the Data Analyst Level 4 apprenticeship.
FAQs
Is Excel still relevant in 2026?
Yes. Excel remains widely used across industries for analysis, modelling and reporting, and continues to be a core business skill.
Excel vs Power BI — when should you use each?
Excel is best for detailed analysis and modelling, while Power BI is better for visualising large datasets and sharing insights across organisations.
Can Excel handle big data?
Excel can handle moderately large datasets, but performance may slow with very large volumes. For more complex or large-scale data, tools like Power BI or SQL are more suitable.
What are the most important Excel functions for analysis?
Key functions include VLOOKUP/XLOOKUP, SUMIFS, IF statements, pivot tables and data visualisation tools.
How does Excel integrate with Power BI and SQL?
Excel can connect to SQL databases and feed data into Power BI. It is often used to clean and structure data before visualisation and reporting.