Few business tools have shown the staying power of Microsoft Excel. First released in 1985, Excel has evolved from a simple spreadsheet application into one of the most widely used analytical tools in the world. Over decades of technological change—client-server systems, cloud ERPs, business intelligence platforms, and now AI—Excel has not just survived. It has adapted.

For finance and accounting teams especially, Excel remains foundational because it has continuously absorbed new capabilities while preserving what users value most: flexibility, transparency, and control.

As we enter the AI era, Excel’s role is not disappearing. Instead, it’s becoming even more powerful, especially when paired with modern ERP integrations.

Why Excel Has Endured (Especially in Finance)

Excel’s longevity isn’t accidental—it’s rooted in the unique demands of finance work. Budgets shift, forecasts pivot, and reporting questions change on the fly. While database systems and ERP reporting modules are built for structure and consistency, finance teams need flexibility and adaptability—and Excel delivers it.

A tool that evolves with the business world

Excel has been a mainstay for nearly 40 years and has remained one of the most widely adopted business tools globally. A recent Datarails study found that 82% of finance professionals report an emotional attachment to Excel, and nearly 90% of companies use it for financial processes. Remarkably, many younger finance pros spend over five hours a day working in Excel, with a significant portion saying they wouldn’t want a job that prohibited Excel.

That kind of usage demonstrates not just familiarity but dependency: Teams rely on Excel because it lets them mold data to answer questions that systems weren’t explicitly designed to answer.

Real-world finance use cases

Finance teams don’t just use Excel for basic budgeting. They rely on it for:

• Financial modeling – Leveraging functions like NPV, IRR, and XNPV to evaluate investment decisions or long-term cash flows. 
• Custom reporting and analysis – Creating dashboards, pivot tables, and scenario analyses that don’t exist in prebuilt ERP reports.
• Decision support – Combining operational, sales, and ERP data to forecast performance or run sensitivity analyses. 

These are not just theoretical examples: Investment bankers model complex valuations in Excel, corporate finance teams prepare board-level forecasts in spreadsheets, and FP&A groups run rolling forecasts that would be extremely difficult to build inside fixed ERP reporting interfaces.

How Excel has adapted with new capabilities

Excel has never stayed static. Over the years, Microsoft has added features that extend its analytical reach and keep it relevant alongside modern data platforms:

• Power Query and Power Pivot
  Power Query lets users extract, transform, and load (ETL) data from disparate sources, while Power Pivot enables data modeling and relationships within Excel itself, allowing users to build analyses on datasets far larger than traditional worksheets could handle. These tools form the backbone of self-service BI directly inside the spreadsheet. 
• Larger, more complex dataset support
  With Power Pivot’s in-memory analytics engine and Excel’s evolving architecture, finance teams can work with datasets that once would have required a dedicated analytics tool, bringing database-style manipulation to a familiar spreadsheet environment. 
• Cloud integration and APIs
  Excel now integrates with Microsoft 365, cloud storage, and external data sources, making it easier to gather live data from enterprise systems, web services, and ERP platforms into a single analytics workflow.
• AI-assisted features
  Microsoft continues to add AI-driven capabilities to Excel, such as the Copilot feature that helps users generate formulas, summarize data, and automate repetitive tasks via natural language prompts, letting users focus more on insight and less on manual construction. These features signal how Excel is adapting to the AI era. 

Why finance teams still choose Excel

Despite the rise of dedicated BI tools and cloud dashboards, Excel remains popular within finance for several key reasons:

1. Familiarity and accessibility
   Excel doesn’t require specialized technical training. Analysts, accountants, and executives all understand how to navigate spreadsheets—a shared “language” for financial data. 
2. Flexibility for ad-hoc analysis
   ERP systems are designed to enforce structure; Excel lets analysts bend that structure to answer unanticipated questions immediately without long development cycles.
3. Bridging systems and data sources
   Finance often involves combining data from multiple platforms such as ERP, CRM, payroll, and planning systems. Excel’s connectors and transformation tools let users bring those disparate sources together for analysis. 
4. Power under the hood
   With add-ins like Power Query and Power Pivot, Excel handles tasks that once required dedicated analytical platforms. Analysts can build complex models, dashboards, and scenario simulations all within Excel, often faster than using separate tools. 

Excel remains the real world’s decision engine

For finance teams, Excel is less a spreadsheet and more a decision engine: a place to gather data, make assumptions, test scenarios, and present results. Its endurance isn’t a relic of inertia; it’s a reflection of how work actually gets done in finance departments around the world.

Excel’s Role in ERP Reporting

ERP systems like NetSuite are excellent systems of record. They enforce structure, consistency, and controls. But ERP reporting tools are often optimized for predefined views, not the fluid, iterative analysis finance teams rely on.

Excel fills that gap.

Despite the growth of native ERP reporting tools, finance teams still turn to Excel because it lets them:

• Combine data from multiple systems (ERP, CRM, payroll, planning tools)
• Perform ad-hoc analysis without waiting on IT
• Apply judgment, adjustments, and scenario modeling
• Work in a familiar interface trusted by auditors and executives

This is why even organizations with robust ERP reporting still export data to Excel. The spreadsheet remains the place where analysis actually happens.

For ERP reporting, Excel is commonly used to:

• Create management and board-ready reports
• Perform variance analysis and reconciliations
• Build forecasts and what-if scenarios
• Combine ERP data with operational or external data
• Validate and audit system outputs

The challenge isn’t whether Excel belongs in ERP reporting—it clearly does. The challenge is how ERP data gets into Excel.

The Problem with Manual ERP Data Exports

Traditionally, finance teams pull ERP data into Excel by:

• Running saved reports or searches
• Exporting CSV files
• Copying and pasting data into Excel models
• Manually refreshing files each reporting cycle

This approach is familiar but costly.

Manual exports introduce:

• Version control issues (“Which file is correct?”)
• Time delays between system updates and reports
• Risk of formula errors or broken links
• Repetitive work that pulls teams away from analysis

In a world where data changes constantly, static exports quickly become stale. As reporting cycles accelerate, the friction of manual processes becomes harder to justify.

The Shift to Live ERP Data in Excel

This is where the future of Excel becomes clear. The next phase of Excel isn’t about replacing spreadsheets; it’s about connecting them directly to live systems.

Modern integration tools allow Excel to act as a live window into ERP data rather than a snapshot in time. Instead of exporting and reworking files, users can query live data, refresh it on demand, and trust that what they’re seeing reflects the system of record.

This is the model behind ExtendInsights by CloudExtend.

How ExtendInsights Changes Excel-Based ERP Reporting

ExtendInsights is designed specifically for NetSuite users who rely on Excel. It allows finance teams to automatically access live NetSuite data directly inside Excel without manual exports.

With ExtendInsights, users can:

• Pull NetSuite data into Excel using saved searches they already trust
• Query NetSuite using SuiteQL for more complex or custom reporting needs
• Refresh data on demand or on a schedule, eliminating stale reports
• Keep Excel formulas, pivots, and models intact while data updates automatically

What makes ExtendInsights particularly future-ready is its AI Query Generator. This new feature allows users to request the data they want in natural language, and ExtendInsights will automatically generate the SuiteQL query. 

Why This Matters in the AI Era

AI may be changing how people interact with data, but it doesn’t eliminate the need for spreadsheets. Instead, it lowers the barrier between questions and answers.

Excel remains the interface where:

• Results are reviewed
• Assumptions are tested
• Decisions are finalized

By combining Excel’s flexibility with live ERP data and AI-assisted querying, tools like ExtendInsights ensure Excel stays relevant, not as a static file, but as a dynamic analysis environment.

This is the future of Excel:
familiar, powerful, connected, and intelligent.

The Future of Excel is Connected

Excel isn’t going away. It’s evolving.

For finance teams using NetSuite, the future isn’t choosing between ERP reporting and Excel; it’s connecting the two in a way that eliminates manual work while preserving flexibility.

ExtendInsights makes that future possible by empowering Excel with a live connection to NetSuite data, enhanced by automation and AI.

Try ExtendInsights free for two weeks and experience what Excel looks like when it’s connected to the system of record to better support the way your team actually works.