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Spreadsheets Excel for Cross-Team Collaboration, Outpacing SQL on Ease of Use

5 min read

Back when data work lived mostly in the tech team, SQL was king. These days, though, the push for cross-functional projects has reshaped what tools get used. A recent Accenture survey says more than three-quarters of data-driven initiatives now pull in at least three different departments.

In that mix, spreadsheets often win out over traditional databases, mostly because they’re easy to pick up. If I drop a Google Sheets link to someone in finance or marketing, they can open it, comment, or tweak numbers right away, no special training needed. That cuts out the usual wait for a data analyst to fire off a query.

SQL still matters for heavy-duty, large-scale data jobs, but its interface can feel clunky to non-technical folks. So what we’re seeing is a split in responsibilities: the data warehouse runs on SQL, while the last mile of analysis, review and decision-making happens in spreadsheets. It’s a pattern that seems likely to stick around for a while.

For example, collaboration in Google Sheets is much easier: - Share a link with your collaborators - Add comments - Track file changes Image by Author If your collaborators are outside the data team (e.g., finance, marketing, operations), chances are they don’t use SQL — with spreadsheets, that doesn’t matter. You Want to Visualize and Present Data SQL is for querying and data analysis, but it’s not great for presenting your findings. Usually, you’d export the output of your queries elsewhere.

Ironically, it’s often spreadsheets we were trying to avoid. If visualizing and presenting data is important and you can perform analysis relatively easily in a spreadsheet, then choose it over SQL. Spreadsheets are both calculation and presentation tools.

Image by Author Typically, you’d choose spreadsheets over SQL if you need: - Charts for a presentation - Pivot tables for executives - A financial forecast model 5. Your Work Is Iterative and Messy Examples of such work are building models, brainstorming scenarios, and testing assumptions. This is where I’d use spreadsheets.

Image by Author You can use them to: - Brainstorm financial scenarios -> copy the sheet, tweak a few cells, and instantly see the results - Testing assumptions -> write two formulas, compare them, delete the weaker one; no schema migration needed - Quick what-if models -> build a rough version in a spreadsheet before formalizing it in SQL - Ad-hoc annotations -> color-coding, leaving comments, highlighting data - Formula iteration -> easily change =SUM(A1:A52) to =AVERAGE(A1:A52); no need to rewrite queries or validate syntax 6. Your Audience Doesn’t Speak SQL Company leaders, project managers, and external clients are far more likely to open a spreadsheet than a database.

Related Topics: #spreadsheets #SQL #cross-team collaboration #data analysis #Google Sheets #Accenture #data warehouse #visualization #non-technical users #decision-making

Spreadsheets still get a lot of love even though SQL rules the data world, and that tells us something useful: the flashiest tool isn’t automatically the best fit. I keep seeing a gap - data engineers can write complex queries, but many business teams just need something they can open and edit together. Think about marketing folks tweaking a budget, finance analysts tracking a forecast, or planners sketching a scenario.

In those cases, Google Sheets feels almost effortless, letting a group iterate in minutes, something a heavyweight database can struggle to match. That isn’t to say SQL isn’t powerful - it still handles massive, structured datasets with ease - but for quick, collaborative work the simplicity wins. As more companies push to be data-driven, I suspect the tool you pick will hinge on who’s actually using it and how fast they need to move.

So rather than one tool swallowing the other, we’ll probably see both living side by side, each serving the context where it shines.

Further Reading

Common Questions Answered

Why are spreadsheets outpacing SQL for cross-team collaboration according to the Accenture survey?

The survey indicates that over 75% of data-driven projects require input from at least three different departments, making ease of use and accessibility critical. Spreadsheets are becoming the default choice because they allow non-technical team members from departments like finance and marketing to collaborate effectively without needing SQL expertise.

What specific collaboration features in Google Sheets make it easier for cross-functional teams to work together?

Google Sheets simplifies collaboration by allowing users to share a link with collaborators, add comments directly within the sheet, and track file changes over time. These features create a frictionless environment where team members outside the data team can participate without requiring specialized database knowledge.

How does the article contrast the capabilities of SQL and spreadsheets for data presentation?

The article states that SQL is primarily designed for querying and data analysis but is not well-suited for presenting findings, often requiring data to be exported. In contrast, spreadsheets offer built-in tools for visualization and presentation, making them more effective for sharing results with cross-functional business teams.

Which industries benefit most from the agility and accessibility of spreadsheet platforms?

Industries where agility and accessibility are paramount, such as marketing, finance, and strategic planning, benefit most from platforms like Google Sheets. The frictionless collaboration offered by spreadsheets addresses the practical needs of these cross-functional teams more effectively than technically advanced tools like SQL.