Bridging the Last Mile: How Coefficient Brings Live Snowflake Data to Your Spreadsheets

The Modern Data Stack Has a “Last Mile” Problem

Your company invested in Snowflake. You built the pipelines. You hired the data engineers. You finally have a single source of truth.

And yet, your FP&A team is still downloading CSVs every Monday morning.

Your Sales Ops lead maintains a “master spreadsheet” that hasn’t touched Snowflake in weeks. Your finance analysts spend hours copying and pasting numbers into Board decks, manually reconciling data that should already exist in your warehouse.

This is the “last mile” problem of the modern data stack—and it’s costing organizations more than they realize.

Why Business Users Bypass the Data Stack

The uncomfortable truth: BI tools don’t work for everyone. Tableau dashboards are great for monitoring, but they’re rigid. When your CFO needs to model three acquisition scenarios before tomorrow’s board meeting, they’re not opening Looker. They’re opening Excel.

This isn’t a training problem. It’s a workflow problem.

Finance and Operations teams have spent decades mastering spreadsheet-based analysis. Their models live in Excel. Their formulas are battle-tested. Their pivot tables tell stories that dashboards can’t replicate. Asking them to abandon these tools is asking them to work slower and think differently—all while facing quarterly deadlines.

So they export CSVs. They build “shadow IT” spreadsheets. They create local copies that drift further from the truth with each passing day.The result? Your Snowflake investment becomes a source of data rather than the source of data.

Introducing Coefficient: The Live Data Bridge

Coefficient was built to solve this exact problem. We connect Snowflake directly to Excel and Google Sheets, turning static spreadsheets into live, governed applications that stay connected to your warehouse.

No more CSV exports. No more stale data. No more “which version is correct?” conversations.

How It Works

With Coefficient, your business users can pull live Snowflake data directly into their existing spreadsheets. The connection stays live—data refreshes automatically on a schedule you define, ensuring that every Board deck, every P&L, and every forecast is powered by the freshest numbers in your warehouse.

Your formulas stay intact. Your pivots keep working. But the data underneath is always current.

What Makes Coefficient Different

1. Unified Data Blending Across 100+ Sources

Real business analysis rarely involves a single data source. Your finance team needs Salesforce pipeline data alongside Snowflake revenue metrics. Your Ops team combines NetSuite inventory with warehouse usage data.

Coefficient lets users blend live data from Snowflake with 100+ other business systems—Salesforce, NetSuite, QuickBooks, HubSpot, and more—directly in a single spreadsheet. No complex BI joins. No waiting for engineering to build a new data model. Just full-funnel visibility in the tool they already know.

2. True Cross-Platform Support

Most spreadsheet connectors force you to choose: Excel or Google Sheets. Not both.

Coefficient supports both platforms seamlessly—a critical requirement for enterprise organizations where different teams have different preferences, and where acquisitions often bring mixed tech stacks. Your finance team can work in Excel while your RevOps team lives in Google Sheets, all pulling from the same governed Snowflake data.

3. Write-Back Capabilities

Analytics isn’t always read-only. Territory assignments change. Product hierarchies evolve. Inventory counts need updating.

Coefficient supports write-back to Snowflake, enabling bidirectional workflows for Sales Ops, Inventory Management, and other teams that need to push updates back to the warehouse. Your spreadsheet becomes a governed interface for data stewardship, not just data consumption.

4. Enterprise-Grade Security

IT security teams have legitimate concerns about spreadsheet-based data access. “Data leakage” isn’t just a buzzword when sensitive financial data can be emailed as an attachment.

Coefficient addresses these concerns with Private Link support, granular OAuth scopes, and security architecture that passes enterprise reviews where free connectors fail. Data stays governed even when accessed via Excel.

Real-World Use Cases

Self-Serve Analytics for Non-Technical Teams

The Problem: Data teams are buried in “tactical requests”—simple data pulls that shouldn’t require SQL expertise but somehow always do.

The Solution: Coefficient provides a pre-approved “menu” of warehouse data that marketing, HR, and sales teams can access independently. No SQL required. No tickets submitted. Just governed self-service that reduces queue times and frees engineers to focus on infrastructure.

The “Last Mile” of Ad-Hoc Analysis

The Problem: Users export data from Tableau or PowerBI to “do the actual work” in Excel. This creates static offline files that immediately begin drifting from the source of truth.

The Solution: Keep the data connected to Snowflake rather than creating offline copies. Users get the spreadsheet environment they prefer while maintaining live, governed connections to the warehouse.

Full-Funnel Data Blending

The Problem: Data lives in Snowflake, Salesforce, NetSuite, and a dozen other systems. Combining it requires complex engineering or manual copy-paste workflows.

The Solution: Blend data from multiple sources in a single sheet with automatic refresh. Create unified views that would otherwise require dedicated BI development—in minutes, not sprints.

The Business Impact

Organizations using Coefficient report:

• Dramatic reduction in data ticket volume: The “tactical request” queue shrinks when business users can self-serve
• Actual adoption of the modern data stack: Finance and Ops teams who previously ignored dashboards now work with live warehouse data daily
• Elimination of “shadow IT” spreadsheets: Governed, live connections replace risky static exports
• Full-funnel visibility: Teams see the complete picture without waiting for engineering support

Recovered analyst time: Hours previously spent on “copy-paste data prep” return to actual analysis

When to Consider Coefficient

Coefficient is particularly valuable in three scenarios:

1. The Snowflake Migration When companies move from SAP, Oracle, or other legacy databases to Snowflake, they lose the Excel plugins and direct connections they’ve relied on for years. Coefficient provides a modern replacement that’s often more powerful than what existed before.
2. The “Broken” BI Workflow When you notice users constantly exporting data out of Tableau or PowerBI to do deeper analysis in Excel, that’s a signal. They’re telling you the BI tool doesn’t fit their workflow. Coefficient meets them where they are.
3. The Multi-Source Analysis Challenge When users are manually pulling data from multiple systems of record and trying to blend it in spreadsheets, Coefficient automates that workflow while keeping everything connected and governed.

Better Together: Coefficient + Snowflake

Snowflake creates the single source of truth. Coefficient delivers it to the people who need it most.

Together, we extend the modern data stack to Finance and Operations—the teams that often determine whether a data investment actually pays off. Your warehouse stays the governance anchor. Your business users stay in the tools they love. And your data stays connected, governed, and live.

No more “shadow IT” spreadsheets. No more stale Board decks. No more version control nightmares.

Just live Snowflake data, exactly where your business users need it.

Get Started

Ready to bridge the last mile of your modern data stack? Coefficient integrates with Snowflake in minutes, with no code required.

Try Coefficient Free →

Coefficient is a proud Snowflake Partner, trusted by organizations including Zendesk, Sequoia, Disney, Resideo, and Love’s Travel Stops.