Google Sheets connector

Use your Google Sheets data for reporting, automation and AI.

Data Panda brings your Google Sheets workbooks, tabs and ranges together with the data from the rest of your business. From one place, we turn the spreadsheets your teams quietly run on into dashboards, automations, AI workflows and custom apps your operations, finance and revenue teams use every day.

About Google Sheets

The spreadsheet your team quietly runs the business on.

Google Sheets launched in 2006 as Google Spreadsheets, after Google's 2006 acquisition of Upstartle and the 2XL spreadsheet that came with it. Today it sits in the core of Google Workspace next to Docs, Slides and Drive, free for personal Google accounts and bundled with every paid Workspace tier. Files are real-time multi-user, version-tracked through Drive's revision history, and extensible through Apps Script for in-sheet automation and Connected Sheets for queries against a BigQuery dataset.

The reason Google Sheets matters in a warehouse conversation is that most companies have one. Pricing tables, manual exception lists, vendor onboarding trackers, marketing-spend pivots, the customer list a sales rep maintains on the side: they all end up in a tab somewhere because spinning up a real database for them was never going to happen. Sheets is the path of least resistance, and the cost of that is a quiet collection of spreadsheets that hold operational truth nobody else in the stack can see. Pulling those workbooks into a warehouse is how finance, ops and IT join that truth back to the systems where it belongs.

What your Google Sheets data is for

What you get once Google Sheets is connected.

Workbook and tab reporting

Workbook count, tab usage, edit cadence and ownership across the Workspace tenant.

Workbooks ranked by editor count, last-edited age and external sharing status
Tabs that look like operational tables (named columns, ID fields, status columns) split from scratch tabs and meeting notes
Pricing, customer and inventory workbooks that drift from the system of record over time

Spreadsheet automation

Let Sheets edits drive the rest of your stack, instead of someone copying a row into the CRM on Monday.

New rows in a sales-tracking tab create or update the matching CRM record with the source workbook linked
A pricing change on a flagged tab opens a finance review ticket before the change reaches an invoice
Approved rows in an intake sheet provision the downstream record in the operational system

AI workflows

Put your real Sheets estate behind AI that knows which workbook is the live one, instead of a chat over an export.

Cross-workbook search that points at the tab a fact really lives in, with a link back to the cell
Duplicate-list detection across workbooks where two teams maintain parallel customer or vendor lists
Auto-classification of long free-text columns into your existing taxonomy for review queues

Custom apps on your data

Small tools on top of Sheets for people who shouldn't need to open the workbook to do their job.

Read-only stakeholder portal backed by a specific tab, with refresh tied to the workbook
Workbook-ownership review app with stale-tab queues per department
Validated intake form that writes back into a Sheet plus the warehouse in one step

Use cases

Use cases we deliver with Google Sheets data.

A list of concrete reports, automations and AI features we have built on Google Sheets data. Pick the one that matches your situation.

Spreadsheet sprawl auditWorkbooks per team, editor count, last-edited age and share scope, ranked by operational weight.

Pricing tab driftPricing workbooks compared to the price book in the ERP or billing system, with the cells that disagree.

Side-list customer registryCustomer or vendor lists in Sheets matched against the CRM, flagged where the Sheet leads or trails.

Apps Script inventoryWorkbooks with bound or container scripts, by author and last-run date, surfacing the automation footprint.

External sharing on workbooksWorkbooks shared outside the company, by recipient domain, file age and last-access stamp.

Stale operational tabsTabs that look operational (header row, ID column) untouched for N months, by responsible team.

Formula complexity loadWorkbooks ranked by formula count, cross-sheet references and IMPORTRANGE chains, where a single break cascades.

Manual exception loggingException trackers in Sheets joined to the system that should have caught the case in the first place.

Marketing spend reconciliationSpend workbooks reconciled against ad-platform invoices and the GL, line by line.

Connected Sheets queriesWorkbooks with live BigQuery connections, by dataset, query frequency and reader audience.

Real business questions

Answers you will finally get.

Which Sheets are quietly running operational decisions?

Workbooks ranked by editor count, edit cadence and tab shape (header rows, ID columns, status fields), so the spreadsheet that prices a product line or routes an exception shows up next to the pure scratch ones. The starting point before anyone proposes building a real app for what a tab already does.

Where is our pricing or customer list disagreeing with the system of record?

Sheets pricing and customer tabs joined to the ERP or CRM on a stable key, with the cells that drifted called out. Tells you which side has been wrong, since when, and which downstream invoice or quote already used the stale value.

How much business logic is sitting in Apps Script that nobody reviews?

Container-bound and standalone Apps Script projects inventoried by author, last-run date and which workbooks they touch. Surfaces the scripts that send mail, write to Drive or call external APIs from a workbook, so the ones that need to move into a maintained pipeline are visible.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Finance gets the pricing, spend and exception trackers that live in Sheets reconciled against the ERP and the GL. Renewal pricing in a tab matched to what billing has charged, marketing spend in a workbook reconciled to the ad-platform invoice, and a clear list of the workbooks that drift the most.

For sales leaders

Side-pipelines, account notes and territory sheets land next to the CRM record. Sales leadership sees the deals a rep tracks in a personal Sheet that never made it to Salesforce, and the customer list rows that disagree with the CRM.

For operations

Ops gets workbook-level inventory: which tabs do operational work, who owns them, which Apps Scripts run on them, and where external sharing is broader than the policy. The basis for moving load off Sheets onto something maintained, one workbook at a time.

Ideas

What you can automate with Google Sheets.

Pair with Salesforce

Sync a Sheets sales tracker with Salesforce

Sales teams running a side-pipeline or account-tracker tab in Google Sheets get two-way sync with Salesforce: new rows create or update the matching account, contact or opportunity, and Salesforce changes flow back into the Sheet. The result is one truth per account instead of a rep keeping the real notes in a Sheet and a half-maintained record in the CRM that the VP Sales dashboard reads.

Pair with BigQuery

Push Sheets workbooks into BigQuery for analysis

Operational workbooks land as tables in BigQuery on a schedule, with the original cell values preserved and the change history captured per row. The data team queries the same numbers analysts read in the Sheet without copy-pasting, and Connected Sheets stays available for the spreadsheet-native users who prefer to look the other way around.

Pair with Slack

Post Sheets edits to the right Slack channel

Edits on flagged tabs or status changes on key rows post a compact update in the Slack channel that owns the topic, with a link back to the cell range. Workbook owners stop relying on someone watching the file, and a light audit trail of who changed what sits next to the conversation where the work lives.

Pair with Google Drive

Govern Sheets through their Drive folder

Sheets files inherit governance from the Drive folder or shared drive they sit in: ownership, external-share policy and revision retention are joined to the workbook record, so the operational spreadsheets that sit in a public-link folder are visible alongside the ones in a properly scoped shared drive. IT runs a Sheets-aware access cleanup instead of a folder-level one that misses the workbooks that matter.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your Google Sheets data lives.

Power BI Microsoft

Fabric Microsoft

Snowflake Data warehouse

BigQuery Google

Tableau Visualisation

Excel Sheets & pivots

Three steps

From Google Sheets to answers in three steps.

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

Google Sheets connector configured and running
Warehouse set up in your cloud account
Clean access for your Power BI, Fabric or Tableau team
Documentation on what's in the data model
Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

Everything in Self-serve
Dashboards built to the questions your team actually asks
Automations between your systems
AI workflows scoped to real tasks your team runs
Custom apps where a dashboard does not cut it
Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.

Every team's spreadsheet looks different. How does a warehouse sync handle that?

Google Sheets workbooks are user-shaped. There is no fixed schema across tabs, and a single workbook can mix a clean operational table with meeting notes, a chart and a scratch tab. The sync pulls the workbooks and tabs the Peliqan connector exposes, lands the cell values as columns in your warehouse, and leaves the per-tab interpretation to the analytics layer. We do not pretend a generic 'CRM tab' or 'pricing tab' exists underneath. The raw shape lands; the modelling sits above it, one tab at a time.

What about formulas, named ranges and Apps Script logic?

Formulas in Sheets are evaluated by Google before the API exposes a value, so the warehouse receives the computed value the way a reader sees it, not the formula source. We can also pull the formula text on a per-cell basis where you need to audit IMPORTRANGE chains or cross-sheet references. Apps Script projects are a separate surface: we inventory which workbooks have container-bound or standalone scripts, who authored them and when they last ran, so the ones quietly running business logic stop being invisible.

Will the sync run into Google Sheets API quotas on a busy tenant?

The Sheets API has per-project and per-user quotas, and a per-workbook read shape that rewards batched range reads over per-cell calls. We use incremental sync based on the workbook's last-modified stamp from Drive, batch range reads at the tab level, and back off on quota responses. A tenant with thousands of workbooks keeps syncing without burning through the daily quota that your other Workspace integrations also depend on.

GDPR-compliant

Data stays in the EU

You own the warehouse

A first deliverable live in four to six weeks.

We review your Google Sheets setup and the systems around it. Together we pick the first thing worth building.

Book a call See our other connectors