Data Panda brings your Google Chat spaces, threads and message metadata together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your sales, support and ops teams use every day.
Google Chat is the team-messaging product inside Google Workspace, sitting in the same left-hand rail as Gmail, Calendar, Drive and Meet. The current product was launched on 9 April 2020 as the rebrand of Hangouts Chat, and on 22 March 2022 Google began upgrading the remaining classic Hangouts users into Chat, finishing the consolidation of the older messaging stack. Today Chat ships in every Workspace plan and on consumer Google accounts, runs as a standalone app and as a panel inside Gmail, and addresses two surfaces: spaces (named or ad-hoc rooms with up to 500,000 members) and direct messages between people or groups, both with threaded replies, reactions, attachments and custom emoji.
For shops already living in Workspace, Chat is the path of least resistance for internal messaging because identity, sharing and audit are the same as the rest of the suite. Mentioning a colleague resolves through the Workspace directory. Sharing a Drive file from Chat reuses the same permissions that Gmail does. Audit logs flow through the same admin console. Our connector pulls the Chat activity surface into your warehouse through the official Chat API: spaces with their type and membership, members with role and join date, messages with thread, sender, timestamp and attachment metadata, plus reactions and space events. That is enough to answer questions support leads, sales-ops and people-ops have been raising in screenshots: which deal rooms went silent two weeks before a no-decision, which support spaces carry the same recurring escalation, which alert channels have grown into noise that nobody reads.
Spaces, threads and message volume per team, per customer and per host, on data that refreshes with the rest of the warehouse.
Let Chat activity trigger the follow-ups the room itself never asks for.
Put Chat threads and reactions behind AI that helps support, sales and ops see the pattern before the next escalation.
Small internal tools on Chat metadata for sales, support and ops leaders.
A list of concrete reports, automations and AI features we have built on Google Chat data. Pick the one that matches your situation.
Which deal rooms are going quiet while the deal is still open?
Chat spaces tagged as deal rooms join to the open opportunities in the CRM, with last-message timestamp, message cadence and the participants who contributed in the last fortnight. The opportunity that has twelve people in the room and four messages in two weeks surfaces on the sales-ops board with a silent-streak number, instead of waiting until the close-date slips and the post-mortem starts.
Which support escalations keep coming back for the same customer?
Threads in support spaces match to the customer record in the CRM and the ticket record in the helpdesk, with reopen counts and the topic of each reopen. Support leads spot the customer or product area where the same escalation thread keeps getting kicked open, and engineering gets a list of recurring patterns instead of a feeling that things are louder than last quarter.
Which alert channels have turned into background noise?
Alert spaces ranked by message volume, by source system and by the share of messages that received any human reaction or reply. Ops sees which alert channel is firing two hundred times a day with zero human acknowledgement and tunes the source, instead of muting the room and missing the one alert that mattered.
Workspace seat cost per active Chat user, with the seats that have not posted or read this quarter ranked separately. Useful at renewal, when the reseller wants to talk seat counts and you want to talk effective use across messaging, mail and meetings.
Deal-room cadence per opportunity, with silent-streak length next to deal stage and close date. Sales leadership sees which rooms are warm and which ones have already lost the deal in conversation, even if the CRM stage has not moved.
Active-space inventory, alert-channel noise, support-escalation reopens and orphaned-space cleanup in one view. People-ops, support leads and IT run housekeeping and tuning on data that refreshes with the warehouse, instead of on a screenshot from the admin console.
Chat spaces tagged as deal rooms match to the opportunity in HubSpot using participant emails and a naming convention, so each open deal carries its room cadence next to the deal stage. Sales-ops spots opportunities where the room went silent for ten days while the deal was still open, and managers coach the rep before the next forecast call.
Chat space messages and reactions roll up to the Salesforce account and opportunity using participant emails and the room naming convention. Pipeline reports per rep show internal-conversation cadence per deal stage, and silent deal rooms surface as a forecast risk before the close date moves.
Threads in internal support spaces link to the Intercom conversation that started them, so each escalation thread carries the customer record, the original message and the resolution status. Support leads run reviews on threads reopened more than twice and route the recurring topics back to product owners with the linked Intercom history attached.
When a thread in a support or ops space is reopened a third time, the warehouse marks it for engineering review and a Jira issue is opened with the thread URL, customer record and reopen history attached. Engineering teams stop debating whether something is a recurring problem and start reviewing the actual list, with the Chat conversation one click away.
Project spaces in Chat link to the matching monday.com board, so each board item carries the latest message, reaction count and the participants who weighed in. Project leads see which boards still have a live conversation and which ones have only the standup-bot posting into a quiet room, before the next status review.
Overdue invoices in Exact Online post to the customer-account space in Chat (or the AR-team space, when no customer space exists) with the invoice number, amount and days overdue. Account managers see the dunning signal next to the rest of the customer conversation, and finance has a record of which messages led to which payment without chasing screenshots.
These are the 5 tables we currently pull from Google Chat into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your Google Chat data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
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.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
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.
The connector reads the resources exposed by the official Google Chat API: spaces with type and membership, members with role and join date, messages with thread, sender, timestamp and attachment metadata, plus reactions and space events. Attachment files themselves are not pulled by default; what lands in the warehouse is the metadata used for cadence, escalation and ownership reporting. Direct-message content can be excluded at the workspace level when the audit policy requires it.
Senders and members carry their Workspace identity, so messages join to the same user records used by Gmail, Calendar, Drive and Meet through the directory. That makes it cheap to put deal-room cadence next to Calendar invites and Meet attendance for the same opportunity, or to attribute support-escalation threads to the on-call rotation behind the matching email alias. The shared identity also means audit and access controls follow Workspace rules rather than a separate messaging policy.
We review your Google Chat setup and the systems around it. Together we pick the first thing worth building.