Data Panda brings your Zoom meeting and user 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 operations, HR and sales teams use every day.
Zoom was founded in April 2011 in San Jose by Eric Yuan, a former Cisco WebEx engineer, and went public on Nasdaq in April 2019 under ticker ZM. The 2020 surge turned the brand into a verb, and the company has since grown past video into a broader work platform around Zoom Meetings, Zoom Phone, Zoom Team Chat, Zoom Webinars, Zoom Rooms, Zoom Contact Center and Zoom AI Companion. In November 2024 it renamed itself from Zoom Video Communications to Zoom Communications, a signal that video is now one surface of a bigger suite.
Our connector pulls two tables, Meetings and Users, which is the core metadata surface. That is enough to answer questions your people-ops, finance and sales-ops leads have been asking for a while. How many hours per week does each team spend in meetings. Which recurring series never ends. Which hosts carry a meeting load that looks like a second job. Those answers live in meeting timestamps, hosts, durations and recurrence flags, not in recording content, and they are worth a lot more in a warehouse next to headcount and billable hours than inside the Zoom admin console.
Hours in meetings per team, role and host, on data that refreshes with the rest of the warehouse.
Let meeting metadata trigger the housekeeping calendars never do on their own.
Put meeting-pattern data behind AI that helps people protect focus time.
Small internal tools on Zoom metadata for operations and people leaders.
A list of concrete reports, automations and AI features we have built on Zoom data. Pick the one that matches your situation.
Which teams spend the most of their week in meetings?
Total meeting hours per team and role, week over week, next to headcount and capacity data already in the warehouse. Leadership sees which teams are running at calendar capacity and which ones have room to take on a project, rather than guessing from anecdote.
Which recurring meetings have outlived their purpose?
Recurring-series inventory with age, attendance trend and host load. The weekly sync that started two years ago with twelve attendees and now holds three still occupies the calendar of everyone on the invite, and this view surfaces those candidates for a cancel or a merge.
Which hosts are quietly carrying a second job in meetings?
Hosts ranked by meeting hours, back-to-back density and number of recurring series owned. Useful when a manager wants to know why a senior engineer is delivering less code, or why a sales lead's forecast accuracy is slipping.
Meeting-hour totals per team next to Zoom license cost and payroll burden. Finance sees which departments turn seat-time into output and which ones absorb hours that never make it to a deliverable.
External-meeting hours per rep against pipeline movement. Sales leadership separates reps who spend time with the right accounts from reps who run out their week on internal syncs.
Recurring-series inventory and host-load distribution in one view. People-ops runs meeting audits on data that refreshes with the warehouse, not on a one-off admin-console export per quarter.
Zoom meeting timestamps, hosts and participant counts sit next to the Gong transcript and deal-health score for the same call. Sales leadership reviews one row per conversation where time spent, who was on it and how it went live together, rather than in two separate tools.
External Zoom meetings match back to the Salesforce account and opportunity using attendee emails and calendar metadata. Rep activity reports show actual customer-facing hours per deal stage, and managers spot opportunities that close with only two calls versus twenty.
Zoom meeting records route into an Asana project where action items land as tasks with owner, due date and source meeting attached. Meetings that generate zero follow-up tasks over a month surface as candidates for a cancel, and accountability stops living in a private notes doc.
Upcoming Zoom meetings post to the relevant Slack channel with host, agenda link and participant count, and the post-meeting summary follows once the meeting closes. Teams stop toggling between Slack and the calendar, and meeting context stays with the people who need to act on it.
These are the 2 tables we currently pull from Zoom 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 Zoom 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 current connector pulls two tables, Meetings and Users. Meeting metadata covers host, topic, start time, duration, type and recurrence, plus the user directory. Recording files, transcripts and chat content are not part of the default pull, which keeps the scope on meeting-pattern reporting rather than conversation analysis. Conversation-level analysis is better handled through a tool like Gong, where consent, retention and redaction are a first-class part of the workflow.
Zoom users carry an email and a department field in the admin directory, which lets us join meeting activity to the same person in HRIS, Slack, the CRM and the identity provider. Shared hosts (boardrooms, support hotlines) are tagged separately so they do not inflate an individual's meeting-load score.
We review your Zoom setup and the systems around it. Together we pick the first thing worth building.