Data Panda brings your Teams workspace 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 IT, operations and people teams use every day.
Microsoft Teams launched on 14 March 2017 as Microsoft's answer to Slack and folded earlier products like Skype for Business into one workspace. By July 2023 Microsoft reported around 300 million monthly active users on the platform, and Teams now sits inside the Microsoft 365 bundle on most enterprise and mid-market plans, with chat, meetings, calls, file collaboration, Planner tasks and a third-party app store in one client.
For most M365 shops Teams is no longer a chat tool. It is where meetings happen, where SharePoint files get edited together, where Phone replaces the PBX, where guests from suppliers and customers get added to channels, and where Copilot reads the meeting and the conversation. That is a lot of surface to govern. Our connector pulls the team and channel inventory plus membership, guest and meeting metadata into your warehouse, so the questions IT and the works council eventually ask have an answer that does not start in the Teams admin centre.
Teams, channels, owners and guest counts in one place, instead of an admin-centre export nobody re-runs.
Let team metadata trigger the housekeeping the M365 admin would otherwise do by hand in PowerShell.
Put tenant topology and Copilot adoption next to each other so the licence cost lines up with actual use.
Small internal tools on Teams metadata for IT, people and works-council audiences.
A list of concrete reports, automations and AI features we have built on Microsoft Teams data. Pick the one that matches your situation.
How many of our teams are still alive?
Active versus dormant team counts per business unit, with the cut-off you choose (30, 60 or 90 days of no posts, files or meetings). IT sees which teams in the tenant are still doing real work and which ones are paying for storage and licences without anyone opening them, instead of guessing from a quarterly admin-centre export.
Where are guests sitting in our tenant?
Guest membership per team and per external domain, with team owner and last-activity date attached. Security and procurement see which suppliers, customers and ex-employees still have a seat in which channel, so the next access review starts with a list rather than a meeting.
Is Copilot for Teams paying back?
Copilot licences per team and per role, lined up against actual prompt activity in chat and meetings. The CFO sees adoption per cost centre rather than a flat per-seat figure, and the people team can route training to the roles where the licence is sitting unused.
Microsoft 365 spend per active team and per active Copilot user becomes a number you can compare across the business, instead of a flat line in the SaaS-spend deck. Useful at renewal, when the M365 reseller wants to talk seat counts and you want to talk actual use.
Account- and supplier-team hygiene. You see which customer and partner teams are still active, which guest accounts should be removed before the next renewal, and which deals are quietly being run in private channels nobody else can read.
Tenant topology in one view. IT runs lifecycle cleanup, owner reassignment and guest-access reviews on data that refreshes with the rest of the warehouse, instead of on a one-off PowerShell export from last month.
Stage changes, closed-won deals and at-risk opportunities in Salesforce route to the account team or regional sales channel in Microsoft Teams, with deal value, owner and key fields attached. Sales leadership reacts in the channel where the team already meets, instead of waiting for an email that lands two hours later.
Tickets that cross SLA thresholds or come from strategic accounts in Zendesk post to the matching support team or account channel in Teams, with customer tier, ticket summary and requester attached. Support leads spot breaches in the channel agents already watch, and resolution time drops because the conversation starts seconds after the alert.
Status changes, blockers and new bugs in Jira post into the team's dev channel in Teams with issue key, assignee and priority attached. Engineering managers see flow without opening the Jira board, and incident triage grabs the full issue context straight out of the channel history.
New pull requests, review requests and merge events in GitHub post to the team's dev channel in Teams with repository, author and reviewer attached. Reviewers pick up requests in the channel they already watch, and merge bottlenecks become visible without opening every repo by hand.
You keep the reporting tool you already have. We connect it to the warehouse where your Microsoft Teams 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 default pull through the Microsoft Graph surface stays at team and channel metadata: team id, name, description, owners, members, guests, channels, privacy setting, archive state, plus meeting and call counters where the tenant exposes them. Chat and channel message bodies are not part of the standard scope, which keeps the warehouse focused on tenant topology rather than conversation analytics. Message-level access needs a separate conversation about privacy, retention and works-council scope, and is not how we recommend most customers start.
Standard channels follow the team's membership and are visible to the connector in the same scope as the team. Private channels are only visible when the application or token authorising the pull has the right Graph permissions and is permitted to read them. Shared channels (channels exposed to other tenants through Azure AD B2B Direct Connect) carry their own membership and are reported separately, so cross-tenant collaboration shows up next to internal teams rather than getting hidden inside the parent team.
We review your Microsoft Teams setup and the systems around it. Together we pick the first thing worth building.