Data Panda brings your Slack 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 operations, platform and people teams use every day.
Slack launched in August 2013, built inside Stewart Butterfield's game studio Tiny Speck as an internal tool before it ever became a product. The company went public in June 2019 on NYSE through a direct listing and was acquired by Salesforce on 21 July 2021 for roughly 27.7 billion dollars, which makes it today a Salesforce business line rather than an independent company. Slack's public scale claims now cite more than 200,000 paid customers and 77 of the Fortune 100, with product surfaces around Channels, Huddles, Canvas, Lists and Workflow Builder.
For most companies Slack stopped being 'chat' a long time ago. It is where support triage happens, where incidents are declared, where CRM and monitoring alerts land, and where teams quietly rebuild project status out of thread history. That is useful right up until the moment someone asks which channels are still alive, which alerts nobody reads, or which teams over-rely on private channels the rest of the company can't see. Our connector pulls the workspace channel inventory into your warehouse so those questions have an answer that does not require the admin console.
Channels, owners and archive state in one place, rather than an admin-console export nobody re-runs.
Let channel metadata trigger housekeeping the admin would otherwise do by hand.
Put workspace topology behind AI that helps route people and alerts.
Small internal tools on channel metadata for platform and people teams.
A list of concrete reports, automations and AI features we have built on Slack data. Pick the one that matches your situation.
How many of our channels are still alive?
Active versus dormant channel counts per team and topic, with the cut-off you choose (30, 60 or 90 days of no activity). The platform team sees which corners of the workspace are still doing real work and which ones are waiting to be archived, rather than guessing from a quarterly admin-console export.
Where does alert routing quietly break?
Alert-channel inventory with owners, membership size and archive state. Channels that nothing reads any more, channels whose owner has left, and channels that duplicate another channel's purpose all surface as a list, so the next alert-routing review starts with facts rather than a meeting.
Which teams lean hardest on private channels?
Ratio of private to public channels per team or department over time. Useful for the audit conversation where HR or legal wants to understand which parts of the company are quietly running work in places the rest of the business can't see.
Channel-inventory visibility alongside tool-spend reports. Slack cost per active channel and per active user becomes a number you can compare across the workspace, instead of a flat line in the SaaS-spend deck.
Deal-room and account-channel hygiene. You see which customer channels are still active, which have gone quiet, and which ones should be archived before the next renewal conversation.
Workspace topology in one view. Platform-ops runs alert-channel cleanup, owner reassignment and naming-convention audits on data that refreshes with the rest of the warehouse, not on a one-off CSV from last month.
Stage changes, closed-won deals and at-risk opportunities in Salesforce route to the account channel or the regional sales channel, with the deal value, owner and key fields attached. Sales leadership sees movement on the channel where the team already is, rather than in an email that lands two hours later.
Tickets that cross SLA thresholds or come from strategic accounts in Zendesk post to the matching support or account-team channel in Slack with customer tier, ticket summary and requester attached. Support leads spot breaches on the channel the 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 Slack 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.
Deal-stage changes and high-value HubSpot deals post to the sales channel in Slack with deal owner, amount and the last activity summary attached. Sales managers respond in the channel where the team already coordinates, rather than in a separate email trail.
These are the 1 tables we currently pull from Slack 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 Slack 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 Peliqan Slack connector pulls channel metadata: channel id, name, purpose, topic, members, privacy setting and archive state. Message content is not part of the default pull, which keeps the scope well inside workspace-topology reporting rather than conversation analytics. Message-level access needs a separate conversation about privacy, retention and scope, and is not how we recommend most customers start.
Private channels are visible to the connector only when the app or token authorising the pull has been added to them. In practice that means the warehouse holds the full public-channel inventory plus the private channels the integration is explicitly invited into, which is the boundary most security teams ask for anyway.
We review your Slack setup and the systems around it. Together we pick the first thing worth building.