Data Panda brings your monday.com boards 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, sales, marketing and HR teams use every day.
monday.com was founded in 2012 in Tel Aviv by Roy Mann and Eran Zinman, originally under the name Dapulse before it rebranded to monday.com in 2017. The company listed on Nasdaq under ticker MNDY in June 2021 and today serves more than 225,000 customers across the monday Work Management, CRM, Dev and Service products. Boards, items, subitems and a flexible column system sit at the core: teams build CRMs, project trackers, HR processes and client portals on the same board primitive, without writing code.
For operations, sales and marketing leaders, monday is the system of record for work that does not fit neatly into a traditional CRM or ticketing tool. The built-in dashboards cover the board-level view well. The harder questions live across boards and across departments: how long a deal really takes from first touch to handover, which onboarding boards are slipping past their target, how campaign execution ties back to the pipeline that funded it, and which HR requests never closed out. Pulling monday into a warehouse is how those questions stop being a view someone rebuilt before the weekly sync.
Board throughput, handover time and column-level status across every department running on monday, in one place.
Turn CRM, support and call events into the right items on the right board, without someone maintaining a Zap every time a column gets renamed.
Put board history, updates and column changes behind AI that understands how each department really uses monday.
Internal tools that sit on monday data instead of another monday app with its own column sprawl.
A list of concrete reports, automations and AI features we have built on monday.com data. Pick the one that matches your situation.
Which boards have drifted out of ownership?
Boards with status columns that have not moved in weeks, mapped to the last person who updated them. Operations leads see where a workflow quietly went stale before a customer or a finance partner raises it in a status call.
How long does work take to move between departments?
Handover time from the board a deal closes on, to the onboarding board, to the delivery board, per client and per template. Where one team sits on an item for days, it shows up as a number against the template rather than a complaint from the team downstream.
Are our formula columns still doing what we think they are?
Formula columns referencing renamed or deleted source columns across boards, ranked by how many items depend on each formula. You find silent breakages before a dashboard, a sales report or a client portal starts showing the wrong number.
Board-level effort, slip rate and stale-item count next to the project or campaign budget line. You see which workstreams really consumed the quarter, instead of hearing about it when someone finally flags it in a steerco.
Deal-stage progress on monday CRM boards joined to the onboarding and delivery boards downstream. Account executives see whether sold work started, stalled or shipped before the renewal conversation.
Cross-board handover time, column drift and workload per person in one view. The weekly ops sync runs on data that was there all week instead of a board view someone rebuilt that morning.
Deals that close in HubSpot create the onboarding or delivery items on the right monday board from the matching template, with the account, contact and sold scope attached. Status column changes flow back to HubSpot so sales sees which sold scopes have effectively started and which are still sitting on someone's queue, without a weekly handover meeting.
Items on monday boards that depend on engineering work get a linked Jira issue in the right project and component, and the Jira status writes back to the monday status column. Operations, product and customer-facing teams track the same dependency without switching tools, and the monday board finally reflects what engineering is shipping this sprint.
Status-column changes, stale-item alerts and new high-priority items on monday boards post into the Slack channel of the owning team, with the item link and assignee tagged. Teams stop scrolling through a generic notification firehose and get the signal that belongs on their channel, instead of missing it in the monday inbox.
Gong call moments tagged as a next-step, commitment or objection create items on the right monday board, with the customer, the deal and the call snippet attached. Account executives and CSMs see the action from yesterday's call sitting on the board today, instead of a commitment that lives only in the reps head until the next forecast call.
These are the 7 tables we currently pull from monday.com 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 monday.com 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.
Yes. Items, subitems and the full column set on each board land in the warehouse, so columns like status, people, date, number and formula become reportable alongside the core monday data. When a board owner renames or retypes a column, we track the shift so downstream reports do not silently drift onto the wrong field.
Yes. monday CRM, monday Dev and monday Service sit on the same boards and items primitive as monday Work Management, so they land in the warehouse through the same connector. You get the CRM-pipeline view, the dev-sprint view and the service-ticket view next to each other from one dataset, instead of three disconnected board-level reports.
monday's GraphQL API has per-minute complexity budgets that grow with board size. We schedule reads around them and request only the fields we use, so large accounts with hundreds of boards and tens of thousands of items keep syncing without burning through the quota your in-product automations also depend on.
We review your monday.com setup and the systems around it. Together we pick the first thing worth building.