Data Panda brings your ServiceNow data 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 team uses every day.
ServiceNow was founded in 2003 as Glidesoft and has grown into the workflow platform most large organisations run their IT service management on. Revenue crossed ten billion dollars in 2024 and passed thirteen billion in 2025, with customers sitting heavily in the Fortune 500. Beyond ITSM, the Now Platform also covers IT operations, customer service, HR service delivery, governance and risk, and a long list of tenant-built applications. The common thread is structured workflow on top of a unified data model: incidents, problems, changes, requests, tasks, assets and the company and user records that tie them together.
The point of pulling ServiceNow into a warehouse is that the best ITSM dashboard still only answers IT questions. Which enterprise customer had the three open incidents this quarter, which assets keep generating tickets and whose contract is renewing against that backdrop: those are commercial questions, and they live outside ServiceNow. In a warehouse, incidents join Salesforce or Dynamics accounts, asset data joins the finance ledger, and change approvals join the incidents they caused in the week that followed.
Incidents, changes and asset data joined to the customer account and the finance ledger.
Let a ServiceNow state change drive the right action outside IT.
Score, classify and forecast on the ticket, problem and change stream.
Internal tools on ServiceNow data that business teams keep asking IT to produce as reports.
A list of concrete reports, automations and AI features we have built on ServiceNow data. Pick the one that matches your situation.
Which enterprise accounts are open incidents hitting this quarter?
Per-account view of open and resolved incidents, weighted by contract value and renewal date. The accounts with three live P2s a week before renewal stop surprising the account manager on the call, because the pattern is already visible on the CRM record.
Did last week's changes cause the incidents we saw?
Each change sits next to the incidents opened in the days after it in the same service area. The CAB conversation moves from a policy debate to a ranked list of the changes that consistently correlate with follow-up incidents.
Which assets keep breaking?
Incidents and requests per asset, joined to purchase date, site and owner. Assets that generated more tickets than they cost to replace get flagged, so finance and IT have the same conversation about capex and ticket volume.
Asset and install-base records from ServiceNow joined to the finance ledger. The gap between what the CMDB says you own, what finance is depreciating and what the lease schedule says stops being three spreadsheets and becomes one query.
For enterprise account owners, a view of open incidents, pending changes and SLA position on every key account. The renewal conversation is held against an operational record the customer cannot dispute.
Incident, problem, change and asset data in one warehouse, joined across instances. Service-owner reporting stops depending on report developers inside ServiceNow and moves to the same BI tools the rest of the business uses.
Open incidents and SLA position from ServiceNow land on the matched Salesforce account as custom fields and timeline activity. Account executives see the operational picture on the customer's record before the renewal call, without opening a second tool.
ServiceNow incident, request and asset data joins the Dynamics 365 account and opportunity on the same company key. Sales and service share one customer record, and renewals are planned against the actual ITSM history instead of a sales-only view.
P1 and P2 incidents on HubSpot-tracked accounts push an alert onto the owner record with the incident number, severity and expected resolution. Customer-facing teams are notified the same hour, instead of finding out from the customer the next morning.
Asset and install-base records from ServiceNow reconcile against NetSuite fixed assets and purchase records. Finance sees which devices are still in the CMDB but depreciated to zero, and which the CMDB lost track of while NetSuite still carries them.
These are the 16 tables we currently pull from ServiceNow 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 ServiceNow 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.
Incident, problem, request, task and catalog task on the workflow side, asset and install-base item on the CMDB side, plus company, consumer, sys user, contracts, knowledge and attachment records. The full list and the data model sit in the data-model section on this page.
Yes. Most enterprises build their own workflows in ServiceNow and the tables behind them are addressable through the standard Table API. We extend the sync to those tables the same way we extend other connectors: the custom table name is added, the schema is read and the rows land in the warehouse next to the base tables.
We review your ServiceNow setup and the systems around it. Together we pick the first thing worth building.