Data Panda brings your Zendesk 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.
Zendesk was founded in Copenhagen in 2007 by Mikkel Svane, Alexander Aghassipour and Morten Primdahl, moved its headquarters to San Francisco, went public in 2014 and was taken private again in November 2022 by Permira and Hellman & Friedman for roughly ten billion dollars. More than a hundred thousand companies use it today, with the Zendesk Suite covering tickets, omnichannel messaging, help centres, macros, triggers, SLA policies and the AI Agents and Copilot layers on top.
The point of pulling Zendesk into a warehouse is that an SLA number and a CSAT score answer operational questions well and strategic questions badly. Which ticket categories predict a cancellation, which customers cost more to serve than they pay, and which AI Agents resolutions held up a week later: those answers need Zendesk data sitting next to CRM, billing and order history. In a warehouse, the ticket queue stops being a cost column and becomes an input to retention, pricing and product.
Ticket volume, SLA and CSAT in the same picture as revenue tier and churn risk.
Let the rest of the stack react to what a Zendesk ticket already said.
Use ticket history to score risk, cluster themes and audit AI Agents output.
Internal tools on Zendesk data that leadership keeps asking support to produce as reports.
A list of concrete reports, automations and AI features we have built on Zendesk data. Pick the one that matches your situation.
Which organizations cost more to serve than they pay?
Ticket-hour cost per Zendesk organization against annual contract value, over twelve months. Ranks the accounts whose support load exceeds the revenue they generate, so the CS lead knows which renewals need a pricing or scope conversation.
Where is AI Agents quietly masking an unresolved problem?
AI-resolved conversations split by reopen rate, escalation rate and CSAT. Exposes the conversations the bot closed technically and that reopened within seven days, so the resolution-rate number stops flattering the real deflection rate.
Which ticket categories predict a non-renewal?
Category mix and severity distribution in the ninety days before a churn, against the same window for retained accounts. Surfaces the three or four categories that act as churn leading indicators, not the noise that looks the same either way.
Support cost per revenue tier, with cost-to-serve visible before the renewal call. Budget conversations move from 'we need more agents' to 'we need different agents for these accounts'.
Ticket volume and severity on the CRM account before a renewal or expansion conversation. Reps stop learning about a P1 in the renewal meeting.
SLA trend, reopen rate and AI Agents quality in one board. Staffing and AI-tuning decisions are made against measured outcomes, not against dashboard vanity metrics.
Open ticket count, age of the oldest ticket and rolling CSAT land as fields on the Salesforce account, matched on Zendesk organization. Forecast and QBR reviews show the accounts whose support load is rising, so the commercial and CS teams walk in with the same picture.
Zendesk tickets, CSAT scores and category tags push into HubSpot as timeline events on the matching contact and deal. Sales and CS see the support history before a renewal conversation, and campaign teams stop emailing customers with an open severity-one.
For Dynamics 365 CRM accounts, the rolling Zendesk ticket count, severity mix and recent CSAT show up on the account record. Sellers and account managers see 'three open P1s and two negative CSATs' before the next outreach, instead of learning about it from the customer.
Stripe subscription status, last invoice and upcoming renewal join the Zendesk ticket of the matching customer. Billing questions get answered without a tab switch, and the business sees which billing incidents are producing repeat tickets the week after.
These are the 13 tables we currently pull from Zendesk 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 Zendesk 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.
Both are available. Metadata always lands: ticket ids, tags, timestamps, agents, CSAT, organization and user fields. Conversation content comes in via the Zendesk REST API when theme clustering or AI resolution audit needs it, with PII rules, redaction and retention agreed up front so message text only enters the warehouse under explicit controls.
Yes. Each Zendesk brand lands with the right brand dimension and a shared organization and user dimension on top for group-level reporting. Regional instances for data-residency reasons stay separate in the warehouse, and a consolidated view is built on top where compliance allows.
We review your Zendesk setup and the systems around it. Together we pick the first thing worth building.