Data Panda brings your Sprinklr 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.
Sprinklr was launched in New York City in 2009 by Ragy Thomas and went public on the NYSE under the ticker CXM in June 2021. Around 1,900 enterprise customers across roughly 19 countries run on it today, with names like Microsoft, P&G, Samsung, Uber and Deutsche Telekom in the reference list. The platform is organised in four product clouds: Sprinklr Social for publishing and engagement across more than thirty channels, Sprinklr Service for digital-first customer service with Sprinklr Voice and AI Agents, Sprinklr Insights for social listening, sentiment and competitive benchmarking, and Sprinklr Marketing for campaign planning, analytics and social advertising.
The point of pulling Sprinklr into a warehouse is that engagement rate, sentiment score and ROAS answer channel questions well and business questions badly. Which campaigns moved the needle on the customers who end up buying, which negative-sentiment spikes hit accounts that are about to renew, and which service cases came out of a paid post: those answers need Sprinklr data sitting next to CRM, ecommerce and billing. In a warehouse, social and service stop being a brand-team report and become an input to acquisition, retention and product.
Sprinklr engagement, service load and listening signals in the same picture as revenue tier and churn risk.
Let the rest of the stack react to what a Sprinklr signal already saw.
Use Sprinklr conversation history to score risk, cluster themes and audit AI Agents output.
Internal tools on Sprinklr data that leadership keeps asking the brand team to produce as reports.
A list of concrete reports, automations and AI features we have built on Sprinklr data. Pick the one that matches your situation.
Which campaigns moved the customers who end up buying?
Sprinklr campaign reach and engagement matched against the CRM accounts and ecommerce orders in the same window. Ranks the campaigns whose audience overlapped with revenue, not the campaigns whose CTR looked best in the channel report.
Where is sentiment quietly turning on a key account?
Sprinklr listening signals filtered to named accounts and tracked over weeks against a baseline. Surfaces the slow drift before the negative spike, so CS or sales can pick up the phone before the renewal call goes sideways.
Which paid posts are creating service cases the same week?
Sprinklr campaign metadata joined to the service cases opened against the same brand and product within seven days. Exposes the creatives or claims that drive case volume the support team has to absorb, so marketing and CS plan together rather than against each other.
Paid social spend per channel against pipeline created and revenue closed. Budget conversations move from 'we spent X on Meta' to 'X on Meta produced Y in pipeline for the segment that renews'.
Sentiment trend and recent service cases on the CRM account before a renewal or expansion conversation. Reps stop learning about a public complaint in the renewal meeting.
Service-case volume per channel, AI Agents quality and SLA trend on one board. Staffing and AI-tuning decisions are made against measured outcomes, not against per-tool dashboards.
Open service cases, recent sentiment trend and the last campaign engagement land as fields on the Salesforce account, matched on customer identifier. Forecast and QBR reviews show the accounts whose social and service signals are turning, so commercial and CS walk into the conversation with the same picture.
Sprinklr social interactions, sentiment shifts and open service cases push into HubSpot as timeline events on the matching contact and deal. Sales and CS see the public history before a renewal conversation, and campaign teams stop emailing customers in the middle of an unresolved complaint.
Volume and sentiment anomalies on tracked topics or named accounts post into a dedicated Slack channel with the source posts, the affected brand and the on-call owner. The brand and CS leads see the spike before it shows up in a press alert, and the response thread carries the original Sprinklr links.
When a customer opens an Intercom conversation, the matching Sprinklr social history and recent sentiment land as a side panel on the contact. Agents see whether the same person already vented on social, so the response acknowledges the wider context instead of restarting from zero.
Campaign briefs and content cards in monday.com sync to Sprinklr publication moments, with status, owner and asset links kept on both sides. The marketing team plans the editorial calendar where it already works, and the publishing team sees the live production state without a separate weekly status meeting.
Customers with an open Sprinklr social complaint or a recent negative sentiment hit are added to a suppression segment in Klaviyo. Promo flows pause until the case is resolved, so a refund-asking customer is not chased the next morning with a discount on the same product.
These are the 13 tables we currently pull from Sprinklr 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 Sprinklr 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.
We review your Sprinklr setup and the systems around it. Together we pick the first thing worth building.