Connector Database / Zendesk

Analyze your Zendesk data with AI

Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Zendesk data with AI-powered assistant.

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Zendesk logo
01

Start with a question

Generate automated reports and business intelligence insights from your Zendesk data—as fast as you can ask them.

Start with a question
Build visualizations and charts
02

Build dashboards and data visualizations

Transform your conversation into dynamic data visualizations on an intuitive data canvas.

03

Integrate all your data

Unify your Zendesk data with DuckDB-powered data warehouse including Google Sheets, PostgreSQL and S3.

Integrate all your data

Available Zendesk Data

Extracts Zendesk Support data including tickets, users, organizations, groups, macros, tags, ticket audits and comments, ticket fields/forms, SLA policies, satisfaction ratings, ticket metric events, Help Center articles, Zendesk Talk calls and call legs, agent activity, and Jira links. Enables analysis of support volume and trends, agent performance and workloads, SLA compliance, customer satisfaction, Help Center content updates, voice call activity, and cross-system issue linkage with Jira.

Ticket

Core support cases capturing issue, status, assignee, and timelines; enables analysis of volume, backlog, routing, SLA attainment, and resolution/response time KPIs.

Ticket Comment

Conversation messages on tickets (public and internal) used to analyze communication cadence, agent/customer engagement, and content/sentiment trends.

Ticket Audit Event

Change-log of ticket updates (status, assignee, field changes, automation effects) supporting lifecycle analysis, workflow compliance, and reopen/transfer diagnostics.

Ticket Metric Event

Time-stamped events powering granular SLA and timing analytics (e.g., first reply, requester wait, resolution), enabling time-in-state and breach analysis.

Satisfaction Rating

Customer feedback on solved tickets (e.g., good/bad with optional comment) used to track CSAT trends, drivers, and correlations with SLA and agent performance.

User (Agent/End-user)

Profiles of people interacting with support, including agents and requesters; enables agent performance reporting and customer segmentation by traits and memberships.

Organization

Accounts or companies grouping end-users; supports account-level volume, CSAT, SLA, and escalations analysis.

Group

Support teams/queues used for routing and workload; enables queue health, assignment patterns, and team performance reporting.

SLA Policy

Definitions of service targets and conditions that govern ticket SLAs; used to evaluate compliance, breaches, and performance by policy/priority.

Help Center Article

Knowledge base content entries with update timestamps; supports analysis of content freshness, publishing cadence, and support content coverage.

Voice Call

Zendesk Talk calls and legs providing telephony interaction detail; enables call volume, handle time, and call flow analytics.

Agent Activity (Talk)

Aggregated agent state and workload statistics for voice, supporting occupancy, availability, and adherence reporting.

Jira Link

Mappings between Zendesk tickets and Jira issues used to analyze engineering escalations, cross-system resolution timelines, and backlog handoffs.

Tag

Taxonomy labels applied across tickets and other entities, enabling segmentation and trend analysis by topic, product, or issue type.

Authentication Required

Authenticates to your Zendesk subdomain using either OAuth (access token) or an API token with your Zendesk email

Getting started with Zendesk Analytics & Business Intelligence

01

Connect your Zendesk data

Connect to Zendesk once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.

02

Build business intelligence models

Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.

03

Generate reports and insights

Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.

Want to see how easy it is to get started?

Zendesk usersDefinite

People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.

I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.

Aditya Sarkar

Co-Founder at Lean

A data platform built for startups

Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.

Ryan

CEO at a 9-figure E-comm Company

Immediate ROI

Have questions?

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