Connector Database / Freshdesk
Analyze your Freshdesk data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Freshdesk data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Freshdesk data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your Freshdesk data with DuckDB-powered data warehouse including Stripe, Zendesk and MongoDB.
Available Freshdesk Data
Extracts Freshdesk customer support data including tickets, conversations, agents, contacts, companies, groups, email channel configurations, SLA policies, and ticket field metadata. Enables analysis of ticket volumes and trends, agent performance and workload, SLA compliance, customer account health, and support operations configuration.
Ticket
Represents individual support requests and their lifecycle; enables analysis of ticket volume and trends, backlog, response and resolution times, SLA compliance, and segmentation by custom fields.
Conversation
Captures all messages and notes on a ticket thread; used to measure first response time, touch counts, reply cadence, and collaboration on cases.
Agent
Represents support agents handling tickets; supports analysis of agent productivity, workload, ownership, and resolution performance.
Group
Represents agent teams or queues for routing and assignment; enables workload distribution and performance benchmarking by team.
Contact
Represents end users/requesters; used for customer segmentation, ticket attribution, and understanding demand by persona or segment.
Company
Represents customer accounts associated with contacts and tickets; enables account-level support demand, health, and SLA performance analysis.
SLA Policy
Defines response and resolution targets by priority or tier; used to calculate SLA compliance, breaches, and time-to-first-response/resolution against policy.
Email Channel
Represents inbound support email addresses and routing configuration; supports channel mix analysis, ticket source attribution, and intake optimization.
Authentication Required
Uses an API key from your Freshdesk account via HTTP Basic authentication
Getting started with
Freshdesk Analytics & Business Intelligence
Connect your Freshdesk data
Connect to Freshdesk once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
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.
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?
Freshdesk 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.
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.
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