Connector Database / Front
Analyze your Front data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Front data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Front 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 Front data with DuckDB-powered data warehouse including Salesforce, S3, MongoDB and HubSpot.
Available Front Data
Extracts Front analytics as daily aggregated metrics across Accounts, Channels, Inboxes, Tags, Teammates, and Teams. Metrics include response/handle times, message volume, SLA breaches, workload, tagging rates, and CSAT. Enables analysis of support performance, SLA compliance, customer satisfaction, and workload trends by team, user, inbox, channel, tag, and account.
Analytics Report
Represents computed daily aggregates of support performance metrics (response/handle times, message volume, SLA breaches, workload, tagging rates, CSAT). Used to track trends and compare performance by account, channel, inbox, tag, teammate, team, and date.
Account
Represents customer accounts used as a dimension in analytics, enabling breakdowns of ticket volume, response times, SLA compliance, and CSAT by customer or segment.
Channel
Represents communication channels (email, SMS, social, etc.) used to route conversations; supports channel-mix analysis, response/handle time comparisons, volume, and SLA performance by channel.
Inbox
Represents shared or individual inboxes where conversations are handled; enables workload, backlog, response time, and SLA performance analysis by inbox.
Tag
Represents conversation tags used for categorization and topic analysis; supports tagging rate, volume, and performance metrics by tag.
Teammate
Represents individual agents handling conversations; enables agent-level productivity metrics such as workload, handle and response times, SLA adherence, and CSAT.
Team
Represents groups of teammates; supports team-level staffing, workload distribution, and performance reporting across key support metrics.
Authentication Required
Uses a Front API token (Bearer token) from your Front account to authenticate
Getting started with
Front Analytics & Business Intelligence
Connect your Front data
Connect to Front 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?
Front 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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