Connector Database / Kanbanize
Analyze your Kanbanize data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Kanbanize data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Kanbanize 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 Kanbanize data with DuckDB-powered data warehouse including Zendesk, HubSpot, S3 and Google Sheets.
Available Kanbanize Data
Extracts Kanbanize task (card) data from a specified board, including fields like assignee, title, description, status/column and lane, tags, blockers, lead time, logged time, custom fields, links (parent/child/related), and timestamps. Enables analysis of workflow efficiency, cycle/lead times, team workload, bottlenecks, and board performance.
Card (Task)
Represents individual work items on a Kanban board with status, assignee, tags, blockers, custom fields, links, and timestamps; enables analysis of throughput, cycle/lead times, and delivery performance.
Board
The Kanban board context that groups cards and workflow stages; supports board-level performance analysis such as throughput trends and bottleneck detection across columns and lanes.
Workflow Stage
Columns and lanes defining the process stages for cards; enables analysis of stage WIP, transitions between stages, and identification of bottlenecks.
Assignee
Users responsible for cards; supports workload distribution, throughput by person, and cycle/lead-time performance by owner.
Tag
Labels applied to cards; enables segmentation of work by type, priority, or project to compare volumes and cycle/lead times across categories.
Blocker
Indicators and reasons showing when a card is blocked; supports measurement of blocked rate, time blocked, and impact on delivery timelines.
Time Tracking
Logged time and time-derived metrics on cards (e.g., lead time); enables effort analysis, capacity utilization, and correlation with delivery speed.
Task Relationship
Parent, child, and related links among cards; supports dependency analysis, epic/story rollups, and cross-item progress tracking.
Custom Field
User-defined attributes attached to cards; enables domain-specific segmentation, KPI slicing, and standardized reporting across boards.
Authentication Required
Uses an API key from your Kanbanize account to authenticate
Getting started with
Kanbanize Analytics & Business Intelligence
Connect your Kanbanize data
Connect to Kanbanize 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?
Kanbanize 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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