Connector Database / Asana
Analyze your Asana data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Asana data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Asana 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 Asana data with DuckDB-powered data warehouse including MongoDB, HubSpot, Attio and Stripe.
Available Asana Data
Extracts Asana project management data including workspaces, teams, portfolios, projects, sections, tasks, subtasks, stories (activity), tags, and users. Enables analysis of project progress, task throughput, timelines, portfolio status, team workload, and collaboration history across your Asana organization.
Project
Container for tasks and milestones within a workspace; enables analysis of progress, timelines, scope changes, status, and throughput across sections and tags.
Task
Individual work items with assignees, status, dates, and custom fields; supports cycle/lead time, completion rates, backlog health, SLA adherence, and productivity analysis by assignee, section, tag, or project.
Activity
Comments and system events (“stories”) on tasks, including status changes; enables collaboration tracking, change history, handoff frequency, and time-in-state analyses.
Section
Board columns or list sections within a project; used to model workflow states and measure WIP, throughput by stage, and bottlenecks.
Portfolio
Collections of projects with status and tracking; supports executive rollups of portfolio health, risk, progress, and capacity across initiatives.
Tag
Labels applied to tasks; enables categorization and slicing of throughput, effort, and timelines by initiative, priority, or theme.
Team
Groups of users within an organization; supports team-level capacity, workload distribution, and delivery performance across projects.
User
People who create or are assigned tasks; enables workload, utilization, assignment distribution, and collaboration metrics.
Workspace
Top-level container (or organization) for projects, teams, tags, and users; used to segment reporting across business units or environments.
Authentication Required
Connects securely to your Asana account using OAuth 2.0 (client ID, client secret, redirect URI, and refresh token)
Getting started with
Asana Analytics & Business Intelligence
Connect your Asana data
Connect to Asana 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?
Asana 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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