Connect Asana to Mode
These companies automate their data pipelines using Integrate.io
About Asana
Asana allows you to track your team’s work and manage projects clearly and effectively so that your business can stay in sync, hit deadlines, and reach your goals.
About Mode
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Popular Use Cases
Bring all your Asana data to Amazon Redshift
Load your Asana data to Google BigQuery
ETL all your Asana data to Snowflake
Move your Asana data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
Asana's End Points
Asana Projects
Manage your Asana projects, creating descriptions, setting due dates, tracking progress, and more. This will help you better understand your team’s productivity and your effectiveness over time.
Asana Tasks
If you need an important piece of company-wide information, you can search among all tasks in all accounts. This can help you extract big-picture project insights with just a few clicks, allowing you to prepare your data for analytics.
Asana Tags
Use these tags to track specific data or understand your progress, monitoring by things like workspace ID, tag notes, and more. This will allow for better, more detailed organizational structures.
Asana Stories
A story represents an activity associated with an object in the Asana system. Tracking stories can help you understand your team’s progress, their interactions, and any pain points that they may be experiencing. Use this information to increase things like efficiency and employee satisfaction.
Asana Teams
Control and understand the teams within your organization, then use these records for big-picture insights."
Mode's End Points
Mode White-Label Embeds and Visualizations
Mode's White-Label Embeds allow you to integrate customized, interactive visualizations, and analytics into your applications — so your customers can access powerful reporting that seamlessly blends with your apps. White-Label Embeds also secure your data by ensuring that specific customers see appropriate information only. Lastly, Mode includes pre-built charts and the ability customize your visualizations in JavaScript, HTML, and CCS.
Mode SQL Editor
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
Mode Helix Data Engine
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Mode Dashboard Features
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode Native Python and R Notebooks
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.
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