Basecamp consolidates many project management systems into one centralized location that includes to-do lists, shared documents, schedules and discussions. In the Basecamp interface, users can see what tasks need to be accomplished, who they are assigned to and when they are due. They can also access public documents and discussion boards. This allows for more organized communication and more efficient and comprehensive teamwork.
Chartio is a business intelligence solution that prides itself on ease of use. With its out-of-the-box connections to Snowflake, Google BigQuery, Amazon Redshift, and other popular data sources — along with its ability to provide direct access to information in Google Sheets, CSVs, and cloud applications — Chartio deploys in a few clicks and doesn't require additional hardware.
Popular Use Cases
Bring all your Basecamp data to Amazon Redshift
Load your Basecamp data to Google BigQuery
ETL all your Basecamp data to Snowflake
Move your Basecamp data to MySQL
Basecamp's End Points
Get data about a project, including its name, status, and the list of tools enabled for that project (schedules, to-do’s, and message boards, for example). You can also use this endpoint to modify existing projects that need additional functionality or to trash projects that are no longer being worked on.
Retrieve information about a to-do task, such as its name, status, creator and assignee. Then, look at important information about your tasks such as what tasks a person has assigned to them, what tasks are still active and how long those tasks have been active. This can help you measure project performance and other key metrics.
Track any time a change occurs in Basecamp i.e. if there is a new comment, an assigned to-do, a new document, or any number of other events. This data can help you highlight trends, run analytics, and support any other data sources that rely on event reporting.
Get information about any comment made in Basecamp, including the name of the commenter, the date the comment was made, the content of the comment, and what project the comment was on. This data can help you both monitor user engagement and gauge which projects are being talked about the most.
Chartio's End Points
Chartio Analytics with Visual SQL
Chartio's 'visual SQL' makes it easy for anyone without coding experience to explore, transform, and visualize your data through an intuitive, drag-and-drop user interface. When employees without SQL knowledge can set up a custom report in minutes, this frees up data and engineering teams to focus on more important tasks. Moreover, since the platform is built on SQL, Chartio offers more advanced capabilities to those with SQL knowledge.
Chartio's visual user interface makes it easy to customize dashboards for a more brand-consistent experience. Chartio also allows you to schedule and automate the sharing of dashboards by email, PDF, or a link. In addition, you can create alerts to track your most important metrics and receive notifications that tell you when to take action in response to new developments. Lastly, Chartio dashboards offer a 'Snapshots' tool for viewing historical data and keeping track of the most important metrics for your company.
Chartio Data Security and Compliance
Chartio's database connections offer full control by utilizing a reverse SSH tunnel for the connection. The platform also makes it easy to manage your team members' access and permissions to different types of information. Finally, transferred data is subjected to SSL-encryption, so you don't have to worry about your information being exposed.
Chartio Business Intelligence Features
Chartio's advanced business intelligence features offer the following: (1) data blending to combine different types of data for more robust insights; (2) data stores to save data segments in Chartio without needing to change operational databases; (3) drill-downs to easily dig deeper into your data; (4) drag-and-drop table joins that are automatically built into queries when using Chartio's visual SQL interface; (5) customizable schemas by writing SQL to create specialized tables and columns; (6) extrapolation features to forecast future trends; and many other features.