Through integration, the following user data from Redash is synchronized with Admina:
Employee or external account status
Redash permissions (roles)
Additionally, an alert function will be triggered if there is an account of a retired employee on Redash.
You can create or delete an account for the Redash.
Redash is a powerful data visualization and exploration platform that empowers organizations to turn their raw data into insightful visualizations and interactive dashboards. With a robust set of features, Redash enables users to easily query, visualize, and share data to make data-driven decisions. Let's delve into its feature set, pricing plans, and common use cases.
【Features and Details】
Redash offers a wide array of features to simplify the data analysis and visualization process. Its intuitive query editor supports various data sources, including SQL databases, APIs, and more. Users can create complex queries using a visual interface or raw SQL queries.
The visualization options in Redash are diverse, ranging from charts and graphs to pivot tables and cohort analysis. Users can customize the visualizations to suit their needs and create interactive dashboards that provide real-time insights.
Collaboration is a key aspect of Redash, allowing users to collaborate on queries and dashboards by sharing links or embedding them in other applications. Scheduled alerts and reports keep users informed about important changes in the data.
Redash offers flexible pricing plans to cater to different organizational requirements. The Self-Hosted plan allows users to deploy and manage Redash on their own infrastructure. The Cloud plan provides a managed hosting solution, taking care of infrastructure management. The Enterprise plan offers advanced features, priority support, and customization options.
【Common Use Cases】
Redash finds application across industries and roles. Marketing teams can use Redash to analyze campaign performance and track key metrics. Sales teams benefit from visualizing sales data to identify trends and opportunities. Data analysts leverage Redash to explore datasets and generate insights for decision-making.
Product managers use Redash to track user behavior and product usage, informing feature development. With Redash's capabilities, customer support teams can analyze support ticket data to enhance customer experiences.
Redash's versatility extends to data teams as well, as they can use it for data exploration, data validation, and performance monitoring.