A dashboard for data analytics is a tool used to multi-task, organize, visualize, analyze, and track data. The overall purpose of a data analytics dashboard is to make it easier for data analysts, decision makers, and average users to understand their data, gain deeper insights, and make better data-driven decisions.
Data dashboards are designed to connect and help extract important information from a wide variety of different data sources, services, and APIs. This information is displayed in a single, unified view via visuals such as charts, figures, graphs, and tables. An organization can have a different customizable dashboard for each department and even a dashboard for each individual project, which helps provide granular monitoring of very specific KPIs.
“Smart” data analytics dashboard software uses AI and Machine Learning to save time and automate processes like data collection, discovery, preparation, replication, and reporting, which is crucial for big data sets where manual processing is impractical. Advanced interactive dashboards will provide compelling storytelling through attractive designs and real-time, interactive dynamic data visualizations that empower team members to quickly and easily reveal hidden insights and draw valuable conclusions that can help answer business questions and informa business decisions.
There are three types of data analytics dashboards: operational, strategic, and analytical.
There are many different benefits to be gained from the many different kinds of data analytics dashboards. Some of the most common benefits include: data visibility and accessibility, measuring performance, business forecasting abilities, and agile responses:
