Dashboards are a powerful way to visualize data. They have become a popular business tool over the years. Analyzing data is easier than ever with the help of an Excel Dashboard.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. 

Types of Data Analytics Dashboards :

There are three types of data analytics dashboards: operational, strategic, and analytical. 

• Operational: Operational analytics dashboards focus on the progress of work and show the current state of operations. Operational dashboards are real-time, are often used to understand where issues are, and are less often used for digging deeper into data.
• Strategic: Strategic analytics dashboards display KPIs and clear, at-a-glance, digestible data visualizations. The focus is on showing simple trends and progress, obtaining immediate answers, and helping users monitor and understand if KPIs are on track.
• Analytical: Analytical dashboards focus on flexibility and allowing the user to explore data points in as many ways as possible, through filters and comparisons, to reveal hidden insights. Common features include drill-downs, predictive models, and what-if parameters.

Data Analytics Dashboard Benefits :

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:

• Visibility and Accessibility: One of the primary benefits of a dashboard is its ability to display all of the most relevant, important data in a way that is intuitive, digestible, and useful for the average user. Dashboards should be a place where users can easily access key metrics and insights in a unified space so that anyone in the organization can derive value from it.
• Measuring Performance: Dashboards will help measure and keep track of the performance of different teams, departments, products, and services. When analyzing the performance of an organization as a whole, it is crucial to set KPIs and have access to specific performance data in order to be able to hone in on processes that are creating inefficiencies and develop new strategies.
• Agility: Dashboards help users detect changes in data quickly, in turn empowering users to react quickly. Real-time updates enable users to immediately correct course in the moment, or even get a jump on forthcoming trends.
• Forecasting: AI and machine learning algorithms take historical data and current, real-time data in order to identify trends and anomalies, and forecast potential issues before they become problems. Forecasting can help direct things like demand planning, financial operations, future production, risk reduction, and digital marketing operations.