Descriptive analytics is a type of business analytics that provides an understanding of historical data and their insights. It involves the use of data aggregation and data mining techniques to provide insight into the past and answer: "What has happened?"

Here are the steps to understand it:

1. Data Collection: The first step in descriptive analytics is data collection. This involves gathering large amounts of data from various sources such as transaction data, sales data, customer data, etc.

2. Data Aggregation: The collected data is then aggregated. This means that the data is compiled, combined and presented in a summarized format.

3. Data Mining: The next step is data mining. This involves sorting through large data sets to identify patterns, trends, and relationships.

4. Generate Reports: The final step is to generate reports and dashboards to present the data in a way that is easy to understand. These reports can include graphs, charts, and tables.

Descriptive analytics is the most commonly used form of analytics. It helps organizations understand their past performance and make informed decisions for the future.

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Descriptive analytics is a type of business analytics that provides an understanding of historical data and their insights. It involves the use of data aggregation and data mining techniques to provide insight into the past and answer: "What has happened?"

Here are the steps to understand it:

1. Data Collection: The first step in descriptive analytics is data collection. This involves gathering large amounts of data from various sources such as transaction data, sales data, customer data, etc.

2. Data Aggregation: The collected data is then aggregated. This means that the data is compiled, combined and presented in a summarized format.

3. Data Mining: The next step is data mining. This involves sorting through large data sets to identify patterns, trends, and relationships.

4. Generate Reports: The final step is to generate reports and dashboards to present the data in a way that is easy to understand. These reports can include graphs, charts, and tables.

Descriptive analytics is the most commonly used form of analytics. It helps organizations understand their past performance and make informed decisions for the future.

Knowee AI · Accepted Answer

Descriptive analytics is a type of business analytics that provides an understanding of historical data and their insights. It involves the use of data aggregation and data mining techniques to provide insight into the past and answer: "What has happened?"

Here are the steps to understand it:

1. Data Collection: The first step in descriptive analytics is data collection. This involves gathering large amounts of data from various sources such as transaction data, sales data, customer data, etc.

2. Data Aggregation: The collected data is then aggregated. This means that the data is compiled, combined and presented in a summarized format.

3. Data Mining: The next step is data mining. This involves sorting through large data sets to identify patterns, trends, and relationships.

4. Generate Reports: The final step is to generate reports and dashboards to present the data in a way that is easy to understand. These reports can include graphs, charts, and tables.

Descriptive analytics is the most commonly used form of analytics. It helps organizations understand their past performance and make informed decisions for the future.

What is descriptive analytics?

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