The Analytics Spectrum The Analytics Spectrum is a framework that categorizes the different stages of business analytics activities. It is often used as...
The Analytics Spectrum
The Analytics Spectrum is a framework that categorizes the different stages of business analytics activities. It is often used as a guide for understanding the progression of an analytics project and the various tasks that need to be completed at each stage.
The four main levels of the Analytics Spectrum are:
Descriptive analysis
Predictive analysis
Prescriptive analysis
Cognitive analysis
Descriptive analysis focuses on describing the data and identifying patterns and trends. For example, if you were analyzing sales data, you could create a chart that shows the total sales for each month.
Predictive analysis focuses on using historical data to make predictions about the future. For example, if you were analyzing weather data, you could use historical data to predict the average temperature for the next few days.
Prescriptive analysis focuses on using data to make recommendations and decisions. For example, if you were analyzing sales data, you could use data to recommend products that customers are likely to buy.
Cognitive analysis involves using advanced cognitive techniques to understand and interpret data. For example, if you were analyzing customer feedback, you could use sentiment analysis to identify the most common themes and opinions.
The Analytics Spectrum is a valuable tool for understanding the different stages of business analytics and the various tasks that need to be completed at each stage. It can help businesses to plan and execute analytics projects more effectively