In this rapidly evolving digital era, data analysis has become a very important skill. Advanced technologies such as Society 5.0 developed by Puskomedia provide convenience in accessing and processing large amounts of data. Understanding the types of data analysis is key to utilizing this information effectively. Here is an overview of the three main types of data analysis: descriptive, predictive, and prescriptive.
Descriptive Data Analysis
Descriptive data analysis focuses on describing and summarizing data. It chinese overseas asia database provides a picture of what is happening in a data set, without making predictions or recommendations. Common methods used include descriptive statistics such as mean, median, mode, and standard deviation. For example, a company might use descriptive analysis to understand monthly sales trends or the demographic characteristics of their customer base.
Predictive Data Analysis
Predictive data analysis uses statistical and machine learning techniques to identify patterns and predict future trends. This allows businesses and individuals to prepare for potential events and make informed decisions. There are various predictive analysis methods that can be used, such as regression, decision trees, and neural networks. For example, an e-commerce company can use predictive analysis to estimate product demand based on purchase history and market trends.