Descriptive Analytics Pdf These examples show how useful descriptive analysis is, showing how it can be used in a variety of contexts to make data driven decisions, enhance workflows, and extract insightful information from historical data. Descriptive analytics is the practice of analyzing historical data to summarize what happened in your business. it focuses on aggregating, organizing, and presenting past performance data in ways that make trends and patterns easier to see.
Descriptive Analytics Pdf Data Analysis Analytics Descriptive analytics is an explanatory version of data analytics where a group of data is analysed, interpreted, and used to inform decisions. the data interpreted can be used to uncover hidden trends, events, and actions. Descriptive analytics focuses on summarizing historical data to understand what has happened in the past. real world examples of descriptive analytics include sales reports, website traffic analysis, and customer demographics. Descriptive analytics is the process of analyzing past data to understand what has happened in a business. for example, a company reviewing its monthly sales report to identify top selling products is using descriptive analytics. Learn what is descriptive analytics, its key benefits, popular tools, and a real world example to understand how businesses use data for better decision making.
Descriptive Analytics Pdf Analytics Data Descriptive analytics is the process of analyzing past data to understand what has happened in a business. for example, a company reviewing its monthly sales report to identify top selling products is using descriptive analytics. Learn what is descriptive analytics, its key benefits, popular tools, and a real world example to understand how businesses use data for better decision making. Descriptive analytics refers to the process of analyzing historical data to identify patterns and trends. it answers questions like “what happened?” and “how did it happen?” by using statistical techniques, organizations transform raw data into actionable insights. Descriptive analytics involves analyzing historical data to understand and summarize past events or phenomena. it focuses on providing insights into what has happened in the past, enabling organizations to gain a comprehensive understanding of their performance, trends, and patterns. Descriptive analytics is one of the foundational aspects of data analytics that transforms raw data into easily understood patterns, trends, and insights. it’s a prime example of data aggregation that uses business intelligence and data science.
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