Descriptive Analytics Pdf Data Analysis Analytics Descriptive analytics is one of the types of business analytics also known as exploratory analytics. predictive and prescriptive are the other two types of analytics. in this article, i am going to explain descriptive analytics in depth with a real life use case. Descriptive analytics is the process of using current and historical data to identify trends and relationships. it's sometimes called the simplest form of data analysis because it describes.
Descriptive Analytics Pdf Data Analysis Analytics By watching this video, you'll gain a comprehensive understanding of descriptive analytics and its role in data driven decision making. Descriptive analytics uses statistical summaries and data visualization techniques to condense and describe historical data. it helps identify patterns, trends, and relationships within the data, clearly showing "what happened" and "what is currently happening.". Descriptive analytics is the process of using current and historical data to identify trends and relationships. it’s sometimes called the simplest form of data analysis because it describes trends and relationships but doesn’t dig deeper. Of all data analytics techniques, descriptive analytics is perhaps the most straightforward. it involves parsing (or breaking down) data and summarizing its main features and characteristics. in this way, descriptive analytics presents what has happened in the past without exploring why or how.
About Descriptive Data Analytics Technique Iot Data Analytics Ppt Slide Descriptive analytics is the process of using current and historical data to identify trends and relationships. it’s sometimes called the simplest form of data analysis because it describes trends and relationships but doesn’t dig deeper. Of all data analytics techniques, descriptive analytics is perhaps the most straightforward. it involves parsing (or breaking down) data and summarizing its main features and characteristics. in this way, descriptive analytics presents what has happened in the past without exploring why or how. It is the first step in transforming raw data into actionable insights, forming the basis for decision making. this article explores the concept of descriptive analytics, the methods used, popular tools, and practical examples to demonstrate its applications. In this article, i’ll walk you through a step by step guide to descriptive data analytics by taking you through a real world capstone project. Descriptive analytics answers the question: what has happened? it analyzes historical data and data collected in real time in order to generate insights about how past business strategies have worked. In descriptive analytics, data aggregation, and data mining techniques are used to collect and review the historical data of a business to gauge the past performance. the most common example of descriptive analytics is the reports that a user gets from google analytics tools.
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