Data_Analytics_introduction_to_Analytics
- 2. Introduction to Data Analytics : 1. Evolution of Data Analytics, 2. Data Analytics Overview, 3. Types of Data Analytics -Descriptive Analytics - Diagnostic Analytics -Predictive Analytics - Prescriptive Analytics, 4. Importance and Benefits of Data Analytics. 5. Different Applications of Analytics in Business, 6. Text Analytics and Web Analytics, 7. Skills for Business Analytics. Contents
- 4. Data Analytics : Data analytics is the process of analyzing and interpreting data to uncover insights, trends, and patterns that can inform decision-making and drive business success. scientifc process that transorms data into insight Used for fact Based, decision making Uses – reports,Graphs,optimizatic data mining, simulation. Introduction to Data Analytics :
- 5. Definition of data analytics Data analytics is the process of analyzing and interpreting data to uncover insights, trends, and patterns that can inform decision-making and drive business success. It involves using a variety of techniques and tools to collect, process, and analyze data, with the goal of extracting meaningful insights and knowledge from the data. Data analytics can be used in a variety of contexts, such as business, science, healthcare, and government. In business, data analytics can help organizations to improve operational efficiency, enhance customer engagement, and increase revenue. For example, businesses may use data analytics to analyze customer behavior, optimize marketing
- 7. 10 Ways Data Analytics Can Help You Generate More Leads Data analytics can help businesses generate more leads in several ways: Data analytics has become a powerful tool for businesses to generate leads and increase their sales opportunities.