This document provides an introduction to data analytics, including its definition, evolution, types, importance and applications. It discusses how data analytics involves analyzing and interpreting data to uncover insights, trends and patterns to inform decision making. The document outlines the process of data analytics and how it transforms data into insights through scientific methods and tools. It also lists some key benefits of data analytics for business, such as improving efficiency, enhancing customer engagement and increasing revenue.

1. Data 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

3. What is Data?

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.