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
6.
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.
