Data analytics is important because it helps businesses optimize their performances. Implementing it into the business model means companies can help reduce costs by identifying more efficient ways of doing business and by storing large amounts of data. A company can also use data analytics to make better business decisions and help analyze customer trends and satisfaction, which can lead to new—and better— products and services

1. PowerofData

2. Agenda
Gathering Data
Data Cleaning And Insights
Data Analytics

3. According to Nokia's annual Mobile
Broadband Index (MBiT) report. average
data consumption per user has risen
sharply since 2018, reaching 19.5GB per
user per month in 2022, total mobile
data consumed in India is expected to
more than double by 2024.
DataConsumptionInIndia

4. DataGathering
Data collection is the process of gathering data for use in business decision-
making, strategic planning, research and other purposes. It's a crucial part of
data analytics applications and research projects: Effective data collection
provides the information that's needed to answer questions, analyze business
performance or other outcomes, and predict future trends, actions and
scenarios.
In businesses, data collection
happens on multiple levels. IT
systems regularly collect data
on customers, employees, sales
and other aspects of business
operations when transactions
are processed and data is
entered. Companies also
conduct surveys and track social
media to get feedback from
customers.

5. DataCleaning
AndInsights.
• We gather data from different sources.
• Handle missing data.
• Fix structural errors.
• Remove duplicate or irrelevant observations.

6. Seethiscomplexdata

7. DataAfter
Processing
Just now You have seen a complex
dataset but do not worry,
Our data experts will provide you a
structured report for better
understanding the values as well as
future decisions.

8. Data analytics is the science of analyzing raw data to
make conclusions about that information.
The techniques and processes of data analytics have
been automated into mechanical processes and
algorithms that work over raw data for human
consumption.
Data analytics relies on a variety of software tools
ranging from spreadsheets, data visualization, and
reporting tools, data mining programs, or open-source
languages for the greatest data manipulation.
Data analytics help a business optimize its performance,
perform more efficiently, maximize profit, or make more
strategically-guided decisions.
DataAnalytics
P o w e r O f D a t a
Data analytics is important because it helps businesses
optimize their performances. Implementing it into the
business model means companies can help reduce
costs by identifying more efficient ways of doing
business and by storing large amounts of data. A
company can also use data analytics to make better
business decisions and help analyze customer trends
and satisfaction, which can lead to new—and better—
products and services.