Data analysts are crucial in today's data-driven world as they help organisations make informed decisions based on data insights. Here are some reasons why data analysts are important Data-driven decision-making: Data analysts help organisations make informed decisions by analysing large amounts of data to identify patterns, trends, and insights. This information is used to make strategic decisions that can have a significant impact on the organisation's success.

1. How to
Become
Data
analyst

2. Data analysts are
crucial in today's data-
driven world as they
help organisations make
informed decisions
based on data insights.
Here are some reasons
why data analysts are
important

3. Table of Content
1) Strategy Of Data Analytics
1) Calculating Data
2) Data analysis
3) Report Result
4) improving Process
5) Building a Data-Driven Culture
1) Conclusion

4. 1. Collecting Data
2. Data Analysis
3. Reporting Result
Improving
Processes
4. Building a Data-
Driven Culture
Strategy of Data
Analytics

5. Collecting Data
Collecting data typically involves
gathering information from
various sources, such as surveys,
experiments, observations, or
online sources. The process of
data collection can involve
several steps, including planning
the study, designing data
collection instruments, recruiting
participants, collecting the data,
and storing and analysing the
data.

6. Data Analysis
Data analysis is the process of
examining, cleaning, transforming,
and modelling data with the goal of
discovering useful information,
drawing conclusions, and
supporting decision-making. Data
analysis can be performed using a
variety of methods, tools, and
techniques, including statistical
analysis, machine learning, data
visualisation, and data mining.

7. Reporting Result
Reporting analysis
involves the examination
and interpretation of
various reports
generated by an
organisation. It is a
process of analysing
data and presenting it in
a clear and concise
manner to aid decision-

8. Improving Process
There are several ways to
improve the process of data
analysis. Here are a few tips:
● Define the problem
Clearly
● Collect high-Quality Data
● Use the Right tools
● Visualise your Data

9. Building a Data-Driven
Culture
Building a data- driven culture
involves creating an environment
where data is used to inform
decision-making and drive
business outcomes. Here are
some steps to help create a
data-driven culture

10. Conclusion
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