what Is data analytics

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What Is Data Analytics ?
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Table Of Content

1. What Is Data Analytics ?
2. Why Is Data Analytics Important?
3. How Does Data Analytics Work?
4. Types of Data Analytics

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What Is Data Analytics?
The study of analysing raw data to draw
inferences about such information is known as
data analytics. A business can increase
productivity, optimise profit, or make more
strategically sound decisions using data
analytics.
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Why Is Data Analytics Important?
Data analytics is important since it helps in the
performance optimisation of businesses. Companies
can cut costs by locating better, effective
methods to do business by incorporating them
into their business technique. Additionally, a
corporation can use data analytics to improve
business decisions and track consumer tastes and
patterns to develop unknown products and
services.
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How Does Data Analytics Work?
Data analytics identifies patterns, trends, and
correlations in massive amounts of unstructured
data to support data-driven decision-making.
With better modern technologies, these
procedures apply well- known statistical
analysis methods, such as clustering and
regression, to larger datasets.
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Types of Data Analytics

1. Descriptive Analytics
2. Diagnostic Analytics
3. Predictive Analytics
4. Prescriptive Analytics

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