Data analytics and its tools explained. what is data analytics and tools used for data analytics services.

1. DATA ANALYTICS
AND TOOLS
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2. WHAT IS DATA?
Data has been buzzword for ages now.
Either the data, being generated from
large scale enterprises or the data
generated from an individual, each and
every aspect of data needs to be
analyzed to benefit yourself from it.
That’s where the term “Data Analytics”
comes in
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3. ROLE OF DATA ANALYTICS
Gather Hidden Insights - Hidden insights from data are gathered and then analyzed with
respect to business requirements.
Generate Reports - Reports are generated from the data are passed on to the respective
teams to deal with further actions .
Perform Market Analysis- Market Analysis can be performed to understand the strengths
and weakness of competitors.
Improve Business Requirement- Analysis of Data allows improving Business to customer
requirements and experience.
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4. DATA ANALYTICS:TOOLS
R TOOL APACHE SPARK SAS
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POWER BI RAPIDMINER TABLEAU

5. R TOOL
R is an open-source tool
used for Statistics and
Analytics.
R is best at statistical
analysis, such as normal
distribution, cluster
classification algorithms,
and regression analysis
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6. APACHE SPARK
Apache Spark is an open-
source unified analytics
engine for large-scale
data processing
Spark provides an
interface for
programming clusters
with implicit data
parallelism and fault
tolerance.
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7. SAS
SAS (which stands for
Statistical Analysis
System) is a popular
commercial suite of
business intelligence and
data analysis tools
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8. POWER BI
Microsoft Power BI is an
interactive data
visualization software
product developed by
Microsoft with a primary
focus on business
intelligence.
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9. RAPIDMINER
RapidMiner can also be
extended using R and
Python scripts, and
numerous third-party
plugins are available
through the company's
marketplace.
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10. TABLEAU
Tableau is a powerful
analytics and data
visualization platform
that allows you to
connect all your data and
create compelling
reports.
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11. CONTACT US
+91 7349745491/92/93
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