e
Given
the
importance
of
data
analysis,
discuss
three
possible
data
analysis
techniques
you
can
use.
What
does
each
technique
bring
to
the
analysis
of
data?
What
is
data
Analysis:
This
refers
to
the
act
of
systematically
applying
statistical
and/or
logical
techniques
to
describe
and
illustrate,
condense
and
recap,
and
evaluate
data.
The
Descriptive
Analysis,
Diagnostic
Analysis
and
Predictive
Analysis
are
the
three
techniques
used
to
perform
data
analysis.
Importance
of
Data
Analysis:
The
conduct
of
data
analysis
is
useful
because
it
helps
to
build
and
establishing
facts
through
research
and
which
in
turn
support
effective
informed
decision
in
business.
e
Provide
a
discussion
on
the
three
different
techniques
selected,
and include
both
the
advantages
and
disadvantages
of
each.
a.
Descriptive
Analysis:
This
involves
sorting
of
data
that
helps
in
in
describing,
demonstrating,
and
summarizing
data
points
that
may
satisfying
any
given
condition
say
in
research
etc
b.
Diagnostic
Analysis:
This
refers
to
examining
data
to
understand
the
root
causes
of
events,
behaviors,
and
outcomes,
this
is
necessary
and
helpful
in
explaining
why
certain
events
occur.
c.
Predictive
Analysis:
As
the
name
suggests,
this
refers
to
the
process
of
using
data
to
forecast
future
outcomes.
It
makes
use
of
machine
learning,
artificial
intelligence,
and
statistical
models
to
find
patterns
that
might
predict
future
behavior.
Generally,
we
can
say
that
data
analytics
is
very
crucial
as
it
helps
in
finding
and
identifying
solutions
to
problems
instead
of
taking
actions
that
are
merely
of
no
bases.
References:
1.
Jpdull.
(2022,
December
13).
How
to
implement
5
whys
root
cause
analysis
in
manufacturing.
dataPARC.
https://www.dataparc.com/blog/how-to-implement-
5-whys-root-cause-analysis-process-manufacturing/
2.
Why
is
data
analytics
important.
(n.d.).
CompTIA.org.
https://www.comptia.org/content/guides/why-is-data-analytics-important
