Descriptive
analytics
helps
____________________
questions
about
what
____________________
.
These
tools
____________________
large
datasets
to
explain
____________________
to
stakeholders
.
By
developing
key
____________________
____________________
,
these
strategies
can
help
track
successes
or
failures
.
Metrics
such
as
return
on
____________________
are
used
in
many
industries
.
This
process
requires
the
____________________
of
relevant
data
,
____________________
of
the
data
,
data
analysis
and
data
____________________
.
This
process
provides
essential
insight
into
____________________
performance
.
Diagnostic
analytics
helps
answer
questions
about
____________________
things
happened
.
These
tools
supplement
more
basic
descriptive
analytics
.
They
take
the
findings
from
____________________
analytics
and
dig
deeper
to
find
the
____________________
or
the
cause
.
The
performance
indicators
are
further
investigated
to
discover
____________________
they
got
better
or
worse
.
Predictive
analytics
helps
answer
questions
about
what
____________________
happen
in
the
____________________
.
These
tools
use
____________________
data
to
identify
____________________
and
determine
if
they
are
likely
to
occur
again
.
Predictive
analytical
tools
provide
valuable
____________________
into
what
may
happen
in
the
future
and
its
____________________
include
a
variety
of
statistical
and
machine
learning
techniques
,
such
as
neural
networks
,
decision
trees
,
and
regression
.
Prescriptive
analytics
helps
answer
questions
about
what
should
be
done
.
By
using
____________________
from
predictive
analytics
,
____________________
-
driven
decisions
can
be
made
.
This
allows
businesses
to
make
informed
____________________
in
the
face
of
uncertainty
.
Prescriptive
analytics
techniques
rely
on
____________________
learning
strategies
that
can
find
patterns
in
large
datasets
.
By
analyzing
past
decisions
and
events
,
the
likelihood
of
different
outcomes
can
be
estimated
.
