The
relatively
____________________
field
of
____________________
analytics
allows
users
to
?
prescribe
?
a
number
of
____________________
possible
actions
and
guide
them
towards
a
solution
.
In
a
nutshell
,
these
analytics
are
all
about
providing
advice
.
Prescriptive
analytics
attempts
to
quantify
the
effect
of
____________________
decisions
in
order
to
advise
on
possible
outcomes
before
the
decisions
are
actually
made
.
At
their
best
,
prescriptive
analytics
predicts
not
only
what
will
happen
,
but
also
why
it
will
happen
,
providing
____________________
regarding
actions
that
will
take
advantage
of
the
predictions
.
These
analytics
may
recommend
one
or
____________________
possible
courses
of
action
.
Essentially
they
predict
multiple
futures
and
allow
companies
to
assess
a
number
of
possible
outcomes
based
upon
their
actions
.
Prescriptive
analytics
use
a
combination
of
techniques
and
tools
such
as
business
rules
,
____________________
,
machine
____________________
and
computational
____________________
procedures
.
These
techniques
are
applied
against
input
from
many
different
data
sets
including
historical
and
transactional
data
,
real
-
time
data
feeds
,
and
big
data
.
Prescriptive
analytics
are
relatively
____________________
to
administer
,
and
most
companies
are
not
yet
using
them
in
their
daily
course
of
business
.
When
implemented
correctly
,
they
can
have
a
large
impact
on
how
businesses
make
decisions
,
and
on
the
company's
profitability
.
Larger
companies
are
successfully
using
prescriptive
analytics
to
____________________
production
,
scheduling
and
inventory
in
the
supply
chain
to
make
sure
that
are
delivering
the
right
products
at
the
____________________
time
and
optimizing
the
customer
experience
.
