How New Data Tools Can Expand Expertise at the Enterprise
The
increasing
amounts
of
data
generated
by
today’s
modern
enterprise
continues
to
challenge
organizations
as
they
look
to
extract
valuable
insights
from
that
data.
The
increasing
amounts
of
data
generated
by
today’s
modern
enterprise
continues
to
challenge
organizations
as
they
look
to
extract
valuable
insights
from
that
data.
The
inability
to
leverage
all
kinds
of
data
and
the
amount
of
expertise
required
from
data
scientists
to
prep
data
put
a
strain
on
many
enterprises.
IT
groups
need
a
new
approach
to
allow
for
better
solutions
and
to
get
data
analysis
tools
and
technologies
into
the
hands
of
domain
experts.
“It’s
a
very
competitive
marketplace
for
well
trained,
smart
data
scientists,
and
for
the
public
and
private
sector,
getting
access
to
those
resources
and
keeping
them
is
very
difficult,”
says
Andy
MacIsaac,
director
of
solutions
marketing,
public
sector,
at
Alteryx.
“But
many
times,
organizations
don’t
always
need
to
have
that
high-level
resource
for
every
data
issue
or
need
for
answers.
What
we
need
to
do
is
democratize
the
approach
to
data
analytics
and
give
access
to
the
domain
experts
who
can
self-serve
their
data
and
analytics
needs.”
Business
leaders
unable
to
access
these
data
tools
end
up
asking
the
data
scientists
for
answers
to
their
questions,
taking
them
away
from
their
larger,
more
mission-critical
data
projects.
This
creates
friction
as
the
two
groups
clash
over
what
should
be
a
cooperative
effort.
“You
want
your
data
scientists
to
be
working
on
bigger,
more
impactful
projects,”
says
MacIsaac.
“They
don’t
want
to
be
data
janitors,
cleaning
up
data
and
running
standard
reports.
They
need
to
be
tackling
the
big
problems,
because
that’s
what
they
were
trained
for.
By
lowering
the
barrier
to
analytics
through
new
self-service
and
low-code
data
tools,
you
are
putting
a
lot
of
capability
into
the
hands
of
a
larger
group
of
people.”
Tools
such
as
those
offered
by
Alteryx
can
be
quickly
deployed
for
an
enterprise,
as
well
as
public
agencies,
offering
new
insights
for
those
groups.
With
automation
and
data
cleanup
tools
freeing
up
time
for
data
experts,
they
can
look
for
new
answers
to
new
questions,
and
take
advantage
of
more
data
sources
–
all
without
worrying
about
the
effort
to
code
algorithms
or
figure
out
which
data
is
good
or
bad.
For
example,
a
government
agency
was
able
to
use
the
tools
to
discover
whether
sailors
on
ships
during
the
Vietnam
War
were
eligible
for
benefits
related
to
the
deployment
of
Agent
Orange,
by
determining
what
ship
they
were
aboard
on
a
given
day.
“Typically
a
business
or
agency
will
start
with
a
business
problem
or
challenge,
and
there’s
always
a
question
that
needs
to
be
figured
out,”
says
MacIsaac.
“With
these
tools,
you
don’t
have
to
be
a
data
scientist
to
get
the
answers
if
you
know
the
data
you
need,
pull
it
down
and
create
the
analysis.”
To
learn
more
about
how
Alteryx
can
help
your
organization
expand
the
use
of
its
data
analytics
tools,
click
here.
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