Learn how to get your data under control in five steps.

1. Get
Your
Data
Under
Control
By
Sco'
D.
Lowe
Co-­‐Founder,
ActualTech
Media
and
Senior
IT
Execu9ve,
CampusWorks,
Inc.
October
2014
in
5
Steps

2. Introduc9on
Across
every
industry
ver9cal
and
without
regard
for
organiza9on
size,
there
is
one
fact
that
remains
true:
the
data
deluge
is
upon
us.
The
much-­‐ballyhooed
“Big
Data”
phenomenon
that
prognos9cators
have
warned
about
is
here.
Whether
or
not
you’re
a
believer
in
the
transforma9onal
power
of
data,
it’s
hard
to
ignore
the
fact
that
organiza9ons
are
simply
drowning
in
data.
Unmanaged
data,
non-­‐integrated
data,
and
bad
data
in
general
ac9vely
cost
a
company
a
lot
of
money.

3. Table
of
Contents
• Controlling
Your
Data
in
5
Steps
– Implement
a
Data
Governance
Structure
– Refine
SoSware
Acquisi9on
Processes
– Understand
the
Full
Data
Lifecycle
– Implement
Robust
Data
Management
Tools
– Ini9ate
a
Data
Cleanup
Project
• Data-­‐driven
Business
Outcomes
• Summary

4. Implement
a
Data
Governance
Structure
• The
very
first
step
that
needs
to
be
taken
is
establishing
some
kind
of
governance
structure
to
oversee
the
company’s
data
efforts.

5. Refine
SoAware
AcquisiDon
Processes
• Bear
in
mind
that
“success”
isn’t
just
about
procurement.
Success
also
includes
the
ability
to
leverage
new
tools
in
as
seamless
a
way
as
possible
and
for
years
to
come.
This
is
where
IT
now
needs
to
learn
to
step
aside.
Once
the
soSware
is
acquired,
it’s
9me
to
let
individual
business
units
do
what
they
do
best
–
drive
their
units
forward.

6. Understand
the
Full
Data
Lifecycle
• It
all
comes
down
to
a
need
to
document
the
full
lifecycle
of
data
in
the
organiza9on
and
understand
the
various
ways
that
data
is
manipulated
as
a
part
of
that
lifecycle.

7. Implement
Robust
Data
Management
Tools
• Perhaps
one
of
the
most
cri9cal
tools
in
this
effort
is
a
tool
such
as
Astera
Centerprise,
a
powerful
yet
accessible
data
transforma9on
and
integra9on
product.
With
Centerprise,
business
users
can
easily
create
their
own
comprehensive
data
flows
and
work
flows,
rebuild
business
processes,
and
achieve
data
integra9on
efforts
that
once
would
have
required
teams
of
IT
people
to
accomplish.

8. IniDate
a
Data
Cleanup
Project
• Once
data
governance,
product
acquisi9on,
and
data
tool
purchases
have
been
completed
and
once
there
is
broad
understanding
of
the
full
data
lifecycle
for
a
specific
business,
it’s
9me
to
get
started
on
righ9ng
the
data
ship.
This
involves
pung
into
mo9on
a
broad
project
intended
to
address
any
data
anomalies
that
might
plague
the
organiza9on.

9. Data-­‐-­‐driven
Business
Outcomes
• Single
version
of
the
truth
for
analyzing
corporate
data
and
keeping
it
current.
• Ability
to
improve
data-­‐driven
processes
is
enabled
by
consistent
data.
• Easier
onboarding
of
new
services
with
a
plan
and
real
processes
and
procedures
for
handling
new
and
exis9ng
data.

10. Summary
• Quality
data
is
the
lifeblood
of
the
modern
business.
As
business
end
users
become
more
comfortable
with
assuming
responsibili9es
that
would
have
once
fallen
to
IT,
it’s
cri9cal
that
businesses
consider
the
en9re
lifecycle
of
their
data
sets
and
take
steps
to
ensure
that,
organiza9on-­‐-­‐-­‐wide,
data
works
for
the
business
and
becomes
an
enabler
to
ongoing
success.

11. Want
to
learn
more?
Download
the
whitepaper
at
astera.com/resource-­‐center

12. About
the
Author
• Sco'
D.
Lowe
is
Senior
Editor
of
EnterpriseStorageGuide.com
and
HyperConverged.org.
Scoa
has
been
in
the
IT
field
for
close
to
twenty
years
and
spent
ten
of
those
years
in
filling
the
CIO
role
for
various
organiza9ons.
Scoa
is
also
a
micro-­‐-­‐-­‐analyst
for
Wikibon
and
an
Informa9onWeek
Analy9cs
contributor.
In
addi9on,
Scoa
has
also
wriaen
thousands
of
ar9cles
and
blog
pos9ngs
and
has
regularly
contributed
to
such
sites
as
TechRepublic,
Wikibon,
and
virtualiza9onadmin.com.
Because
of
his
unique
blend
of
skills
(CIO/strategic
&
Engineer/tac9cal)
Scoa
is
also
a
sought-­‐-­‐-­‐aSer
resource
for
speaking
engagements,
and
marke9ng
collateral,
including
white
papers
and
e-­‐-­‐-­‐books,
for
a
variety
of
technology
firms.