Designed to address more mature programs, this tutorial covers the issues and approaches to sustaining Data Governance and value creation over time, amongst a changing business and personnel environment.
Part of the reason many companies launch a Data Governance program again and again is that over time, it is challenging to maintain the enthusiasm and excitement that accompanies a newly initiated program.
Learn about:
• Typical obstacles to sustainable Data Governance
• Re-energizing your program after a key player (or two) leave and other personnel challenges
• Staying relevant to the company as the business evolves over time
• Understanding the role of metrics and why they are critical
• Leveraging Communication and Stakeholder Management practices to maintain commitment
• Embedding Data Governance into the operations of the company
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
Sustaining Data Governance and Adding Value for the Long Term
1. The First Step in Information Management
www.firstsanfranciscopartners.com
Sustainable
Data
Governance:
Adding
Value
for
the
Long
Term
Kelle
O’Neal
kelle@firstsanfranciscopartners.com
415-‐425-‐9661
@1stsanfrancisco
2. Why
We’re
Here
pg 2Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Purpose:
Understand
criQcal
success
factors
for
sustainability
of
a
Data
Governance
Discipline
Outcome:
§ Understanding
Data
Governance
FoundaQon
§ Understanding
how
to
make
governance
a
core
competency
§ PracQcal
knowledge
that
can
be
immediately
implemented
3. Agenda
§ Level
SeTng
-‐
FSFP’s
perspecQve
on
Data
Governance
§ Obstacles
&
Challenges
to
Sustainability
§ CreaQng
Sustainable
Data
Governance
− OrganizaQon
− Alignment
− Metrics
&
Measurements
− CommunicaQon
− Embedding
Governance
§ Ensuring
success
pg 3Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
10. The
landscape
is
changing
…
pg 10Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
pg 10Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
11. Obstacles
§ CompeQng
prioriQes
and
lack
of
resources
§ Data
Ownership
and
other
territorial
issues
§ Lack
of
cross-‐business
unit
coordinaQon
§ Lack
of
data
governance
understanding
§ Resistance
to
change
or
transformaQon
§ Lack
of
execuQve
sponsorship
and
buy-‐in
§ Resistance
to
accountability
§ Lack
of
business
jusQficaQon
§ Inexperience
with
cross-‐funcQonal
iniQaQves
§ Change
of
personnel
pg 11Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
12. Obstacles
pg 12Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
13. Why
is
Data
Governance
Important?
Internal
pressures:
§ Desire
to
understand
customer
at
any
Qme
from
any
channel
§ Data
Quality
issues
are
persistent
§ Balance
of
old
mainframe
systems
with
new
technologies
§ Movement
to
the
cloud
and
losing
control
of
data
§ Data
Volumes
are
increasing
§ Mobile
apps
enabling
data
to
be
created
and
accessed
anywhere
§ Project
oriented
approach
to
addressing
issues/
opportuniQes
External
pressures:
§ Greater
amounts
of
new
regulaQons
§ Increasing
Customer
Demands
–
my
informaQon
anywhere
at
any
Qme
§ Technology
and
market
changes
outpacing
ability
to
respond
pg 13Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Ensures
the
right
people
are
involved
in
determining
standards,
usage
and
integra4on
of
data
across
projects,
subject
areas
and
lines
of
business
15. Don’t
base
your
program
on
specific
individuals
pg 15Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
16. Process
• How
are
decisions
made?
• Who
makes
them?
• How
are
Commihee’s
used?
Culture
• Centralized
• Decentralized
• Hybrid
OperaQng
Model
• Data
Governance
Owner
• SME’s
• Leadership
People
pg 16Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
17. OperaQng
Model
§ Outlines
how
Data
Governance
will
operate
§ Forms
basis
for
the
Data
Governance
organizaQonal
structure
–
but
isn’t
an
org
chart
§ Ensures
proper
oversight,
escalaQon
and
decision
making
§ Ensures
the
right
people
are
involved
in
determining
standards,
usage
and
integraQon
of
data
across
projects,
subject
areas
and
lines
of
business
§ Creates
the
infrastructure
for
accountability
and
ownership
pg 17Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Wikipedia:
An
OperaQng
Model
describes
the
necessary
level
of
business
process
integraQon
and
data
standardizaQon
in
the
business
and
among
trading
partners
and
guides
the
underlying
Business
and
Technical
Architecture
to
effecQvely
and
efficiently
realize
its
Business
Model.
The
process
of
OperaQng
Model
design
is
also
part
of
business
strategy.
18. Types
of
OperaQng
Models
§ Centralized
− Similar
to
a
top
down
project
model
§ Decentralized
− Flat
structure,
more
virtual/grassroots
in
nature
§ Hybrid
/
Federated
pg 18Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
19. Pros:
• Formal
Data
Governance
execuQve
posiQon
• Data
Governance
Steering
Commihee
reports
directly
to
execuQve
• Data
Czar/Lead
–
one
person
at
the
top;
easier
decision
making
• One
place
to
stop
and
shop
• Easier
to
manage
by
data
type
Cons:
• Large
OrganizaQonal
Impact
• New
roles
will
most
likely
require
Human
Resources
approval
• Formal
separaQon
of
business
and
technical
architectural
roles
Bus
/
LOBs
pg 19
OperaQng
Model
-‐
Centralized
Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
DG
Execu4ve
Sponsor
DG
Steering
Commi<ee
Center
of
Excellence
(COE)
Data
Governance
Lead
Technical
Support
Data
Architecture
Group
Technical Data
Analysis
Group
Business
Support
Business
Analysis
Group
Data
Management
Group
20. LOB/BU
Data
Governance
Steering
Commi<ee
LOB/BU
Data
Governance
Working
Group
pg 20
OperaQng
Model
-‐
Decentralized
Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Data Stewards
Application
Architects
Business
Analysts
Data Analysts
Pros:
• RelaQvely
flat
organizaQon
•
Informal
Data
Governance
bodies
•
RelaQvely
quick
to
establish
and
implement
Cons:
• Consensus
discussions
tend
to
take
longer
than
centralized
edicts
•
Many
parQcipants
compromise
governance
bodies
•
May
be
difficult
to
sustain
over
Qme
•
Provides
least
value
•
Difficult
coordinaQon
•
Business
as
usual
•
Issues
around
co-‐owners
of
data
and
accountability
21. pg 21
OperaQng
Model
-‐
Hybrid
Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Pros:
• Centralized
structure
for
establishing
appropriate
direcQon
and
tone
at
the
top
• Formal
Data
Governance
Lead
role
serving
as
a
single
point
of
contact
and
accountability
• Data
Governance
Lead
posiQon
is
a
full
Qme,
dedicated
role
–
DG
gets
the
ahenQon
it
deserves
• Working
groups
with
broad
membership
for
facilitaQng
collaboraQon
and
consensus
building
• PotenQally
an
easier
model
to
implement
iniQally
and
sustain
over
Qme
• Pushes
down
decision
making
• Ability
to
focus
on
specific
data
enQQes
• Issues
resoluQon
without
pulling
in
the
whole
team
Cons:
• Data
Governance
Lead
posiQon
is
a
full
Qme,
dedicated
role
• Working
groups
dynamics
may
require
prioriQzaQon
of
conflicQng
business
requirements
• Too
many
layers
Data
Governance
Steering
Commihee
Data
Governance
Office
Data
Governance
Working
Group
Business
Stakeholders
IT
Enablement
Data Governance Organization
22. OperaQng
Model
-‐
Federated
pg 22Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Pros:
• Centralized
Enterprise
strategy
with
decentralized
execuQon
and
implementaQon
• Enterprise
Data
Governance
Lead
role
serving
as
a
single
point
of
contact
and
accountability
• “Federated”
Data
Governance
pracQces
per
Line
of
Business
(LOB)
to
empower
divisions
with
differing
requirements
• PotenQally
an
easier
model
to
implement
iniQally
and
sustain
over
Qme
• Pushes
down
decision
making
• Ability
to
focus
on
specific
data
enQQes,
divisional
challenges
or
regional
prioriQes
• Issues
resoluQon
without
pulling
in
the
whole
team
Cons:
• Too
many
layers
• Autonomy
at
the
LOB
level
can
be
challenging
to
coordinate
• Difficult
to
find
balance
between
LOB
prioriQes
and
Enterprise
prioriQes
Enterprise
Data
Governance
Steering
Commihee
Enterprise
Data
Governance
Office
Data
Governance
Groups
Data
Governance
OrganizaQon
Business
Stakeholders
IT
Enablement
Divisional
DG
Office
Business
Stakeholders
IT
Enablement
Divisional
DG
Office
Business
Stakeholders
IT
Enablement
Business
Stakeholders
IT
Enablement
Divisional
DG
Office
23. OperaQng
Model
Roles
and
ResponsibiliQes
§ Data
Governance
Steering
Commihee
− Provides
overall
strategic
vision
− Approves
funding,
budget
and
resource
allocaQon
for
strategic
data
projects
− Establishes
annual
discreQonary
spend
allocaQon
for
data
projects
− Adjudicates
intractable
issues
that
are
escalated
− Ensures
strategic
alignment
with
corporate
objecQves
and
other
business
unit
iniQaQves
§ Data
Governance
Office
− Chairs
the
Data
Governance
Steering
Commihee
and
Data
Governance
Working
Group
− Acts
as
the
glue
between
the
Data
Governance
Steering
Group
and
the
Working
Commihee
− Defines
the
standards,
metrics
and
processes
for
data
quality
checks,
invesQgaQons,
and
resoluQon
− Advises
business
and
technical
resources
on
data
standards
and
ensures
technical
designs
adhere
to
data
architectural
best
pracQces
to
ensure
data
quality
− Adjudicates
where
necessary,
creates
training
plans,
communicaQon
plans
etc
§ Data
Governance
Working
Group
− Governing
body
comprised
of
data
owners
across
Business
and
IT
funcQons
that
own
data
definiQons
and
provide
guidance
&
enforcement
to
drive
change
in
use
and
maintenance
of
data
by
the
business
− Validates
data
quality
rules
and
prioriQze
data
quality
issue
resoluQon
across
the
funcQonal
areas
− Trains,
educates,
and
creates
awareness
for
members
in
their
respecQve
funcQonal
areas
− Implements
data
business
processes
and
are
accountable
to
decisions
that
are
made
pg 23Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
24. Typical
DG
Office
Deliverables
§ Some
Typical
Deliverables:
§ Documented
DG
Strategy,
Vision,
Mission,
ObjecQves
§ Documented
DG
Guiding
Principles
§ Documented
roles
&
responsibiliQes
of
the
various
members
§ Up
to
date
OperaQng
Model
§ RACI
matrices
§ Templates
for
Policies
and
Processes
§ Templates
for
capturing
metrics
and
measurement
requirements
§ Templates
for
steering
commihee
meeQngs
§ Training
Plans
§ CommunicaQon
Plans
§ Template
for
regular
DG
communicaQon
§ Templates
for
logging
issues
needing
escalaQon
and
eventual
resoluQon
§ Templates
for
new
DG
service
requests
§ Checklists
for
new
projects
to
ensure
adherence
to
DG
standards
pg 24Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
25. Typical
Roles
§ Business
Steward
§ Data
Owner
§ Data
Steward
§ Data
Quality
Analyst
§ Business
Analyst
§ Data
Architect
§ Technical
Leads
(MDM,
Metadata,
Reference
Data,
App)
pg 25Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
26. Sample
Data
Governance
OperaQng
Model
pg 26Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Direc4on
TBD
Execu4ve
Sponsor
Business
and
IT
Business
Steward
Leads
Service
Order
Management
Finance
FP&A
Sales
Market
Strategy
Analy4cs
Data
Governance
Steering
Commi<ee
Finance
(CFO)
InternaQonal
(President)
Global
Services
(COO)
IT
(CIO)
MarkeQng
(CMO)
Data
Governance
Office
Data
Governance
Leads
Business
and
IT
Data
Governance
Coordinator
Management
Provides
budget
and
resource
approvals.
Forum
for
issue
escalaQon
Craps
the
enterprise
data
strategy,
including
polices,
processes
and
standards
to
ensure
that
data
is
managed
as
an
asset
Execu4ve
Level
Management
Level
Stewards
data
within
their
BU
to
ensure
that
the
enterprise
policies
are
applied
Tac4cal
Level
Strategic
Level
Provides
overall
strategic
direcQon,
budget
and
resource
approvals
forum
for
issue
escalaQon
Execu4on
Data
Management
IT
Support
Group
Data
Quality
Lead
Metadata
Lead
Data
Architect
BI
Delivery
Opera4ons
External
Repor4ng
DGWG
Enterprise
Architect
BA
Data
Analyst
IT
Security
Privacy
Legal
Data
Stewards
Risk
Centralized
Data
Steward
Pool
Accoun4ng
27. Data
Governance
Leadership
Team
Sample
MulQ-‐Domain
OperaQng
Model
pg 27Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Program
Oversight
&
DirecQon
ExecuQve
Sponsor
Program
Management
DG
Working
Group
Data
Governance
Program
Management
Team
DG
Program
Manager
DG
Coordinator
Program
ExecuQon
IT
Manager
Data Domain Owners
Business
Data
Leads
Data
AcquisiQon
Data
Stewardship
IT
Enablement
Supply
Chain
InternaQonal
Sales
HR
Finance
IT
MarkeQng
Customer
Product
Employee
Vendor
Supplier
DG
Data
Quality
Manager
28. Direc4on
TBD
Enterprise
Data
Sub-‐Commi<ee
Business
Data
Stewards
Data
Governance
Steering
Commi<ee
Business
Unit
Officers
Data
Owners
IT
Partner(s)
Data
Governance
Office
(DGO)
Management
Program
Oversight.
Allocates
budget
&
resource.
Empower
Business
Data
Stewards.
Forum
for
issue
escalaQon.
Craps
the
Enterprise
Data
Strategy,
processes
and
standards
to
ensure
that
data
is
managed
as
an
asset.
Execu4ve
Level
Management
Level
Stewards
data
within
their
BU
to
ensure
that
the
enterprise
policies,
standards
&
processes
are
applied.
Tac4cal
Level
Strategic
Level
Provides
overall
strategic
direcQon,
budget
&
resource
approvals.
Forum
for
issue
escalaQon.
Approval
of
data
domains
under
governance
control.
Execu4on
Technical
Data
Stewards
Local
Data
Governance
Working
Groups
Chair:
Enterprise
Data
Officer
Chair:
Data
Governance
Office
Lead
IT
Partner(s)
Sr.
Execu4ves
Business
Units
Sample
Enterprise
OperaQng
Model
Business
&
Technical
Data
SMEs
29. Scalability
at
the
Data
Domain
Security,
Balance,
PosiQon
&
TransacQons
Accountable
ExecuQve
Company/Account
Accountable
ExecuQve
Enterprise
Data
Sub-‐Commihee
Member
Security,
Balance,
PosiQon
&
TransacQons
Business
Data
Owner
Company
Business
Data
Owner
Security
Business
Data
Steward
Balance,
PosiQon
&
TransacQon
Business
Data
Steward
Company
Business
Data
Steward
Account
Business
Data
Steward
Security
DG
Working
Group
BP&T
DG
Working
Group
Company
DG
Working
Group
Account
DG
Working
Group
Layers
scale:
§ OrganizaQon
§ Maturity
§ Complexity
of
Domain
Leadership
can
be
responsible
for
mulQple
domains
Data
Stewardship
=
focused
Account
Business
Data
Owner
Members
of
DG
Steering
Commi<ee
Members
of
Business
Data
Steward
Prac4ce
Group
Members
of
Enterprise
Data
Sub-‐Commi<ee
Copyright
(c)
2015
-‐
First
San
Francisco
Partners
www.firstsanfranciscopartners.com
Proprietary
and
ConfidenQal
31. Keys
to
a
Successful
DG
OrganizaQon
pg 31Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
§ Governance
team
must
contain
members
from
mulQple
lines
of
business
§ Ensures
cross
funcQonal
buy-‐in
and
ownership
§ Key
lines
of
business
must
be
represented
§ Team
members
must
represent
both
business
and
IT
§ IT
needs
to
be
able
to
implement
per
the
governance
policies
and
the
business
needs
to
be
aware
of
IT
limitaQons…
§ Team
needs
to
meet
on
a
regular
basis
§ Business
is
constantly
changing
§ Discuss
new
and
emerging
programs
§ Current
IT
acQviQes
and
their
effect
on
the
data
§ Review
policies
and
study
measurement
output
§ Agreed
upon
fundamentals
that
serve
as
the
Guiding
Principles
§ If
this
doesn’t
exist,
the
first
mandate
is
to
create
this
§ Standards
are
mechanisms
for
Qe-‐breaking
§ Clear
lines
of
communicaQon
§ Regular
interacQon
with
execuQve
management
§ Ensure
communicaQon
methods
to
enforce
policies
at
the
steward
and
stakeholder
level
§ Invite
stewards,
project
managers,
stakeholders
etc
to
provide
status
updates
on
criQcal
iniQaQves
that
affect
the
data
§ Ensure
the
Opera4ng
Model
fits
the
culture
of
the
company
33. pg 33Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
34. Random
House
DicQonary:
a
state
of
agreement
or
cooperaQon
among
persons,
groups,
naQons,
etc.,
with
a
common
cause
or
viewpoint.
Wikipedia:
Alignment
is
the
adjustment
of
an
object
in
relaQon
with
other
objects,
or
a
staQc
orientaQon
of
some
object
or
set
of
objects
in
relaQon
to
others.
Understanding
a
process
from
the
perspec4ve
of
others
Working
individually
towards
a
common
goal
DefiniQon
of
Alignment
pg 34Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
35. Impact
on
Governance
Programs
Sources
of
mis-‐alignment
§ Lack
of
understanding
− Of
how
an
individual’s
role
fits
into
Corporate
ObjecQves
− Of
other
jobs,
roles,
experiences,
objecQves
§ ConflicQng/
compeQng
objecQves
§ PoliQcs
§ CommunicaQon
styles
§ Personality
conflicts
Importance
of
Alignment
§ Creates
a
conQnual
“buy-‐in”
process
with
all
Stakeholders
§ Helps
organizaQons
“think
globally
and
act
locally”
§ OpQmizes
resources
to
manage
costs
§ Work
towards
a
common
goal
§ Minimizes
risk
pg 35Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
36. Alignment
Process
• Why
is
this
important?
• Why
should
we
care?
Value
• Who
cares?
• Why
should
they
care?
Stakeholders
• How
does
the
value
benefit
the
stakeholders?
Linkage
pg 36Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
37. IdenQfy
and
Align
Values
pg 37Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Value
of
DG
to
Business
Value
of
DG
to
IT
38. IdenQfy
Stakeholders
§ Who
are
the
Stakeholders?
§ IT
§ OperaQons
§ Compliance
§ Line
of
Business
§ What
are
their
drivers?
§ What
are
their
key
goals?
§ What
are
their
concerns?
§ What
are
they
trying
to
avoid?
§ What
are
their
prioriQes?
§ Which
goals
are
criQcal?
§ What
happens
if
those
goals
aren’t
achieved?
pg 38Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
39. pg 39Proprietary & Confidential
Stakeholder
Map
pg 39Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Value
of
DG
to
Business
Value
of
DG
to
IT
40. Linkage
is
the
tacQcal
process
of
mapping
your
delivery
to
the
issues
important
to
the
stakeholder.
• Per
Stakeholder,
idenQfy
what
is
important
to
them
and
why.
§ What
happens
if
they
don’t
achieve
their
goal?
• List
elements
of
DG
soluQon
• Choose
Top
3
• Choose
up
to
3
elements
of
the
DG
soluQon
and
arQculate
how
those
deliverables
can
help
that
person
achieve
their
goals
§ ConQnually
ask
yourself,
So
What?
Linkage
delivers
Alignment
Create
Linkage
pg 40Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
41. PotenQal
Deliverables
§ Consistency
of
customer/product/employee
data
§ Improve
data
quality
§ Improve
data
consumpQon
and
appropriate
usage
§ Create
and
understand
data
lineage
§ Create
a
data
platorm
to
support
a
single
face
to
the
Customer
§ Facilitate
the
concept
of
“Single
Sourcing”
of
data
to
the
Data
Warehouse
and
Business
ApplicaQons
§ Create
and
implement
common
enterprise
systems/tools
and
processes
for
selected
data
pg 41Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
42. DG
Program
Sales/MarkeQng
Improve
Understanding
of
Customers
Improve
SegmentaQon
Understand
Risk
IT
Improved
ProducQvity
ProacQvely
support
business
Lower
TCO
Improved
Data
Quality
Single
Repository
of
Customer
Data
Create
Data
Lineage
ArQculate
Linkage
pg 42Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
The
Single
Repository
of
Customer
data
will
improve
my
understanding
of
customers
by
providing
me
a
trusted
source
of
Qmely,
accurate
and
perQnent
data
from
which
to
execute
analyQcs,
segmentaQon
and
risk
assessment.
CreaQng
and
understanding
Data
Lineage
will
improve
IT
producQvity
by
reducing
the
Qme
spent
searching
for
data,
ensure
the
appropriate
data
is
used
and
validaQng
the
data.
Data
Lineage
that
is
created
and
understood
by
both
IT
and
business
will
facilitate
a
common
language
and
enable
IT
to
beher
support
the
business
growth
and
expansion.
43. Linkage
creates
Alignment
pg 43Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
45. Why
are
Metrics
Important?
Alignment
Rele-‐
vance
Value
pg 45Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
46. Aligning
Benefit
to
Value
pg 46Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Benefits
of
Data
Governance
• Data
lineage
and
auditability
• Improved
data
transparency
and
quality
• Repeatable
processes
and
reusable
arQfacts
• Consistent
definiQons
• Appropriate
use
of
informaQon
• CollaboraQon
among
teams,
business
units,
etc..
• Accountability
for
informaQon
use
• Quality
of
all
data
types
• Easier
sharing
of
informaQon
• Visibility
into
the
enterprise
via
data
• InformaQon
security
Content
property
of
IMCue
and
FSFP,
Copyright
2013
ReproducQon
prohibited
47. Impact
Determines
Success
pg 47Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Issues
• Report
Quality
and
Accuracy
• Low
ProducQvity
• Regulatory
Compliance
/
Audit
Response
Goals
• Improve
data’s
usability
• Improve
efficiency
and
producQvity
• Reduce
compliance
/
audit
cost
Metrics/KPI’s
• Data
Quality
• Data
remediaQon
Qme
• Effort
to
comply
Impact
• Improve
client
relaQonships
• Address
new
markets
• Improve
producQvity
• Improve
analysis
&
decision
making
Content
property
of
IMCue
and
FSFP,
Copyright
2013
ReproducQon
prohibited
48. DefiniQon
§ Metric
− A
metric
is
any
standard
of
measurement
§ Number
of
business
requests
logged
§ Number
of
data
owners
idenQfied
§ Percentage
business
requests
resolved
within
agreed
SLA,
etc.
§ Key
Performance
Indicator
(KPI)
− A
Key
Performance
Indicator
(KPI)
is
a
quanQfiable
metric
that
the
DG
Program
has
chosen
that
will
give
an
indicaQon
of
DG
program
performance.
− A
KPI
can
be
used
as
a
driver
for
improvement
and
reflects
the
criQcal
success
factors
for
the
DG
Program
§ A
metric
is
not
necessarily
a
KPI
pg 48Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
49. Metrics/KPIs
examples
pg 49Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
People
§ #
of
DGWG
decisions
backed
up
by
the
steering
commihee
§ #
of
approved
projects
from
the
DGWG
§ #
of
issues
escalated
to
DGP
and
resolved
§ #
of
data
owners
idenQfied
§ #
of
data
managers
idenQfied
§ DG
adop4on
rate
by
company
personnel
(Survey)
Process
§ #
of
data
consolidated
processes
§ #
of
approved
and
implemented
standards,
policies,
and
processes
§ #
of
consistent
data
definiQons
§ Existence
of
and
adherence
to
a
business
request
escalaQon
process
to
manage
disputes
regarding
data
§ Integra4on
into
the
project
lifecycle
process
to
ensure
DG
oversight
of
key
ini4a4ves
Technology
§ #
of
consolidated
data
sources
consolidated
§ #
of
data
targets
using
mastered
data
§ Address
accuracy
for
mailing/shipping
§ Data
integrity
across
systems
§ Records/data
aged
past
target
§ Presence and usage of a unique identifier(s)
51. Process
to
Establish
Metrics
pg 51
Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Issues
• What
are
the
issues
in
your
group?
• What
do
you
mean
by
that?
• Why
is
it
important?
• What
are
your
objecQves?
Goals
• What
is
the
change
you
would
like
to
see?
What
acQon?
• How
will
that
change
impact
you?
• What
is
the
impact
if
those
objecQves
aren’t
met?
Metrics/KPI’s
• What
processes
are
involved
in
that
change?
• How
is
informaQon
used
in
that
process?
• What
informaQon
is
used?
What
data?
• What
data
improvements
are
needed?
Impact
• PosiQve
change
created
by
addressing
issues
• Benefit
of
improving
data
to
impact
objecQve
52. GeTng
to
Data
Change
Metrics
Issues/
Objec4ves
Goals
Informa4on
Data
Data
Change
Addi4onal
Ac4on
Report
Quality
and
Accuracy
Improve
Data
Understanding
Accounts
Client
InformaQon
Reduce
duplicaQon
of
client
data
Improve
Data
Transparency
Increase
completeness
of
record
Reduce
Manual
RemediaQon
Track
data
lineage
Ensure
thoroughness
of
data
sources
Products
owned
Increase
Completeness
of
record
Ensure
thoroughness
of
data
sources
Households
RelaQonship
Groups
pg 52
Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
53. Sample
Data
Metrics
Data
Change
Measurement
Target
Frequency
Reduce
DuplicaQon
of
Client
Data
%
DuplicaQon
1%
Daily
Increase
Completeness
of
Client
Record
%
Completeness
of
key
fields
99%
Daily
Track
Data
Lineage
Completeness
of
lineage
in
metadata
99%
Monthly
Ensure
Thoroughness
of
Client
Data
Sources
Review
of
data
acquisiQon
and
ETL
process
Business
consensus
Quarterly
Increase
Completeness
of
Products
Owned
%
Completeness
of
key
fields
99%
Weekly
Ensure
Thoroughness
of
Product
Data
Sources
Review
of
data
acquisiQon
and
ETL
process
Business
consensus
Quarterly
pg 53
Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Data
Understanding
Data
Transparency
Reduce
Manual
RemediaQon
54. GeTng
to
Business
Change
/
Impact
Metrics
pg 54
Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Goal
Measurement
Target
Frequency
Improve
Data
Understanding
Completeness
of
Business
Glossary
%
of
Business
Users
Trained
100%
100%
Monthly
Monthly
Improve
Data
Transparency
Completeness
of
Lineage
80%
Monthly
Reduce
Manual
RemediaQon
Time
to
complete
report
process
(baseline
is
6
days)
1
Day
Monthly
Increase
Report
Quality
and
Accuracy
Improved
Business
Stakeholder
SaQsfacQon
Survey
Reduced
Issue
Requests
Business
Approval
10%
drop
Quarterly
Monthly
This
is
your
KPI
55. BU
2
SCORECARD
BU
4
SCORECARD
BU
1
SCORECARD
BU
3
SCORECARD
DATA
GOVERNANCE
SCORECARD
(FUTURE
STATE)
STRATEGIC
VIEW
OPERATIONAL
SCORECARDS
CONSOLIDATED
BY
BUSINES
UNIT
SETUP
RULES
THRESHOLDS
DATA
QUALITY
DIMENSIONS
FFREQUENCY
WEIGHTING
ALL
SCORECARDS
START
WITH
A
BASELINE
Scorecard
Approach:
Show
some
vision
forward
Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
ATTRIBUTE
SCORECARD
Ahribute
level
Supports
OperaQonal
Use
Case
EnQty
Level
Supports
Company
Data
Governance
(Strategic
Value)
57. Why
is
CommunicaQon
Important?
pg 57Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Ø Creates
Awareness
Ø Aligns
expectaQons
Ø Creates
an
opportunity
for
feedback
/
engagement
Ø ProacQvely
addresses
Change
Ø Publishes
Success
Ø Answers
the
quesQons
“Why?”
and
“What’s
in
it
for
me?”
Ø Aligns
acQviQes
58. TranslaQng
Data
Value
into
Business
Value
§ CommunicaQon
is
key
to
maintaining
commitment
§ The
right
metrics
help
maintain
alignment
− Metrics
have
no
value
if
they
aren’t
aligned
to
the
interests
of
a
stakeholder
− Ensure
there
is
some
way
of
measuring
how
the
improvement
in
data
is
helping
stakeholders
progress
toward
their
goals
− What
informaQon
do
you
need
to
track
and
measure
to
those
goals?
§ Translate
the
value
statement
into
the
language
of
the
recipient
pg 58Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
59. Purpose:
Increase
Stakeholder
Engagement
pg 59Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Using
this
framework
enables
clear
gaps
in
stakeholder
engagement
to
be
idenQfied
and
subsequent
change
strategies
to
be
put
in
place
to
enable
the
gaps
to
be
closed
T I M EStatus Quo Vision
COMMITMENT/ENTHUSIASM
High
Contact
I’ve heard about this
program/project
Low
I know the concepts
Awareness
I understand how
Program/project positively impacts
and benefits me and the organization
Positive Perception
This is how we do business
Institutionalization
Understanding
I understand what this means to
me and the organization as a
whole
Adoption
I am willing to work hard
to make this a success
Internalization
I’ve made this my own and will
constantly create innovative
ways to use it
60. • Engagement
Strategy:
• Focused
effort
must
be
given
to
high
priority
groups
• Provide
sufficient
level
of
informaQon
to
less
influenQal
groups
to
ensure
buy-‐in
• Move
people
and
or
groups
to
the
right
by
trying
to
increase
their
level
of
interest
• Forms
the
foundaQon
of
your
engagement
/
communicaQon
strategy
Stakeholder
Engagement
Strategy
pg 60Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Meet
Their
Needs
Key
Player
Lower
Priority
Show
Considera4on
Stakeholder
Influence
Stakeholder
Influence
Stakeholder
Interest
61. What
is
a
CommunicaQon
Plan?
§ CommunicaQon
Plan
DefiniQon
− A
wrihen
document
that
helps
an
organizaQon
achieve
its
goals
using
wrihen
and
spoken
words.
− Describes
the
What,
Why,
When,
Where,
and
How
§ Importance
of
a
CommunicaQon
Plan
− Gives
the
working
team
a
day-‐to-‐day
work
focus
− Helps
stakeholders
and
the
working
team
set
prioriQes
− Provides
stakeholders
with
a
sense
of
order
and
controls
− Provides
a
demonstraQon
of
value
to
the
stakeholders
and
the
business
in
general
− Helps
stakeholders
to
support
the
DG
Program
− Protects
the
DG
Program
against
last-‐minute
demands
from
stakeholders
pg 61Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
62. CommunicaQon
Plan
§ Brings
it
all
together:
− Who
do
we
need
to
communicate
to?
− What
informaQon
will
be
important
to
them?
− Metrics
that
map
to
their
professional
and
personal
goals
− How
frequently
should
they
be
updated?
− What
is
the
method
of
communicaQon?
− Who
should
be
communicaQng
to
them?
pg 62Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
63. Components
of
a
CommunicaQon
Plan
pg 63Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Communica4on
Plan
Stakeholder:
XXX
QualitaQve
InformaQon
Any
general
qualitaQve
informaQon
that
I
would
like
to
receive
related
to
this
deliverable
QuanQtaQve
InformaQon
Of
the
quanQtaQve
metrics
that
have
been
defined,
which
are
the
ones
I
would
like
to
be
informed
about
AND
how
do
I
want
the
metric
communicated
to
me
to
make
the
message
perQnent
Frequency
How
open
do
I
want
to
be
informed
about
progress
Method
What
is
my
preferred
mechanism
of
receiving
the
informaQon
64. Item Frequency Description Purpose Audience Documentation From Date Owner Status
Meetings
First BSL Meeting One-Time
Introduction
Get explicit buy-in from the participants and
resource ask
DGWG BSLs PowerPoint Presentation John 8/25/11 John Complete
DGWG Core Team Kickoff Meeting One-Time DGO kickoff and vision from IT Sponsor Kickoff DGWG-Core, IT Sponsor PowerPoint presentation John 9/15/11 John Complete
DGO Launch Logistics One-Time Communication announcing the DGO Plan on the best way to communicate the DGO
launch and PR effort
DGO, SVB Corporate
Communication
Email John TBD John Complete
DGO-DGWG-Core Status Meeting Weekly DGWG accomplishments, progress towards goals
and issues
Status DGWG-Core members SharePoint Agenda & Content John Ongoing Flo In progress
Meeting with DGO IT Lead Weekly Planning and strategy Status/Planning DGO Chair, DGO IT Lead and
DGC
John Ongoing John
DGO & MDM alignment meetings Weekly MDM Implementation update Status MDM team, DGO Chair & DGC Agenda Rebecca Ongoing Rebecca
Mentoring program
(Data Stewardship Program)
Weekly Opportunity to learn from Business Steward Leads.
Best practices, polices, processes, standards,
definitions
Enrichment DGWG Data Stewards Data Stewardship Best practices.
DGO Polices, processes,
standards, definitions
TBD TBD TBD Not Started
Meeting with Program Sponsors Bi-Weekly? Provide DGWG accomplishments, progress towards
goals and issues
Status DGO Chair, Biz and IT Sponsor PowerPoint presentation John TBD John Not Started
DGO-DGWG Decision
(Core & Advisory) Meeting
Monthly DGWG voting meeting Vote and approve DGWG materials DGWG members SharePoint Agenda & Content John Ongoing Flo In progress
DGO-DGWG - DM IT Support Group Meeting Monthly DGWG DM IT Support Group team monthly update Bring the advisory team up to speed on status
before the decision meeting
DGWG Advisory members SharePoint Agenda & Content John TBD Flo Not Started
EIC Meeting Monthly DGWG accomplishments, progress towards goals,
issues, documents for informational purposes only
Status, Informational EIC members PowerPoint presentation John Ongoing John In progress
Meeting with SAM - Fund Business stakeholders As needed Relationship building/Expectations/Impact DGO resource engagement Business Stakeholders Informal/deck, Email John TBD Flo Not Started
Meeting with Purchasing stakeholders As needed Relationship building/Expectations/Impact DGO resource engagement Business Stakeholders Informal/deck, Email John TBD Flo Not Started
Meeting with Product Implementation stakeholdersAs needed Relationship building/Expectations/Impact DGO resource engagement Business Stakeholders Informal/deck, Email John TBD Flo Not Started
Meeting with Global Product stakeholders As needed Relationship building/Expectations/Impact DGO resource engagement Business Stakeholders Informal/deck, Email John TBD Flo Not Started
DGO Town Halls One/Year DGWG accomplishments and progress towards goals
Forum for open discussion
Team Building All DGWG members PowerPoint presentation John TBD Flo Not Started
Sample
CommunicaQon
Plan
pg 64Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
And
these
are
just
the
meeQngs!
Also:
•
Awareness
&
Training
•
CommunicaQon
Vehicles
•
Knowledge
Sharing
• ….
66. Ensuring
DG
is
Sustainable
• Incorporate
DG
goals
into
other
goals,
objecQves
and
incenQves
Incorporate
• Align
DG
with
strategic
objecQves,
programs
and
projects
Align
• Embed
DG
into
standard
project,
change
control,
new
iniQaQve
and
operaQonal
processes
Embed
• Focus
on
delivering
business
value
Focus
pg 66Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
67. Incorporate
IncenQves
Carrots
SQcks
Oversight
AllocaQon
pg 67Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
68. Align
with
ObjecQves,
Programs
and
Projects
§ Examples:
§ Alignment
with
Stakeholder
goals
(already
discussed)
§ Alignment
with
Corporate
ObjecQves
§ Alignment
with
strategic
Programs/Projects
pg 68Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
69. Example:
Alignment
with
Corporate
ObjecQves
pg 69Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
70. Example:
Tie
Principles
to
Corporate
Strategic
ObjecQves
Corporate
Objec4ve
Principle
Client
Data
is
a
key
asset
to
our
company.
We
will
enhance
and
manage
this
asset
by
emphasizing
clear
strategies,
decisive
acQon,
innovaQon
and
results.
Capabili4es
Business
stakeholders
will
get
informaQon
delivered
at
the
right
Qme,
locaQon
and
amount
as
efficiently
as
possible.
Execu4on
Data
Governance
will
introduce,
support
and
drive
standardizaQon
of
enterprise
data.
Brand
Best
in
class
customer
data
quality
will
significantly
improve
both
the
internal
as
well
as
external
customer
experience.
People
Data
Governance
should
increase
producQvity
through
centralized,
streamlined
processes
and
eliminate
non-‐value
added
acQviQes.
Maximizing
automaQon
is
a
key
way
to
improve
human
resource
efficiencies
and
is
preferable
over
manual
processes.
Principles
drive
crea.on
and
execu.on
of
policies,
standards,
processes,
etc….
pg 70Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
72. Project
IniQaQon
Project
ExecuQon
Change
Control
OperaQonal
pg 72
Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
73. Sample:
Embed
in
Project
IniQaQon
Process
pg 73Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
IdenQfy
informaQon/
infrastructure
needs
Profile
to
Iden4fy
data
issues
Analyze
to
Iden4fy
root
causes/
gaps
Design
solu4ons
to
root
cause
problems
/
gaps
Implement
process
&
Tech
soluQons
Sustain
Proac.vely
iden.fy
problems
and
solve
root
causes
74. Sample:
Embed
Data
Governance
Into
Your
Project
Methodology
pg 74Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Engage
DG,
DQ,
DA,
MDM,
Metadata
Leads
Assess
adherence
to
Guiding
Principles
Alignment
Workshop
Assess
adherence
to
Guiding
Principles
Engage
DG,
DQ,
DA,
MDM,
Metadata
Leads
Engage
DG,
DQ,
DA,
MDM,
Metadata
Leads
AddiQonal
DG,
DQ,
DA,
MDM
and
Metadata
related
deliverables
added
to
‘typical’
list:
Data
Profiling
Reports,
New/modified
Score-‐cards,
AddiQonal
Metadata,
New/
modified
Processes,
Data
Model
Reviews,
etc
Engage
DG,
DQ,
DA,
MDM,
Metadata
Leads
Engage
DG
Lead
75. Sample:
Embed
Data
Governance
with
Change
IniQators/Control
pg 75Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
A
process
flow
will
help
ensure
consistent
change
requests
related
to
data
76. Sample:
OperaQonal
Process
(Client
On-‐Boarding)
New
Client
Request
DocumentaQo
n
&
Due
Diligence
Terms
confirmed
Agreement
/
Contract
Created
Create
Client
Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
• ExisQng
or
Previous
Client
(Master
Data
Check)
• Data
Standards
and
ValidaQon
• Data
Quality
Check
• Regulatory
Checks
• RACI
/
Data
Ownership
• Data
Enrichment
• Data
ClassificaQon
• Data
RemediaQon
• Decision
Making
/
EscalaQon
Processes
• Hierarchy
/
RelaQonship
Check
• Client
SegmentaQon
• Contract
Management
• Document
Management
• Update
Master
Data
• Create
Hierarchies
• Data
Standards
and
ValidaQon
• Data
Quality
Check
• Data
Sharing,
Access
&
Use
Policy
• …
77. Sample:
OperaQonal
Process
(Unique
Device
IdenQficaQon
Management)
pg 77Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
IdenQfy
Products
for
Submission
IdenQfy
Data
Sources
Profile
Product
Data
IdenQfy
and
Address
DQ
Issues
Aggregate
Data
Cleanse
/
Enrich
Data
Review
/
Approve
Data
for
Submission
Submit
Data
and
resolve
errors
Publish
data
for
internal
/external
consumpQon
78. ArQfacts
needed
for
IdenQfying
Product
Data
&
Sources
pg 78Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
IdenQfy
Products
for
Submission
IdenQfy
Data
Sources
Profile
Product
Data
IdenQfy
and
Address
DQ
Issues
Aggregate
Data
Cleanse
/
Enrich
Data
Review
/
Approve
Data
for
Submission
Submit
Data
and
resolve
errors
Publish
data
for
internal
/external
consumpQon
Data
DicQonary
/
Business
Glossary
Data
Inventory
Data
Flow
Diagrams
Product
Data
Hierarchies
Data
Standards
Data
Ownership
and
RACI
matrices
79. ArQfacts
needed
for
Profiling
and
Addressing
DQ
pg 79Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
IdenQfy
Products
for
Submission
IdenQfy
Data
Sources
Profile
Product
Data
IdenQfy
and
Address
DQ
Issues
Aggregate
Data
Cleanse
/
Enrich
Data
Review
/
Approve
Data
for
Submission
Submit
Data
and
resolve
errors
Publish
data
for
internal
/external
consumpQon
• Data
Quality
Standards
• Data
Quality
Rules
• Data
Profiling
SoluQons
• Data
RemediaQon
Processes
• Decision
Making
&
EscalaQon
Processes
80. ArQfacts
needed
for
AggregaQng,
Cleansing,
Enriching
pg 80Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
IdenQfy
Products
for
Submission
IdenQfy
Data
Sources
Profile
Product
Data
IdenQfy
and
Address
DQ
Issues
Aggregate
Data
Cleanse
/
Enrich
Data
Review
/
Approve
Data
for
Submission
Submit
Data
and
resolve
errors
Publish
data
for
internal
/external
consumpQon
• Product
Hierarchies
and
RelaQonships
• Match
/
Merge
Rules
• Data
ValidaQon
and
Cleansing
Rules
• Data
AcquisiQon
Policies
(Purchasing
and
IntegraQng)
• ExcepQon
and
Error
Handling
Processes
81. ArQfacts
needed
for
Review,
Approve,
&
Submit
pg 81Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
IdenQfy
Products
for
Submission
IdenQfy
Data
Sources
Profile
Product
Data
IdenQfy
and
Address
DQ
Issues
Aggregate
Data
Cleanse
/
Enrich
Data
Review
/
Approve
Data
for
Submission
Submit
Data
and
resolve
errors
Publish
data
for
internal
/external
consumpQon
• Data
Profiling
• Data
Management
Workflows
• RACI
Matrices
• Decision
Making
and
EscalaQon
Processes
• Approval
Process
• ExcepQon
and
Error
Handling
Process
• Measurement
and
Monitoring
of
the
process
82. ArQfacts
needed
to
Publish
&
Manage
pg 82Copyright (c) 2014 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
IdenQfy
Products
for
Submission
IdenQfy
Data
Sources
Profile
Product
Data
IdenQfy
and
Address
DQ
Issues
Aggregate
Data
Cleanse
/
Enrich
Data
Review
/
Approve
Data
for
Submission
Submit
Data
and
resolve
errors
Publish
data
for
internal
/external
consumpQon
• Data
Sharing
Policies
(Usage,
Access
Rights)
• Data
RetenQon
• Training
and
CommunicaQon
84. Principle
Descrip4on
Be
clear
on
purpose
Build
governance
to
guide
and
oversee
the
strategic
and
enterprise
mission
Enterprise
thinking
Provide
consistency
and
coordinaQon
for
cross
funcQonal
iniQaQves.
Maintain
an
enterprise
perspecQve
on
data
Be
flexible
If
you
make
it
too
difficult,
and
people
will
circumvent
it.
Make
it
customizable
(within
guidelines),
and
people
will
get
a
sense
of
ownership
Simplicity
and
usability
are
the
keys
to
acceptance
Adopt
a
simple
governance
model
people
can
use.
A
complicated
and
inefficient
governance
structure
will
result
in
the
business
circumvenQng
the
process
Be
deliberate
on
par4cipa4on
and
process
Select
sponsors
and
parQcipants.
Do
not
apply
governance
bureaucracy
solely
to
build
consensus
or
to
saQsfy
momentary
poliQcal
interest
Enterprise
wide
alignment
and
goal
congruence
Maintain
alignment
with
both
enterprise
and
local
business
needs.
Guide
prioriQzaQon
and
alignment
of
iniQaQves
to
enterprise
goals
Establish
policies
with
proper
mandate
and
ensure
compliance
Clearly
define
and
publicize
policies,
processes
and
standards.
Ensure
compliance
through
tracking
and
audit
Communicate,
Communicate,
Communicate!
Frequent,
directed
communicaQon
will
provide
a
mechanism
for
gauging
when
to
“course
correct”,
manage
stakeholder
and
effecQveness
of
the
program
Governance
Design
Principles
pg 84Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
85. Ensuring
Success
§ The
following
factors
are
usually
evident
in
a
successful
program:
− First
create
a
strategy
and
then
follow
it
(agreed
on
starQng
point
&
steps
necessary)
− Ensure
solid
alignment
between
Business
&
IT
− Clearly
defined
and
measureable
success
criteria
− Small
iteraQons
vs.
all
or
nothing
− ExecuQve
sponsorship
is
criQcal
− IdenQfy
and
assess
the
importance
of
key
people
and
or
groups
− Really
know
your
data
− Leverage
prior
experience/work…don’t
re-‐invent
the
wheel
− Embed
governance
into
the
operaQons
of
your
company
− Communicate,
Communicate,
Communicate!
pg 85Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
86. pg 86Copyright (c) 2015 - First San Francisco Partners www.firstsanfranciscopartners.com Proprietary and Confidential
Thank
you!
Kelle
O’Neal
kelle@firstsanfranciscopartners.com
415-‐425-‐9661
@1stsanfrancisco