Data Governance
Strategies
for Public Sector
Joe Dantas
Public Sector Director
Esther Lim
Sales Engineering Manager

Today’s Speakers
Joe Dantas
Public Sector Director
Sydney
Esther Lim
Sales Engineering Manager
Melbourne

Agenda
• Introductions
• Precisely Overview
• Why do we need Data Governance?
• Business-First Data Governance
• Quiz!
• Q&A

Our software, data enrichment products and
strategic services deliver accuracy, consistency, and
context in your data, powering confident decisions.
of the Fortune 100
99
countries
100 2,500
employees
customers
12,000
Brands you trust, trust us
Data leaders partner with us

AGENTS
DATA
CATALOG
INTELLIGENCE
DATA FLOW
DESIGNER
• Enterprise apps
• Analytics tools
• Precisely industry
apps
• BI dashboards
• AI/ML
• Business Intelligence
• CRM
• Workforce mgmt.
• Data warehouse
• ERP
• Billing

65%
of data citizens
don’t know how
data governance
impacts their role
Data Governance: Measuring Effectiveness
80%
of governance
initiatives fail to
deliver expected
outcomes
74%
of data leaders
struggle to calculate
the ROI of data
governance projects
Gartner Forbes
HBR

Exploding Need for Trusted Data
83% of CEOs
want their
organisation to be
more data-driven
Digital transformation
investments to
top $6.8 trillion
globally by 2023
68% of Fortune 1000
businesses now
have CDOs – up 6x
in the last decade
Global data
infrastructure spending
expected to reach
$200 billion this year
Data is the fuel for decision-making today
IDC IDC Gartner Forbes

H
8
Data Scientists
spend up to 80%
of time on "data
cleaning" in
preparation for
data analysis,
statistical
modeling, &
machine
learning
Post Credit: Igor Korolev

Your Data Personas
Citizen developers, data
explorers, report builders, report
consumers
Self service reporting
Marketing, HR, Sales,
Management, Operational
CEO, CFO, CIO, CMO
Data Consumer
Manages all data processes
across business process
Manages the critical data, both
reference and transactional
Understands the quality of the
data and the problems Data
Consumers and Analysts are
encountering with it
Data Steward
BI Developer
ML and AI initiatives
Translates business
requirements into data
pipelines
Requires clean trusted data
Data Analyst/Modeller
Specific Domain data owners
Controls access to their data
domain
Makes decisions on
maintaining and achieving
good data quality
Data Owner

10
Where does
this data
come from?
What does
this data
mean?
What data is
being used in
this dashboard
report?
Who owns
this data?
How and who do
I notify if there is
an issue with this
data?
How does
this data
impact my
business?
Can I
trust it?
Where do
I find this
data?
How do I
request this
data?
Can I share
this data?
Is this data
governed by
any legislation
or policies?
Is this
data
certified?
Is this PII
data?

Leading Benefit of Data Governance is Data Quality
KEY FINDING
Improving data quality is the leading benefit organisations
receive from their data governance programs, an added
value that contributes to a range of critical business benefits.
Improved data quality is the
leading benefit derived from
data governance programs.
How has your data governance
program added value to the
organisation?
(n=449)
56%
Higher quality of data analytics and insights
52%
Facilitated collaboration
50%
Faster access to relevant data
49%
Increased regulatory compliance

Legislative Drivers
Comply with Legislation Data Legislation and Policies
• Local Government Act 2009
• Privacy and Personal Information
Protection Regulation 2019
• Data Sharing (Government
Sector) Act 2015
• Government Information (Public
Access) Act 2009 (GIPA ACT)
• Health Records and Information
Privacy Act 2002 (HRIP Act)
• Privacy and Personal Information
Protection Act 1998 (PPIP Act)
• State records Act 1998
• CDR – Consumer Data Right
PII – Personally identifiable
information
• Information that can be used
on its own or with other
information to identify, contact
or locate a single person, or to
identify an individual in context.
• This might include a person’s
name and address, medical
records, bank account details,
photos, videos and even
information about what an
individual likes, their opinions
and where they work.

Source: Notifiable data breaches report July to December 2022

Pager messages include
patients' personal details
and condition as well as
the address of the incident
‘Bordering on negligent’: NT
Health releases personal
data in COVID app breach

Database of
International Committee
of the Red Cross
breached
ACT government publishes
sensitive health data from
nearly 30,000 workers'
compensation claims

Passports, home
addresses at risk as
hackers attack
Optus
Medibank takes
systems offline after
'cyber incident'

Regulations and Data
Amazon hit with $886m fine for
alleged data law breach
WhatsApp issued second -largest
GDPR fine of €225m
Meta fined $18.6 million over 12
GDPR-related data breaches
Google was hit with a $57 million
fine over alleged General Data
Protection Regulation
Instagram Fined $AU595 Million
in EU Over Teenager’s Data
£18.4 million Marriott
International GDPR fine

Why do we need Data Governance
Better decision making Democratisation of Data Improve Efficiencies
Improve Data Quality – Trust in
Data
Ensure compliance Secure your data

How to Build a Data Governance
Program That Lasts

“We need to
govern our data!”
A Typical Governance Story
LEADERSHIP
DATA
GOVERNANCE
TEAM
BUSINESS
USERS
DATA
GOVERNANCE
TEAM
BUSINESS
USERS
LEADERSHIP
INCITING
EVENT
Governance
spends more
time fighting
data fires.
Business
quickly loses
interest; stops
attending
meetings
Program
investment is
deprioritized
Asked to
help with
definitions,
approvals, and
ownership.
Team is
tasked with
putting
program in
place
Exec calls for
a data
governance
program
“We need to get the
business involved!”
“How does this help
me do my job?”
“We’re spending a lot more
time fighting data fires.
We need more meetings…”
“These meetings are
a waste of time!”
“I’m not seeing
the ROI”

Successful programs link
Data Governance to organisational goals

Organisational Goals Inform Your Steps
REPORTING & COMPLIANCE ANALYTICS & INSIGHTS OPERATIONAL EXCELLENCE
Data protection
Risk and fraud
Privacy
Safety
Regulatory compliance
Internal reporting
Serviceability
Personalised Communication
Forecasting
Customer 360° view
Optimize working capital
Enhance customer care
Lower operating expenses
Improve citizen engagement

REPORTING & COMPLIANCE ANALYTICS & INSIGHTS OPERATIONAL EXCELLENCE
Data protection
Risk and fraud
Privacy
Safety
Regulatory compliance
Internal reporting
Serviceability
Personalised Communication
Forecasting
Customer 360° view
Optimize working capital
Enhance customer care
Lower operating expenses
Improve citizen engagement
Organisational Goals Inform Your Steps

Mapping Data Governance Business Value
Goal Org Stakeholders Expected Outcomes DG Objective DG Capabilities
Improve
personalization of
services
Marketing
Finance
Service
• Increase NPS by
5%
• 10% increase in
service uptake
• Establish a common
view of trusted
customer data assets
• Data Catalog
• Data Lineage
• Approval
Workflow
• Data Integrity rules
Increase user
productivity by
improving time-
to-insights
Business Analytics
Data Office
Service
• Reduce time-to-
insight by 45%
• Establish stage
gates, rules, policies,
and quality measures
for end-to-end
processes
• DQ rules
• Business process
monitoring
• Data quality
metrics
Reduce costs
associated with
errors in reporting
Business Analytics
IT
Data Office
• Reduce manual
reporting costs by
15%
• Improve decision-
accuracy by 22%
• Launch data literacy
campaign across
business data SMEs
• Data lineage
• Data Catalog
• Automated
workflow

Governance as a “Painkiller” and “Vitamin”
Goal DG Objective DG Capabilities
Improve
personalization of
services
• Establish trusted view
of customer data
assets
• Data Catalog
• Data Lineage
• Approval Workflow
• Data Integrity rules
Increase user
productivity by
improving time-to-
insights
• Establish stage gates,
rules, policies, and
quality measures for
end-to-end processes
• DQ rules
• Business process
monitoring
• Data quality metrics
Reduce costs
associated with
errors in reporting
• Launch data literacy
campaign across
business data SMEs
• Data lineage
• Data Catalog
• Automated workflow
Centralized collection
of customer data
elements used for
marketing and
promotion
Data profile providing
additional context on
volume, counts,
location, and contents
Data lineage flow of
upstream/downstream
relationships
Impact analysis to
business processes,
metrics, and analytics
Approved governance
ownership indicating
data is certified for
access and use
Automated approval
workflow to grant
access to data at
source
Data integrity metrics
to indicate data that is
accurate, consistent,
and trusted
Quality monitoring to
trigger notifications
below acceptable
values
P A I N K I L L E R
“ M u s t H a v e s ”
V I T A M I N
“ B o n u s ”

Successful programs
prioritise the data that matters

Focusing on What Matters (critical data adding value)
Data
Selection of data maintained at the system
level (tables and fields)
Information
Information required to run the business
and conduct daily operations
KPIs / Performance Measures / Analytics
Measuring process effectiveness & enabling
sound business decisions
Actionable Insights & Business Value
Strategic enterprise and organisational
business value drivers
CRITICAL DATA

Prioritising What Matters
Goal Org Stakeholders Expected Results DG Objective DG Capabilities
Improve
personalization
of services
Marketing
Finance
Service
• Increase NPS by 5%
• 10% increase in
service uptake
• Establish a
common view of
trusted customer
data
• Data Catalog
• Data Lineage
• Approval
Workflow
• Data Integrity
rules
“We need to
personalize our
outreach to
improve services.”

Prioritising What Matters
Personalisation

Successful programs
build value across three levels

Value Metrics Across Three Levels
Strategic
• Business Transformation Lead
• CDO / Data & Analytics Lead
• CIO
Value Metrics: Business Impact / ROI
• Process enablement
• KPI’s / PPI’s
Value Metrics: Performance Improvement
• Data Quality
(e.g. Accuracy)
• # of touches
Value Metrics: Efficiency & Effectiveness
• Volume / counts
• Completeness
• Accessibility
• Curation times
• Scale (# Systems managed)
• Data Error % (Rework %)
• Cycle time vs SLA’s
• Timeliness / availability
• Customer sentiment
• Project acceleration
Operational
• Business Process Lead
• Data Governance Lead
• Data Management Lead
• Information Architect
Tactical
• Business Data SME
• Data Analyst / Scientist
• Data Steward
• Data Maintenance & Quality
• Data Engineer

The Value Story
• Catalog assets
• Terms defined
• Quality rules developed
• Data owners identified
• Issue requests
Tactical Value Metrics (Inputs)
• FTE Productivity
• Data Literacy index
• Adoption / NPS
• Cycle time
• Data sharing
Strategic Value Metrics (Outcomes)
• We identified 35% more underserved
citizens out of our total population…
• We increased program participation by
25%…
• And we’ve increased funding by 25% to
match participation levels…
• We’ve catalogued 10,000 data assets…
• Defined the top 50 critical business terms …
• Aligned on key rules and policies…
• And our data quality is showing 90+% accuracy
and consistency for reporting data…
Lead to

Successful programs
embed governance in daily operations

Proper Data Governance Removes Friction
• Meetings
• Surveys
• Approvals
• Procedures
Why aren’t people
coming to my monthly
governance meetings?

Proper Data Governance Removes Friction
• Meetings
• Surveys
• Approvals
• Procedures
• Targeted Recommendations
• Personalised Onboarding
• Governance Ambassadors
• Leadership Endorsements
• Scoreboards
Why aren’t people
coming to my monthly
governance meetings?

Increased platform
adoption by 36%
Improved DG Council
attendance by 52%
Increased workflow
speed by 18%
Craig

Takeaways
• Link data governance to
business goals and outcomes
• Quantify business impact with
the value metrics that resonate
across each stakeholder level
• Prioritise the data and
capabilities that matter the
most. Focus on “painkillers”.
• Change management!

Thank You
precisely.com/solution/data-governance-solutions