Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves CDOs and governance leaders having to continually make the case for data governance to secure business adoption.   In this on-demand webinar, we will share the lean, business-first data governance approach that connects key financial services initiatives to governance capabilities and quickly delivers business value for the long-term.

1. Four Must-Haves for
Data Governance in
Financial Services

2. Housekeeping
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3. Our software, data enrichment products, and strategic services
deliver accuracy, consistency, and context in your data,
powering confident business decisions.
Brands you trust, trust us
Data leaders partner with us
of the Fortune 100
97
countries
100 2,400
employees
customers
12,000
3

4. ACCURACY CONSISTENCY CONTEXT
On-premises, Hybrid Cloud & Cloud
Insurance
Cloud Data Warehousing
Retail
Banking &
Financial
IT Operations Solutions Customer 360
INTEROPERABLE | INTELLIGENT | DYNAMIC
Telco Government Healthcare
Compliance
Precisely Data Integrity Suite
4

5. Connect today’s
infrastructure with
tomorrow’s technology
to unlock the potential of
all your enterprise data
Integrate
Understand your data and
ensure it is accurate,
consistent and complete
for confident
business decisions
Verify
Analyze location data for
enhanced and
actionable business
insights that drive
superior outcomes
Locate
Power enhanced decision
making with expertly
curated, up-to-date
business, location, and
consumer data
Enrich
The four elements of data integrity
D A T A I N T E G R I T Y

6. LEADER
Customer Comms
Management 2020
LEADER
Location Intelligence Platforms
Forrester Wave 2020
LEADER
Data Quality
Magic Quadrant 2021
The Forrester Wave™
2021 Data Governance
CHALLENGER
Data Integration
Magic Quadrant 2020
Precisely has earned industry recognition
DATA INTEGRITY
DATA INTEGRITY
IN ACTION
Integrate Verify Locate Enrich Engage
“Precisely now provides well-integrated
solutions for use cases needing a
combination of data integration
and data quality capabilities.”
“Precisely’s record for innovation in areas such as
data products and geodata enrichment are a key
strength…ideal for commercial enterprises servicing
a range of location intelligence use cases.”
“Precisely is the only
vendor to offer native
real-time personalized
and interactive video.”

7. Governance drives organizational
value in complex data environments
7
• Data integration
• Data cleansing
(data quality)
• Data supplementation
(Reference data)
• Data enrichment
(geocoding)
* Individual could be a profile, non-
profile or corporate customer
• Products and services
purchased
• Household relationships
• Organizational
relationships
• Social network
• Location relationships
• Single view of individual
• Relationships
• All interactions
• Transactional information
with business applications
• Sales, billing,
customer center,
support, etc
• Interactions information
from social media
• Anonymous web & mobile
interactions
• Applying analytical
capability to create insight
• Explore data
• Predict
• Optimize interactions

8. Governance drives organizational
value in complex data environments
8
Organizational
value
Data complexity
Spread sheets
Analytics/reporting
Single domain master data management
“Enterprise” data warehouse
“Multi-domain” master data management

9. “We need to
govern our data!”
9
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”

10. Benefits of a
business-first
approach
Accelerate program
roll-out by 18-40%
Increase likelihood of
reinvestment by over 75%
Generate 2-7x greater ROI

11. Successful programs
link Data Governance to business goals

12. Business goals inform your steps
REPORTING & COMPLIANCE ANALYTICS & INSIGHTS OPERATIONAL EXCELLENCE
Data protection
Risk and fraud
Privacy
Safety
Regulatory compliance
Internal reporting
Net Promoter Score
Website traffic
Targeted marketing
Customer retention
Buying patterns
Customer 360° view
Optimize working capital
Enhance customer care
Facilitate M&A
Lower operating expenses
Increase service levels
Reduce attrition

13. How data drives Financial Services
REPORTING & COMPLIANCE ANALYTICS & INSIGHTS OPERATIONAL EXCELLENCE
Data protection
Risk and fraud
Privacy
Safety
Regulatory compliance
Internal reporting
Net Promoter Score
Website traffic
Targeted marketing
Customer retention
Buying patterns
Customer 360° view
Optimize working capital
Enhance customer care
Facilitate M&A
Lower operating expenses
Increase service levels
Reduce attrition

14. Mapping data governance to business value
Goal Org Stakeholders Expected Outcomes DG Objective DG Capabilities
Improve
personalization of
customer products
and services
• Marketing
• Sales
• Finance
• Increase NPS by 5%
• 17%+ repeat customer
purchases
• 11% reduced churn
• Establish a common
view of trusted
customer data assets
• Data Catalog
• Data Lineage
• Approval Workflow
• Data Integrity rules
Accurate and timely
credit-risk analysis
• Underwriting
• Loan office
• Finance
• 10% reduction in
expected loss
• 20% lower Probability
of Default
• Establish stage gates,
rules, policies, and
quality measures
across credit risk
analysis process
• Analytics governance
• Model analysis
• Data quality metrics
Increase user
productivity by
improving time-to-
insights
• Business Analytics
• IT
• Data Office
• Improve decision-
accuracy by 22%
• Reduce time-to-insight
by 45%
• Launch data literacy
campaign across
business data SMEs
• Data lineage
• Data Catalog
• Automated workflow
Mitigate risk and
facilitate regulatory
compliance and
reporting
• Compliance Office
• Finance
• IT
• 10% improvement to
Reputation Index
• 15% reduction in
regulatory fines and
settlements
• Establish risk and
control framework
for regulatory
drivers
• PII detection
• Data monitoring
• Access control

15. Governance as a “painkiller” and “vitamin”
Goal DG Objective DG Capabilities
Improve
personalization of
customer products
and services
• Establish trusted view
of customer data
assets
• Data Catalog
• Data Lineage
• Approval Workflow
• Data Integrity rules
Accurate and
timely credit-risk
analysis
• Underwriting
• Loan office
• Finance
• •10% reduction in
expected loss
• •20% lower
Probability of Default
Increase user
productivity by
improving time-to-
insights
• Launch data literacy
campaign across
business data SMEs
• Data lineage
• Data Catalog
• Automated workflow
Mitigate risk and
facilitate regulatory
compliance and
reporting
• Establish risk and
control framework for
regulatory drivers
• PII detection
• Data monitoring
• Access control
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 ”

16. Prioritizing what matters
Goal Org Stakeholders Expected Results DG Objective DG Capabilities
Improve
personalization
of customer
goods and
services
Marketing
Sales
Finance
• Increase referrals
by 5%
• 17%+ repeat
customer
purchases
• 11% reduced churn
• Establish a
common view of
trusted customer
data
• Data Catalog
• Data Lineage
• Approval
Workflow
• Data Integrity
rules
“We need to
personalize our
outreach to
reduce churn.”

17. Operational
Bridging the gap between business & IT
Strategic
Tactical
e.g., KPIs / metrics,
strategic programs,
data privacy & protection
e.g., product development,
planning, sourcing,
manufacturing
e.g., data migrations, system
implementations, data
science & engineering
Critical data that drives
business processes
and operations
Grow the Business
Critical data assets that have
operational, compliance and
analytical business impacts
Run the Business
Critical information driving
business goals, objectives,
KPIs, and metrics
Transform the Business

18. 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

19. 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)
• Our customer onboarding process has
decreased by 25%...
• We’re able to identify 33% more customers
to cross-sell of lending products…
• And we’ve increased FTE productivity
by 20% due to data self-service …
• We’ve catalogued 10,000 supplier data assets…
• Defined the top 50 critical customer data assets …
• Aligned on key rules and policies for each…
• And our data quality is showing 90+% accuracy
and consistency for customer objects…
Lead to

20. Takeaways
• Link data governance program initiatives
to higher-level business goals, stakeholders,
and business outcomes
• Deploy data governance capabilities that
directly serve as both painkillers and
vitamins to protect and grow the business
• Communicate Governance Value across
three levels – Strategic, Operational, and
Tactical
• Quantify business impact with value
metrics that resonate across each level

21. Questions?

22. Thank you