This webinar discusses data governance and data quality. It notes that data governance helps data teams discover context, quality, and trustworthiness through metadata, while operational data quality allows reconciling data across sources to ensure high quality data flows. Data preparation and analytics enables analyzing quality data. Strategic services help align data teams to strategic goals. Recent survey findings on data governance and quality trends are also presented.

1. Fueling Enterprise
Data Governance
with Data Quality

2. Housekeeping
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Recording and slides
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3. Today’s speakers
Sue Pawlak
Senior Product
Marketing Manager
Mike Sisolak
Senior Sales
Engineer
Franco Primavesi
Director, Product
Management

4. Our software, data enrichment products and
strategic services deliver accuracy, consistency, and
context in your data, powering confident decisions.
of the Fortune 100
97
countries
100 2,400
employees
customers
12,000
Brands you trust, trust us
Data leaders partner with us
Precisely Confidential and Proprietary - Do Not Copy or Distribute

5. Data integrity is…

6. The elements of Data Integrity
Change Data Capture
ETL
Machine Data
Integration
Process Automation
Integrate
Data Governance
Data Profiling
Data Quality
Master Data Management
Self-Service Analytics
Verify
Spatial Analysis
Geocoding
Routing
Visualization
Locate
Geographic Data
Business Data
Industry-Specific Data
Enrich
Integrated Comms
Personalized Video
Chatbots
Responsive Messaging
Digital Self-Services
Engage

7. Data governance
& catalog
help data
teams discover
context, quality, and
trustworthiness
through metadata
Operational
data quality
allows operations to
reconcile data across
sources to ensure
high quality data
flows through
complex data
environments
Data preparation
& analytics
enables data
analysts to acquire,
prepare, and analyze
quality data
Strategic
services
help align data
teams to strategic
goals and objectives
to ensure ROI
Precisely extends its data integrity reach with the recent
acquisition of Infogix

8. The point of data governance
is not governance

9. The point is…
Reporting & compliance
• Internal reporting
• Industry-specific regulations
• HIPAA
• SOX
• Basel II
• GDPR
Analytics & insights
• Big data
• Machine learning
• Internet of things
• Global visibility
• Real-time analytics
• 360° view of the customer
Operational excellence
• Improve working capital
• Strategic sourcing
• System migration &
consolidation
• Enhanced customer
satisfaction
• Product traceability
• New product intro
Delivering business outcomes and connecting business goals, objectives & value with
measured impacts & risks

10. Data leaders speak
Trends in Data Governance and Data Quality
• New report with results from a survey of data and analytics professionals
• Research conducted in partnership with Drexel University’s LeBow Center
for Business Analytics
Research profile
• 800+ data professionals
• Companies over $500M
• Multi-industry/multi-regional focus
• C-Suite, IT & business executives and managers
83%
With mature data
governance programs
see value in improved
data quality

11. 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.”
“Top choice for clients looking for a well-rounded
governance solution with solid data quality capabilities
and data strategy consulting services
“Precisely is the only vendor
to offer native
real-time personalized and
interactive video.”

12. Data governance +
data quality
A symbiotic relationship that:
• Builds trust in data enterprise-wide
• Accurately measures business value
• Fosters collaboration for more
robust insights & outcomes
• Creates auditable processes to
document data changes

13. Demo

14. Accurately measure
business value
Foster collaboration for
more robust outcomes
& insights
Build trust in data
enterprise-wide
Auditable processes to
document data changes

15. Questions?

16. Data governance is
not the end goal.
Delivering better
business outcomes is.
Data governance &
data quality are
intertwined on the
journey to data integrity.
Key
takeaways

17. Data integrity is
a journey
• Business & IT are collaborating more than ever –
no more corporate IT-driven initiatives
• Every organization is on their own unique
journey to data integrity
• Specific business use cases define the need for
discrete steps along the journey
• Strong preference to implement targeted
solutions to today’s challenges rather than invest
in a monolithic platform
ENRICH
VISUALIZE
PREPARE
UNIFY
CONNECT DISCOVER
CATALOG
CLEAN
LOCATE

18. 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

19. Thank you