Data quality used to be a one-dimensional term: Is your data right? As the data landscape has become more complex and sophisticated, data quality has evolved to require a more holistic approach to encompass much more to ensure trust in data. Integrated data quality, governance, and multi-domain data management provides a more robust single view that data-driven companies require to have more complete confidence in critical business decisions. Join Chuck Kane, VP of Product Management, Precisely, as he shares use case trends that illustrate how innovation in data management continues to evolve. Topics that you will hear addressed: Evolving Data Monetization: improve your bottom line with the ability to confidently leverage data as an asset Evolving to a Single View of Data: break down silos, and gain a powerful, comprehensive single view of your organization’s data Evolving Data on the Move: ensure consistent levels of data quality by monitoring data as it moves throughout the business Evolving Operational Value: enrich, fix, and validate data to open the door to new possibilities

1. Optimizing Solution
Value – Dynamic Data
Quality, Governance,
and MDM

2. 2
Optimizing Solution Value – Dynamic Data
Quality, Governance, and MDM
Chuck Kane
Vice President, Product
Management
Sue Pawlak
Senior Manager, Product
Marketing

3. Exploding need for trusted data
83% of CEOs
want their
organization 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
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IDC IDC Gartner Forbes

4. Solution focused problem solving
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Data
Governance
Data Quality
Master Data
Management

5. Challenges
Decision-making takes too long
Lack of visibility and alignment
around strategic direction and
execution
Top talent and subject matter
experts are not always involved
Sub-optimal business decisions
impacting revenue, costs, and risks
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6. Evolved approach: Business Value Focus
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Robust Data
Quality
Trusted
MDM
Integrated
Data
Governance
Business
Value

7. Evolving Data Monetization

8. Data Quality + Data Governance
KEY FINDING*
Improving data quality is the leading benefit organizations
receive from their data governance programs, an added
value that contributes to a range of critical business benefits.
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Improved data quality is the
leading benefit derived from
data governance programs.
How has your data governance
program added value to the
organization?
(n=449)
66%
Improved data quality
56%
Higher quality of data analytics and insights
52%
Facilitated collaboration
50%
Faster access to relevant data
49%
Increased regulatory compliance
* Data Professionals Speak: Trends in Data Governance & Data Quality, 2021

9. CHALLENGE
Improving Data Maturity Enterprise-wide
Needed tooling to drive a data
governance program that builds data
maturity, quality, and trust for advanced
analysis and decision-making.
SOLUTION
Data Governance, Data Catalog, Data
Quality, and Strategic Services. Early
Access Data Observability to expand
investment value.
BUSINESS VALUE
Greater analytic efficiencies and ability to
leverage larger data volumes with more
granular insights into data meaning,
accuracy, and relationships.
Strengthening the long-term financial
position of over $170B assets under
management.
Independently managed
public sector wealth
management fund
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10. ESG stands for Environmental, Social
and Governance, and refers to the
three key factors when measuring the
sustainability and ethical impact of an
investment in a business or company.
World leading consumer
product manufacturing
company
Market Business News
CHALLENGE
Greater visibility around ESG metrics for
actionable business improvements
Data strategy called for a unified data
platform that provides data quality and a
data catalog that would deliver a
business-friendly experience across their
ecosystem.
SOLUTION
Data Governance, Data Catalog, Data
Quality, Strategic, and Implementation
Services.
BUSINESS VALUE
Pro-active business evaluation and
reporting around key environmental (ESG)
metrics including greenhouse gas
emissions.
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11. Evolving to a Single View of Data

12. Advanced insights from single view of data
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Applying analytical capability
to create insight
Customer-centric
Insights
Explore Data
Predict
Optimize Interactions
Sales, Billing, Customer
center, Support, etc
Single View of Individual
+ relationships
+ all interactions
Transactional Information
with Business Applications
Interactions Information
from Social Media
Sales, Billing,
Customer Center, support, etc
Anonymous Web &
Mobile Interactions
Single View of
Individual Relationships Products and
services purchased
Household relationships
Organizational relationships
Social network
Location relationships
Single View
of Individual*
* Individual could be a profile, non-
profile or corporate customer
Data integration
Data cleansing
(data quality)
Data supplementation
(Reference data)
Data enrichment
(geocoding)
Complete View of
Individual Interactions

13. CHALLENGE
Single View: Merchant
• Unlock the value of siloed data to drive
critical business decisions
• Inability to understand merchants
• Inability to enrich their data-dependent
either on an entity or on a specific
location
SOLUTION
• Enterprise Data Quality with single view
capabilities
• Location Intelligence for location-based
enrichment
• Ability to support both on-premise and
cloud scalability
BUSINESS VALUE
• Collect and understand the enterprise
data
• Transform data assets into a solid
foundation supporting business
decisions
• Unlock key insights to enable further
sales/growth
Multinational financial global pioneer in
payment innovation and technology
connecting billions of consumers,
issuers, merchants, governments, and
businesses.
Large Multinational
Financial Services
Corporation
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14. CHALLENGE
Master Data Management + Data Quality
MDM is vital to oil well operations. With
plans to invest $20B in deep water assets,
their legacy MDM was inadequate:
• Data domains weren’t linked together
• Managed critical data in multiple systems
• Day-to-day operations required IT
support
• Integrating across systems was inefficient
SOLUTION
A data hub to establish a single source of
truth across data domains, with advanced
data quality capabilities to ensure
completeness and accuracy.
BUSINESS VALUE
• Creating a golden record for master data—including vendor, location,
equipment, customer, and material
• Enriching and exporting data across systems to ensure data quality and
reduce costly downtime
• Enabling integrations across multiple source systems, both on-prem and SaaS
One of the world’s largest energy
providers and chemical manufacturers
with a global workforce exceeding
60,000
Multinational Oil &
Gas Company
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15. Evolving Data on the Move

16. Data on the Move
Data transformation &
modernization projects
System to system/Application to
application reconciliation
Merger & acquisition processes
System A System B System C
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17. CHALLENGE
Data Modernization
The financial claims division initiated a
data modernization project to more
effectively leverage their data. They
anticipated that they would need solutions
to:
• Improve the data quality
• Balance and reconcile diverse and large
data loads
SOLUTION
• Out-of-the-box exception workflow
capability was a deciding factor in the
data quality tool selection in order to
meet implementation deadlines.
• Customer was able to avoid a second
tool selection process when they
discovered that the selected data
quality solution includes robust
reconciliation capabilities.
BUSINESS VALUE
• Modernize data streams in support of
administration system modernization
efforts.
• Provide more and better data for
Corporate reporting and analytics.
Regional Property & Casualty
Insurance Company
Mutual insurance company that
provides life, home, car, and business
insurance to over 3 million policyholders
within 26 operating states.
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18. CHALLENGE
Data in Motion
Existing claims process resulted in missing,
late and duplicate claims. This resulted in
significant compliance fines.
SOLUTION
Precisely solutions enabled the insurer to
monitor 100% of claims across all systems
and interfaces and eliminate manual
reconciliation processes.
BUSINESS VALUE
Customer wanted to reduce compliance
risk and was able to reduce compliance
fines to $0.
State-based health insurance plan with
a diverse set of offerings serving
400,000 members.
Mid-Sized Health
Insurance Company
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19. Evolving Operational Value

20. Sales
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Get trusted data
to the systems that
power your business
Data Ops

21. CHALLENGE
Advanced cloud-native data quality
Difficulties in standardizing data quality
validations across systems and
departments. Needed the ability to
visualize a variety of data quality results
including checks on critical business data
and validation & standardization of
addresses and names.
SOLUTION
Cloud native data quality solution with
built-in visualization and exception
management that can be standardized
across the organization.
BUSINESS VALUE
• Enable business users to understand the
state of data quality on key business data.
• Application of address standardization as
part of the enterprise standard.
• Ability to route specific types of issues to
users to investigate and resolve.
National health and wellness enterprise
that employs more than 35,000 people
and serves 40 million Americans in 50
states.
Large Health
Insurance Company
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22. CHALLENGE
Advanced MDM + Data Quality
• Data inconsistencies across systems
• Inefficient business processes, redundant
data entry, and inability to keep track of
data flow
• Difficulties tracking and auditing data
changes
• Inability to allow vendors to self-manage
data
SOLUTION
Single system to manage multiple data
domains and streamline workflows, with
advanced address validation and
geolocation intelligence.
BUSINESS VALUE
• Creating a single source of truth for product,
customer, vendor, location, and employee data
• Enabling vendors to import product data
• Enriching data and exporting to downstream
systems to improve data quality for all users
and reduce costly errors
National manufacturer and supplier of
professional-grade building products
and services with 26,000 employees
and 550 locations across 40 states.
Fortune 500
Manufacturer & Supplier
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23. Benefits of
an evolved
approach
Optimized business decisions
Accelerated time to value
Clear alignment around strategic
direction and execution
Improved engagement of top talent
on strategic and innovative initiatives
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24. The Data Integrity Approach
Modernize your
infrastructure for the
cloud, eliminate data
siloes, and automate
business processes
Build data governance
and quality into your
data-centric processes
to ensure accuracy
and consistency
Leverage the location
information inherent in
your data for more
sophisticated analytics
and actionable insights
Complement your core
business data with
expertly curated datasets
to add critical context
and increase value
Create seamless,
personalized
and omnichannel
communications
on any medium, anytime
Integrate Verify Locate Enrich Engage
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25. Questions?

26. Thank you