March 2023
Data at the Speed of Business
with Data Mastering and Governance

Where data comes to
Welcome!

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Today’s Speakers
Ryan Glasunow Jason Beard Jay Hawkinson Taryn Stebbins
Sr. Director, Data Governance
and Privacy
Sr. Director, Data Strategy
and Governance
Director, Data Analytics
and Insights
Director of Data Strategy
and Master Data

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About Valmont
Valmont is a global manufacturer specializing in Agriculture and Infrastructure markets
• With 85 manufacturing sites in 22 countries, the company has grown via merger & acquisition since 1946
• As part of our digital transformation, Data and Insights is foundational and key
• With over 20 years in Data & Analytics and Digital Transformation for global manufacturers, Jay is leading
the team building the technical and business information foundation for Valmont’s Data Driven
Organization

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About Fragomen
Fragomen is the world’s leading single-focus provider of immigration services and support
• Our firm is composed of law practices and immigration consultancies that work together to support our clients
across all regions globally
• At Fragomen, we leverage our collective immigration experience to offer clients targeted and trusted solutions
that help them achieve their local, regional and global business goals
• Fragomen has 60 locations strategically positioned in key commercial centers throughout each region
worldwide — this approach fuels our understanding of local culture and case processing nuances, allowing us
to deliver optimal results

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Top Business Imperatives for Data Leaders
30%higher
Employee
productivity rates
Improving time-
to-market
by 16% 28%better
Managing
operational risk
Reducing
operational costs
by 15%
GROW THE
BUSINESS AND
INCREASE AGILITY
IMPROVE
CUSTOMER
EXPERIENCE
MANAGE
RISK AND
COMPLIANCE
REDUCE
OPERATIONAL
COSTS
1
High performing data delivery organizations compared to low-performing organizations.
Data Trust Survey, IDC, December 2021, n=500

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Asking the right questions ?
• How do we understand data?
• How is data defined?
• How are business processes defined and
associated to what data?
Define Govern
• How do I resolve and relate multiple instances
of same the person, place, thing?
Master
• How do I find data anomalies?
• How do I standardize data from multiple sources?
Measure
• How is data classified?
• How are the data security and privacy controls
associated to data?
Catalog
• How do we fulfill data compliance
requirements?
• How are data risk levels assessed?
Classify
• How do I know what certified data is
available and trustworthy?
• How might someone request access?

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What are your
business
imperatives?
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Challenges to Governing Master Data
Identifying Unknown
Data Sources & Types
• Too much time spent on data
discovery and preparation
• Too many silos with unclassified
and uncategorized data
• Last mile data delivery
challenges
1
Enabling Responsible
Data Use
• Only 33% of consumers believe
that personal data is being
used responsibly3
• Evolving regulatory policies
require ongoing investments
and effort to control access
• Manual governance does not
scale easily across data lakes
3
Improving Low Trust
in Data Accuracy
2
• Only 27% of data practitioners
completely trust their data1
• “Trust in data degrades as
it moves further away from
its origin”2
• Rigid, manual documentation-
based approaches do not scale
1. Source: Data Culture Survey, IDC December 2020, N=455, Data Trust Survey, IDC December 2021 N=500
2. Source: “In Data We Trust. Or Do We?”, Stewart Bond, IDC Directions Conference, March 2022
3. McKinsey, “A customer-centric approach to marketing in a privacy-first world”, May 2021

10 © Informatica. Proprietary and Confidential.
Challenges to Governing Master Data
Identifying Unknown
Data Sources & Types
• Too much time spent on data
discovery and preparation
• Too many silos with unclassified
and uncategorized data
• Last mile data delivery
challenges
1
Enabling Responsible
Data Use
• Only 33% of consumers believe
that personal data is being
used responsibly3
• Evolving regulatory policies
require ongoing investments
and effort to control access
• Manual governance does not
scale easily across data lakes
3
Improving Low Trust
in Data Accuracy
2
• Only 27% of data practitioners
completely trust their data1
• “Trust in data degrades as
it moves further away from
its origin”2
• Rigid, manual documentation-
based approaches do not scale
1. Source: Data Culture Survey, IDC December 2020, N=455, Data Trust Survey, IDC December 2021 N=500
2. Source: “In Data We Trust. Or Do We?”, Stewart Bond, IDC Directions Conference, March 2022
3. McKinsey, “A customer-centric approach to marketing in a privacy-first world”, May 2021

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Challenge 1:
Identifying data
sources and types
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Challenges to Governing Master Data
Identifying Unknown
Data Sources & Types
• Too much time spent on data
discovery and preparation
• Too many silos with unclassified
and uncategorized data
• Last mile data delivery
challenges
1
Enabling Responsible
Data Use
• Only 33% of consumers believe
that personal data is being
used responsibly3
• Evolving regulatory policies
require ongoing investments
and effort to control access
• Manual governance does not
scale easily across data lakes
3
Improving Low Trust
in Data Accuracy
2
• Only 27% of data practitioners
completely trust their data1
• “Trust in data degrades as
it moves further away from
its origin”2
• Rigid, manual documentation-
based approaches do not scale
1. Source: Data Culture Survey, IDC December 2020, N=455, Data Trust Survey, IDC December 2021 N=500
2. Source: “In Data We Trust. Or Do We?”, Stewart Bond, IDC Directions Conference, March 2022
3. McKinsey, “A customer-centric approach to marketing in a privacy-first world”, May 2021

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Challenge 2:
Improving low trust
in data accuracy
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14 © Informatica. Proprietary and Confidential.
Challenges to Governing Master Data
Identifying Unknown
Data Sources & Types
• Too much time spent on data
discovery and preparation
• Too many silos with unclassified
and uncategorized data
• Last mile data delivery
challenges
1
Enabling Responsible
Data Use
• Only 33% of consumers believe
that personal data is being
used responsibly3
• Evolving regulatory policies
require ongoing investments
and effort to control access
• Manual governance does not
scale easily across data lakes
3
Improving Low Trust
in Data Accuracy
2
• Only 27% of data practitioners
completely trust their data1
• “Trust in data degrades as
it moves further away from
its origin”2
• Rigid, manual documentation-
based approaches do not scale
1. Source: Data Culture Survey, IDC December 2020, N=455, Data Trust Survey, IDC December 2021 N=500
2. Source: “In Data We Trust. Or Do We?”, Stewart Bond, IDC Directions Conference, March 2022
3. McKinsey, “A customer-centric approach to marketing in a privacy-first world”, May 2021

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Challenge 3:
Enabling responsible
data use
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How do you find
critical data, ensure it
is accurate, and deliver
it to data consumers
who need it most?
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Holistic Data Management Components
Data Profiling & Analysis
Data Catalog
Data Access
Data Enrichment
Data Integration
Data Governance
Master Data Management
Data Quality
Profile & Analyze data
Sources & Formats
Controlling Access & Data
Privacy in Analytics
Postal Validation & 3rd Party
Enrichment
Business Context, Catalog &
Metadata
Assimilating & Integrating
Disparate Data Sources
Data Usability & Accessibility
to Data Citizens
Data Standardization, Quality,
Monitoring & Dashboards
Data Stewardship & Single
Version of Truth

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Multiple starting points for driving value…
Common
Business
Understanding of
Business Terms
& Policies
Data
Lineage &
Provenance
Data Discovery
& Sensitivity
Classification
Data Quality
Monitoring &
Improvement
Data
Sharing
Governance
of Cloud DW/
Data Lakes
Catalog of
Catalogs
Data
Observability
Policy
Compliance
Data
Mastering
& Quality
Governance of
AI & Analytics —
Explainability
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18

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…and Achieving Your Business Outcomes
Trusted Business Reporting
(ESG, etc.)
Operational Efficiencies (Faster
Data Discovery/Onboarding)
Safer Migration of Sensitive
Data to the Cloud
Improved Customer
Experience Programs
Analytic Insights (Deliver
Better Products & Services)
Lower Risk Exposure During
Data Sharing
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How are you evolving
your data strategy…
What’s next?
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Empower Data-Driven Business Transformation
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MANAGE
Responsible Data Use
75%
Faster data
discovery and
preparation while
mitigating risk
SHARE
Trusted Data
50,000+
health care
professionals enabled
with trusted
data
ENABLE
Analytics and AI
95%
Reduction in
manual effort
to analyze
data

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Informatica World 2023
Learn more, network with peers, accelerate your data strategy!
Learn More: InformaticaWorld.com
• The cloud data management conference of the year!
• Featuring the brightest minds in cloud, data and AI
• Connect, network and learn latest cloud data management
strategies and best practices
• Realize the transformative power of how Informatica
brings your data to life

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Download the CDO Survey
CDO Insights 2023: How to Empower Data-Led Business Resiliency
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23
Discover why:
v 68% of data leaders have
identified data management as
a top priority
v 32% cite an incomplete view of
their data estate as a main
barrier to success
v 55% report managing 1,000+
sources of data
v 91% predict an increase
in data sources
v 52% say improved data
governance and associated
processes is a critical concern

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Where data comes to
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