SlideShare a Scribd company logo
1 of 25
Download to read offline
March 2023
Data at the Speed of Business
with Data Mastering and Governance
Where data comes to
Welcome!
3 © Informatica. Proprietary and Confidential.
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
4 © Informatica. Proprietary and Confidential.
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
5 © Informatica. Proprietary and Confidential.
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
6 © Informatica. Proprietary and Confidential.
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
7 © Informatica. Proprietary and Confidential.
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?
8 © Informatica. Proprietary and Confidential.
What are your
business
imperatives?
8 © Informatica. Proprietary and Confidential.
9 © 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
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
11 © Informatica. Proprietary and Confidential.
Challenge 1:
Identifying data
sources and types
11 © Informatica. Proprietary and Confidential.
12 © 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
13 © Informatica. Proprietary and Confidential.
Challenge 2:
Improving low trust
in data accuracy
13 © Informatica. Proprietary and Confidential.
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
15 © Informatica. Proprietary and Confidential.
Challenge 3:
Enabling responsible
data use
15 © Informatica. Proprietary and Confidential.
16 © Informatica. Proprietary and Confidential.
How do you find
critical data, ensure it
is accurate, and deliver
it to data consumers
who need it most?
16 © Informatica. Proprietary and Confidential.
© Informatica. Proprietary and Confidential.
17
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
18 © Informatica. Proprietary and Confidential.
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
© Informatica. Proprietary and Confidential.
18
19 © Informatica. Proprietary and Confidential.
…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
© Informatica. Proprietary and Confidential.
19
20 © Informatica. Proprietary and Confidential.
How are you evolving
your data strategy…
What’s next?
20 © Informatica. Proprietary and Confidential.
21 © Informatica. Proprietary and Confidential.
Empower Data-Driven Business Transformation
21
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
22 © Informatica. Proprietary and Confidential.
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
23 © Informatica. Proprietary and Confidential.
Download the CDO Survey
CDO Insights 2023: How to Empower Data-Led Business Resiliency
© Informatica. Proprietary and Confidential.
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
Thank you for joining
Connect with us to start a conversation…
Where data comes to
Where will
you start?

More Related Content

What's hot

The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
DATAVERSITY
 

What's hot (20)

Make Data Work for You
Make Data Work for YouMake Data Work for You
Make Data Work for You
 
Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogActivate Data Governance Using the Data Catalog
Activate Data Governance Using the Data Catalog
 
Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)
 
Data Governance
Data GovernanceData Governance
Data Governance
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best Practices
 
Implementing Effective Data Governance
Implementing Effective Data GovernanceImplementing Effective Data Governance
Implementing Effective Data Governance
 
8 Steps to Creating a Data Strategy
8 Steps to Creating a Data Strategy8 Steps to Creating a Data Strategy
8 Steps to Creating a Data Strategy
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
 
Data Quality & Data Governance
Data Quality & Data GovernanceData Quality & Data Governance
Data Quality & Data Governance
 
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
 
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
 
State of Data Governance in 2021
State of Data Governance in 2021State of Data Governance in 2021
State of Data Governance in 2021
 
Data strategy demistifying data
Data strategy demistifying dataData strategy demistifying data
Data strategy demistifying data
 
Building an integrated data strategy
Building an integrated data strategyBuilding an integrated data strategy
Building an integrated data strategy
 
Data Governance
Data GovernanceData Governance
Data Governance
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
DAS Slides: Data Governance - Combining Data Management with Organizational ...
DAS Slides: Data Governance -  Combining Data Management with Organizational ...DAS Slides: Data Governance -  Combining Data Management with Organizational ...
DAS Slides: Data Governance - Combining Data Management with Organizational ...
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
Data Architecture Strategies: Data Architecture for Digital Transformation
Data Architecture Strategies: Data Architecture for Digital TransformationData Architecture Strategies: Data Architecture for Digital Transformation
Data Architecture Strategies: Data Architecture for Digital Transformation
 
Graph Databases – Benefits and Risks
Graph Databases – Benefits and RisksGraph Databases – Benefits and Risks
Graph Databases – Benefits and Risks
 

Similar to Data at the Speed of Business with Data Mastering and Governance

Similar to Data at the Speed of Business with Data Mastering and Governance (20)

Slides: Taking an Active Approach to Data Governance
Slides: Taking an Active Approach to Data GovernanceSlides: Taking an Active Approach to Data Governance
Slides: Taking an Active Approach to Data Governance
 
Data2030 Summit MEA: Data Chaos to Data Culture March 2023
Data2030 Summit MEA: Data Chaos to Data Culture March 2023Data2030 Summit MEA: Data Chaos to Data Culture March 2023
Data2030 Summit MEA: Data Chaos to Data Culture March 2023
 
Data2030 Summit Data Megatrends Turner Sept 2022.pptx
Data2030 Summit Data Megatrends Turner Sept 2022.pptxData2030 Summit Data Megatrends Turner Sept 2022.pptx
Data2030 Summit Data Megatrends Turner Sept 2022.pptx
 
Deliver Data Governance with a “Yes”
Deliver Data Governance with a “Yes”Deliver Data Governance with a “Yes”
Deliver Data Governance with a “Yes”
 
Delivering data governance with a Yes
Delivering data governance with a YesDelivering data governance with a Yes
Delivering data governance with a Yes
 
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsData Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and Forwards
 
Slides: Empowering Data Consumers to Deliver Business Value
Slides: Empowering Data Consumers to Deliver Business ValueSlides: Empowering Data Consumers to Deliver Business Value
Slides: Empowering Data Consumers to Deliver Business Value
 
The value of big data analytics
The value of big data analyticsThe value of big data analytics
The value of big data analytics
 
Data Governance and Data Science to Improve Data Quality
Data Governance and Data Science to Improve Data QualityData Governance and Data Science to Improve Data Quality
Data Governance and Data Science to Improve Data Quality
 
Closing the Governance Gap - Enabling Governed Self-Service Analytics
Closing the Governance Gap  - Enabling Governed Self-Service AnalyticsClosing the Governance Gap  - Enabling Governed Self-Service Analytics
Closing the Governance Gap - Enabling Governed Self-Service Analytics
 
The Role of Metadata in a Data Governance Program
The Role of Metadata in a Data Governance ProgramThe Role of Metadata in a Data Governance Program
The Role of Metadata in a Data Governance Program
 
Perspectives on Ethical Big Data Governance
Perspectives on Ethical Big Data GovernancePerspectives on Ethical Big Data Governance
Perspectives on Ethical Big Data Governance
 
DAS Slides: Data Governance and Data Architecture – Alignment and Synergies
DAS Slides: Data Governance and Data Architecture – Alignment and SynergiesDAS Slides: Data Governance and Data Architecture – Alignment and Synergies
DAS Slides: Data Governance and Data Architecture – Alignment and Synergies
 
Enterprise Data Management Enables Unique Device Identification (UDI)
Enterprise Data Management Enables Unique Device Identification (UDI)Enterprise Data Management Enables Unique Device Identification (UDI)
Enterprise Data Management Enables Unique Device Identification (UDI)
 
Emerging Data Quality Trends for Governing and Analyzing Big Data
Emerging Data Quality Trends for Governing and Analyzing Big DataEmerging Data Quality Trends for Governing and Analyzing Big Data
Emerging Data Quality Trends for Governing and Analyzing Big Data
 
Best Practices in Metadata Management
Best Practices in Metadata ManagementBest Practices in Metadata Management
Best Practices in Metadata Management
 
From Data Chaos to Data Culture
From Data Chaos to Data CultureFrom Data Chaos to Data Culture
From Data Chaos to Data Culture
 
Data Innovation Summit: Data Integrity Trends
Data Innovation Summit: Data Integrity TrendsData Innovation Summit: Data Integrity Trends
Data Innovation Summit: Data Integrity Trends
 
From Compliance to Customer 360: Winning with Data Quality & Data Governance
From Compliance to Customer 360: Winning with Data Quality & Data GovernanceFrom Compliance to Customer 360: Winning with Data Quality & Data Governance
From Compliance to Customer 360: Winning with Data Quality & Data Governance
 
Data Governance in the Big Data Era
Data Governance in the Big Data EraData Governance in the Big Data Era
Data Governance in the Big Data Era
 

More from DATAVERSITY

Data Strategy Best Practices
Data Strategy Best PracticesData Strategy Best Practices
Data Strategy Best Practices
DATAVERSITY
 
Assessing New Database Capabilities – Multi-Model
Assessing New Database Capabilities – Multi-ModelAssessing New Database Capabilities – Multi-Model
Assessing New Database Capabilities – Multi-Model
DATAVERSITY
 
Achieving a Single View of Business – Critical Data with Master Data Management
Achieving a Single View of Business – Critical Data with Master Data ManagementAchieving a Single View of Business – Critical Data with Master Data Management
Achieving a Single View of Business – Critical Data with Master Data Management
DATAVERSITY
 

More from DATAVERSITY (20)

Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
 
Exploring Levels of Data Literacy
Exploring Levels of Data LiteracyExploring Levels of Data Literacy
Exploring Levels of Data Literacy
 
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling Fundamentals
 
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectShowing ROI for Your Analytic Project
Showing ROI for Your Analytic Project
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
 
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?
 
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayData Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement Today
 
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics
 
Data Strategy Best Practices
Data Strategy Best PracticesData Strategy Best Practices
Data Strategy Best Practices
 
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?
 
Data Management Best Practices
Data Management Best PracticesData Management Best Practices
Data Management Best Practices
 
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageMLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive Advantage
 
Empowering the Data Driven Business with Modern Business Intelligence
Empowering the Data Driven Business with Modern Business IntelligenceEmpowering the Data Driven Business with Modern Business Intelligence
Empowering the Data Driven Business with Modern Business Intelligence
 
Including All Your Mission-Critical Data in Modern Apps and Analytics
Including All Your Mission-Critical Data in Modern Apps and AnalyticsIncluding All Your Mission-Critical Data in Modern Apps and Analytics
Including All Your Mission-Critical Data in Modern Apps and Analytics
 
Assessing New Database Capabilities – Multi-Model
Assessing New Database Capabilities – Multi-ModelAssessing New Database Capabilities – Multi-Model
Assessing New Database Capabilities – Multi-Model
 
What’s in Your Data Warehouse?
What’s in Your Data Warehouse?What’s in Your Data Warehouse?
What’s in Your Data Warehouse?
 
Achieving a Single View of Business – Critical Data with Master Data Management
Achieving a Single View of Business – Critical Data with Master Data ManagementAchieving a Single View of Business – Critical Data with Master Data Management
Achieving a Single View of Business – Critical Data with Master Data Management
 
The ABCs of Treating Data as Product
The ABCs of Treating Data as ProductThe ABCs of Treating Data as Product
The ABCs of Treating Data as Product
 
Data Management, Metadata Management, and Data Governance – Working Together
Data Management, Metadata Management, and Data Governance – Working TogetherData Management, Metadata Management, and Data Governance – Working Together
Data Management, Metadata Management, and Data Governance – Working Together
 

Recently uploaded

Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
amitlee9823
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
amitlee9823
 
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
amitlee9823
 
Probability Grade 10 Third Quarter Lessons
Probability Grade 10 Third Quarter LessonsProbability Grade 10 Third Quarter Lessons
Probability Grade 10 Third Quarter Lessons
JoseMangaJr1
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts ServiceCall Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
CHEAP Call Girls in Rabindra Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Rabindra Nagar  (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Rabindra Nagar  (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Rabindra Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
amitlee9823
 
➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men 🔝malwa🔝 Escorts Ser...
➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men  🔝malwa🔝   Escorts Ser...➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men  🔝malwa🔝   Escorts Ser...
➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men 🔝malwa🔝 Escorts Ser...
amitlee9823
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
amitlee9823
 
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men 🔝Bangalore🔝 Esc...
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men  🔝Bangalore🔝   Esc...➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men  🔝Bangalore🔝   Esc...
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men 🔝Bangalore🔝 Esc...
amitlee9823
 
Mg Road Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Banga...
Mg Road Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Banga...Mg Road Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Banga...
Mg Road Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Banga...
amitlee9823
 
➥🔝 7737669865 🔝▻ Thrissur Call-girls in Women Seeking Men 🔝Thrissur🔝 Escor...
➥🔝 7737669865 🔝▻ Thrissur Call-girls in Women Seeking Men  🔝Thrissur🔝   Escor...➥🔝 7737669865 🔝▻ Thrissur Call-girls in Women Seeking Men  🔝Thrissur🔝   Escor...
➥🔝 7737669865 🔝▻ Thrissur Call-girls in Women Seeking Men 🔝Thrissur🔝 Escor...
amitlee9823
 
Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
 

Recently uploaded (20)

Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Bommasandra Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
 
Capstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics ProgramCapstone Project on IBM Data Analytics Program
Capstone Project on IBM Data Analytics Program
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
 
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK
DATA SUMMIT 24  Building Real-Time Pipelines With FLaNKDATA SUMMIT 24  Building Real-Time Pipelines With FLaNK
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK
 
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
 
Probability Grade 10 Third Quarter Lessons
Probability Grade 10 Third Quarter LessonsProbability Grade 10 Third Quarter Lessons
Probability Grade 10 Third Quarter Lessons
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts ServiceCall Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
 
CHEAP Call Girls in Rabindra Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Rabindra Nagar  (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Rabindra Nagar  (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Rabindra Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
 
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceBDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
 
➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men 🔝malwa🔝 Escorts Ser...
➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men  🔝malwa🔝   Escorts Ser...➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men  🔝malwa🔝   Escorts Ser...
➥🔝 7737669865 🔝▻ malwa Call-girls in Women Seeking Men 🔝malwa🔝 Escorts Ser...
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Anomaly detection and data imputation within time series
Anomaly detection and data imputation within time seriesAnomaly detection and data imputation within time series
Anomaly detection and data imputation within time series
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
 
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men 🔝Bangalore🔝 Esc...
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men  🔝Bangalore🔝   Esc...➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men  🔝Bangalore🔝   Esc...
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men 🔝Bangalore🔝 Esc...
 
Mg Road Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Banga...
Mg Road Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Banga...Mg Road Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Banga...
Mg Road Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Banga...
 
Cheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 night
Cheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 nightCheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 night
Cheap Rate Call girls Sarita Vihar Delhi 9205541914 shot 1500 night
 
➥🔝 7737669865 🔝▻ Thrissur Call-girls in Women Seeking Men 🔝Thrissur🔝 Escor...
➥🔝 7737669865 🔝▻ Thrissur Call-girls in Women Seeking Men  🔝Thrissur🔝   Escor...➥🔝 7737669865 🔝▻ Thrissur Call-girls in Women Seeking Men  🔝Thrissur🔝   Escor...
➥🔝 7737669865 🔝▻ Thrissur Call-girls in Women Seeking Men 🔝Thrissur🔝 Escor...
 
Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Surabaya ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 

Data at the Speed of Business with Data Mastering and Governance

  • 1. March 2023 Data at the Speed of Business with Data Mastering and Governance
  • 2. Where data comes to Welcome!
  • 3. 3 © Informatica. Proprietary and Confidential. 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
  • 4. 4 © Informatica. Proprietary and Confidential. 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
  • 5. 5 © Informatica. Proprietary and Confidential. 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
  • 6. 6 © Informatica. Proprietary and Confidential. 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
  • 7. 7 © Informatica. Proprietary and Confidential. 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?
  • 8. 8 © Informatica. Proprietary and Confidential. What are your business imperatives? 8 © Informatica. Proprietary and Confidential.
  • 9. 9 © 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
  • 10. 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
  • 11. 11 © Informatica. Proprietary and Confidential. Challenge 1: Identifying data sources and types 11 © Informatica. Proprietary and Confidential.
  • 12. 12 © 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
  • 13. 13 © Informatica. Proprietary and Confidential. Challenge 2: Improving low trust in data accuracy 13 © Informatica. Proprietary and Confidential.
  • 14. 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
  • 15. 15 © Informatica. Proprietary and Confidential. Challenge 3: Enabling responsible data use 15 © Informatica. Proprietary and Confidential.
  • 16. 16 © Informatica. Proprietary and Confidential. How do you find critical data, ensure it is accurate, and deliver it to data consumers who need it most? 16 © Informatica. Proprietary and Confidential.
  • 17. © Informatica. Proprietary and Confidential. 17 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
  • 18. 18 © Informatica. Proprietary and Confidential. 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 © Informatica. Proprietary and Confidential. 18
  • 19. 19 © Informatica. Proprietary and Confidential. …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 © Informatica. Proprietary and Confidential. 19
  • 20. 20 © Informatica. Proprietary and Confidential. How are you evolving your data strategy… What’s next? 20 © Informatica. Proprietary and Confidential.
  • 21. 21 © Informatica. Proprietary and Confidential. Empower Data-Driven Business Transformation 21 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
  • 22. 22 © Informatica. Proprietary and Confidential. 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
  • 23. 23 © Informatica. Proprietary and Confidential. Download the CDO Survey CDO Insights 2023: How to Empower Data-Led Business Resiliency © Informatica. Proprietary and Confidential. 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
  • 24. Thank you for joining Connect with us to start a conversation…
  • 25. Where data comes to Where will you start?