The question is asked all the time: “What part of the organization should own your Data Governance program?” The typical answers are “the business” and “IT (information technology).” Another answer to that question is “Yes.” The program must be owned and reside somewhere in the organization. You may ask yourself if there is a correct answer to the question.
Join this new RWDG webinar with Bob Seiner where Bob will answer the question that is the title of this webinar. Determining ownership of Data Governance is a vital first step. Figuring out the appropriate part of the organization to manage the program is an important second step. This webinar will help you address these questions and more.
In this session Bob will share:
- What is meant by “the business” when it comes to owning Data Governance
- Why some people say that Data Governance in IT is destined to fail
- Examples of IT positioned Data Governance success
- Considerations for answering the question in your organization
- The final answer to the question of who should own Data Governance
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Building the
source of truth for
enterprise data
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<insert date>
Quest Data Intelligence
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quest.com | confidential
To succeed, an enterprise must trust it’s data
Access Visibility Capability Culture
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Requirements to establish trust in a data-driven
approach to business
Increasing data
literacy & usage
• Navigation
• Insights
• Preparation
Optimizing Data
Driven Opportunities
Safeguarding your
organization’s data
• Privacy
• Compliance
• Policy & Rules
Mitigating Data
Related Risks
Assuring data
platform agility
• Automation
• Lifecycle Management
• Self-Service
Increasing the
quality of data
• Measuring
• Monitoring
• Remediation
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Defining Data Intelligence
Connects every critical piece of the data
management and governance lifecycle.
Provides visibility and insights so enterprises
can understand and trust their data for faster
speed to value.
Data Governance and Intelligence is a $20+ Billion (USD)
market and will grow at 13.6% between 2022-2026
Source: Research and Markets
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Standard Data Connectors Smart Data Connectors
A U T O M A T I O N
Data Intelligence
erwin Data Literacy
Flexible framework
Business glossary
Interactive mind maps
AI-Match to catalog
Business-friendly search
Governance workflows
Social collaboration
… and more
erwin Data Catalog
Auto-scan metadata
Metadata versioning
Auto-document mappings
Dynamic data lineage
Reference data
Impact analysis
Dashboarding
… and more
erwin Data Quality
• Data Quality Visibility
• Automated data
profiling
• Data quality scoring
• Quality observability
• Quality rule deployment
• Data remediation
• ML based tuning
• … and more
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Enable Stakeholders with Visibility, Automation, Governance
and Collaboration to Optimize Your Enterprise Data Capability
Harvest Curate Govern Activate Socialize
Analyst Developer Architect Engineer
Data Stakeholders Data Steward Data Scientist Data Owner
And more…
…
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quest.com | confidential
Data
Stewardship
Data Visibility
& Insights
Data Literacy
& Ideation
Data Intelligence
Solutions to complement your existing ecosystem and multiply its value
Curation
Classification
Governance
Data Lineage
Impact Analysis
Architecture
Discover & Navigate
Data Communities
Self-Service
Data Quality
KPIs/Metrics
Profiling
Remediation
Data
Compliance
Sensitive Data
Regulatory Tagging
Audit Response
Data Pipeline
Optimization
Data Modeling
Automation
Data Preparation
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Why Quest for Data Intelligence?
Proven
products and
solutions
Trusted partner
to global
organizations
Clear vision
aligned with IT
priorities