At its core, Data Governance (DG) is all about managing data with guidance. This immediately provokes the question: Would you tolerate any of your assets to be managed without guidance? (In all likelihood, your organization has been managing data without adequate guidance and this accounts for its current, less-than-optimal state.) This program provides a practical guide to implementing DG or recharging your existing program. It provides an understanding of what Data Governance functions are required and how they fit with other Data Management disciplines. Understanding these aspects is a prerequisite to eliminate the ambiguity that often surrounds initial discussions and implement effective Data Governance/Stewardship programs that manage data in support of organizational strategy. Delegates will understand why Data Governance can be tricky for organizations due to data’s confounding characteristics. This webinar will focus on four key DG elements:
- Keeping DG practically focused
- DG must exist at the same level as HR
- Gradually add ingredients (practicing and getting better)
- Data Governance in action: storytelling
2. 1 | Alation Confidential & Proprietary, Internal Use Only
Data Intelligence + Human Brilliance
Key Elements of a Successful Data
Governance Program
Opening Remarks
John Wills, Field CTO, Alation
3. 2 | Proprietary & Confidential
We focus on ‘Catalog Led Governance’
● Unlocking the value of data for a broad array of roles across the enterprise
● Creating a culture of empowerment, democratization, and self-perpetuating value
4. 3 | Proprietary & Confidential
We focus on guided stewardship and curation at scale
● The old, failed approach to governance was to put stewards in a no win position of
being responsible for the population, curation, and maintenance of all data assets
● Our approach pivots the role of stewards to enabling the crowd and guiding them on
the application of governance standards
Guided Community Driven
Social Collaboration
Centralized
Command & Control
5. 4 | Proprietary & Confidential
We focus on driving community adoption and participation
● Traditional governance programs struggle with being relevant as rank and file
information workers go about their daily work
● Alation provides an immersive environment where information worker can find,
understand, trust, collaborate, publish, and reuse data assets all while being guided
by governance policies and standards that are co-located with information about
these assets.
Example 1 - User Self-Service Example 2 - Community
Collaboration & Sharing
Example 3 - Stewards as Guides
6. 5 | Proprietary & Confidential
Active Data Governance: Prescriptive Approach
Monitor & Measure
• Determine policy conformance
• Create curation analysis
• Measure usage & asset creation
• Establish data quality
Establish Governance Framework
• Set mission & vision
• Create policies, standards & glossaries
Populate Data Catalog
• Ingest metadata (technical, business,
lineage)
• Analyze metadata (top users, popular
data)
Empower Data Stewards
• Recognize and assign stewards
• Automate stewardship processes
• Identify reviewers & workflow approvers
Curate Assets
• Describe data, apply quality flags
• Surface descriptions, quality, etc. to
users at point of data use
Apply Policies & Controls
• Implement policies & controls
• Enforce policies & controls
Drive Community Collaboration
• Promote trusted data use
• Leverage community knowledge
• Determine whether data is fit for
purpose / intended use
Supported by Alation Active Data Governance
Service Offering