
Top 3 Pillars Used To Build Data Trust In Data Governance 📚 Table of Contents
- 1️⃣ Introduction to Data Governance
- 2️⃣ Why It Matters
- 3️⃣ Beginner Principles
- 4️⃣ Governance Framework & Podcasts
- 5️⃣ Free Resources & Newsletter
- 6️⃣ Final Takeaway
Data Governance for Beginners
Data governance covers the policies, processes, and responsibilities that guide how data is collected, stored, used, and protected.
It answers questions like: ✅ Who owns this data? ✅ Is it accurate? ✅ Who can access it? It’s not just an IT thing — it’s an organizational effort.
🛠️ Why It Matters (Even for Beginners)
- Better decisions
- Stronger compliance
- Higher data quality
- Increased trust across teams
- Fewer errors — and fewer surprises
- Reduces expenditure/less overhead costs
If you’re working with customer data, reports, analytics, or AI models… this matters.
🪜 The 4 Essentials Every Beginner Should Know
1️⃣ Data Ownership:
Assign someone responsible for the accuracy and use of key datasets.
2️⃣ Data Quality Rules:
Define what “good data” means — complete, valid, consistent, and timely.
3️⃣ Access Controls:
Ensure the right people can view or edit the right data.
4️⃣ Documentation & Standards:
Keep records of definitions, processes, and data flows.
🎧 Governance Framework & Podcasts
Podcast: Building Trust In Data Governance (Infoverity)
Audio Video Podcast: 3 Pillars of Data Trust in Data Governance (DataViz Explorer)
📰 Free Resources & Newsletter
Newsletter edition: Download PDF
🚀 Final Takeaway
Data governance isn’t about control — it’s about Empowering teams with trusted data so they can work smarter. Start small, build consistency, and let governance grow with the organization.
Comment “GUIDE” if you want a free beginner-friendly data resource sent to your inbox.
— DataViz Explorer Team
#DataGovernance #DataManagement #DataQuality #BusinessIntelligence #Analytics #DataStrategy #DigitalTransformation #DataSecurity #BeginnerFriendly #LinkedInCreators #DataCommunity #GovernanceFramework
Sources: IBM → IBM | Infoverity → Infoverity | Dataversity → Dataversity














