Data Governance & AI Blog | Insights & Best Practices

Data Catalog Tools 2026

Data Catalog Tools for 2026

How acquisitions and the AI turn reshuffled the data catalog market in 2026, the four categories tools now fall into, and where each one fits on reach and cost.

Data CatalogAI & AI Governance

12 min read

AI on SharePoint

Why AI Can't Answer From Your SharePoint

Connect an AI assistant straight to SharePoint and it returns confident, wrong answers, because the documents are unstructured and ungoverned. Here is the fix.

AI & AI GovernanceData Governance

7 min read

Data Sovereignty

Data Sovereignty and the European Data Catalog

US data catalogs face CLOUD Act reach and shifting EU transfer rules. Why data sovereignty now shapes the catalog decision, and how to run one you control.

Regulatory & ComplianceData Governance

8 min read

Context Layer & Genie Ontology

Does a Standalone Context Layer Make Sense in the Era of Genie Ontology?

Databricks Genie Ontology is a real context layer. So why still run a standalone one? Two reasons: governed, owned definitions and cross-platform reach.

AI & AI GovernanceData Governance

7 min read

NIST AI RMF

NIST AI RMF for Models and AI Agents

How to apply the NIST AI Risk Management Framework to both AI models and autonomous agents, with practical implementation steps for each of the four functions.

AI & AI GovernanceRegulatory & Compliance

8 min read

DORA Compliance

Building DORA Compliance for Banking AI Agents in 2026

AI agents in banking are ICT systems under DORA. What 2026 enforcement, BaFin's AI guidance, and the first CTPP list mean, and the data governance agents need to comply.

Regulatory & ComplianceAI & AI Governance

8 min read

Semantic Layer Tools 2026

8 Semantic Layer Tools for BI and AI Agents in 2026

A guide to the semantic layer tools for BI and AI agents in 2026, from dbt, Cube, and AtScale to Snowflake and Databricks, plus the context layer that ties them together.

AI & AI GovernanceData Architecture

9 min read

MCP vs A2A

MCP vs A2A Protocol: What's the Difference?

MCP connects an agent to tools and data, A2A connects agents to each other. The real difference between the two protocols, how they compose, and the governance gap neither closes.

AI & AI GovernanceData Architecture

7 min read

Text-to-SQL

Why Text-to-SQL Breaks in the Enterprise

Text-to-SQL works in demos but breaks in the enterprise, not because the model can't write SQL, but because it doesn't know what your data means. The failure modes, and the fix.

AI & AI GovernanceData Architecture +1

8 min read

AI-Ready Data

What 'AI-Ready Data' Actually Means: A 7-Point Checklist

A concrete, measurable definition of AI-ready data: seven checks (cataloged, defined, classified, lineage-traced, quality-scored, owned, and MCP-accessible) and how to score each.

AI & AI GovernanceData Governance +1

9 min read

Context Engineering

Context Engineering for Enterprise AI: The Missing Layer

Context engineering decides what your AI sees before it answers. A guide to the layers, how it differs from prompt engineering and RAG, and why governed context is the missing piece.

AI & AI GovernanceData Governance

9 min read

Build a Context Layer

How to Implement an Enterprise Context Layer for AI

A step-by-step guide to implementing a context layer for AI: catalog, glossary, lineage, classification, MCP delivery, and lifecycle. Govern context once, serve it everywhere.

AI & AI GovernanceData Architecture

9 min read

Context Silos

Context Silos: Data Silos Reborn for the AI Era

Every AI tool, from Cortex to Genie to Frontier, builds its own ungoverned context. These context silos are the new data silos. How to govern context once and serve it everywhere.

AI & AI GovernanceData Architecture

7 min read

OpenAI Frontier

Getting OpenAI Frontier-Ready: A Governance Checklist

OpenAI Frontier lets agents act across your data. Frontier-readiness is data-governance readiness. A six-step checklist to govern context before you deploy agents.

AI & AI GovernanceData Governance

8 min read

EU AI Act Guide

How to Be Compliant and Ready for the EU AI Act: A 2026 Guide

The Omnibus pushed the EU AI Act's high-risk deadlines to 2027. A practical five-step guide to becoming AI Act-ready with Dawiso AI governance.

Regulatory & ComplianceAI & AI Governance

7 min read

Snowflake Cortex & Semantic Views

Govern Snowflake Cortex Agents and Semantic Views

Dawiso scans Snowflake Cortex agents and semantic views into interactive lineage, then generates governed semantic views back into Snowflake via OSI.

AI & AI GovernanceData Architecture +1

6 min read

Shadow AI

Shadow AI: The Ungoverned AI Tools Your Employees Already Use

Shadow AI - employees using unsanctioned AI tools - now drives data leaks and compliance gaps. How to find it, measure it, and govern it without banning AI.

AI & AI GovernanceData Governance

7 min read

Are You Governing AI Safely? AI Act, GDPR, Copyright, and Your Internal AI Policy

Governing AI safely means four things: classifying systems under the AI Act, reconciling AI with GDPR, handling copyright, and setting an internal AI policy.

AI & AI GovernanceRegulatory & Compliance

9 min read

AI Omnibus

The AI Omnibus: What Changed in the EU AI Act and What It Means for Your AI Strategy

The EU AI Omnibus delays high-risk AI Act deadlines to 2027 and 2028, adds new prohibitions, and simplifies compliance. What it changes for your AI strategy.

Regulatory & ComplianceAI & AI Governance

8 min read

BCBS 239, GDPR, and the Lineage Problem: Audit-Ready Data Governance in 2026

Three regulatory pressures, one capability gap. The practical playbook for end-to-end lineage, PII flow tracking, and audit-ready BCBS 239 evidence.

Regulatory & ComplianceData Governance

9 min read

10 Questions Every Executive Should Ask Before Scaling AI

Ten honest questions for executive teams scaling AI: ambition, ROI, foundations, governance, context, ownership, people, intent, autonomy, and what happens to the team on the other side.

AI & AI GovernanceData Governance

9 min read

The Build Threshold Just Moved: Helpdesk in 7 Days

We shipped our customer helpdesk in 7 days, paired with AI agents. RAG-grounded bot now answers in portal, email, and Slack. What that changes.

AI & AI GovernanceData Governance

9 min read

4 Weeks to Migrate. 2 Weeks to Replace How We Ship.

We rebuilt dawiso.com in 4 weeks. Two weeks later, marketing had replaced our planned CMS with branches, preview deploys, and AI skills.

AI & AI GovernanceData Governance

8 min read

Agentic AI and Metadata Governance: Why Your AI Agents Need Business Context to Deliver Results

AI agents are only as smart as the context they operate on. Learn the five metadata foundations every enterprise needs before deploying agentic AI at scale.

AI & AI GovernanceData Governance +1

9 min read

DORA Compliance and Data Governance: What Every Financial Institution Needs to Know

DORA enforcement is live. Discover how data lineage, asset inventories, and metadata governance help financial institutions meet the regulation's five core requirements.

Regulatory & ComplianceData Governance +1

10 min read

How We Went All-In on AI Agents at Dawiso

From ChatGPT experiments to company-wide AI adoption. How a team of ~40 broke their assumptions about AI through structured AHA sessions.

AI & AI Governance

12 min read

Power BI Visual-Level Lineage: Trace Data to Every Table or Chart

Power BI lineage usually stops where it starts getting interesting: at the report level. In this post, we go one step deeper — down to the individual visual.

Data CatalogData Architecture

8 min read

9 Financial Data Compliance Challenges Banks Must Solve in 2026

Banks face mounting regulatory pressure — discover the 9 data compliance hurdles that are tripping up financial institutions and how to overcome them.

Regulatory & ComplianceData Catalog +2

7 min read

Why 57% of Manufacturers Can’t See Their Supply Chain and How to Fix It

More than half of manufacturers lack full supply chain visibility. Find out what causes the blind spots and how data governance closes the gap.

Data CatalogAI & AI Governance +1

6 min read

The New AI Success Formula: Business Context Fueled By Automation

AI models are only as good as the context you give them. Discover how combining business semantics with automation unlocks reliable enterprise AI.

AI & AI Governance

6 min read

How RAG and Semantic Layers Work Together in Enterprise AI (with Dawiso Context Layer)

RAG alone isn’t enough for accurate enterprise AI. Learn how adding a semantic layer gives AI the business context it actually needs.

Business GlossaryAI & AI Governance

7 min read

RAG vs Semantic Layer: What’s the Difference?

Both promise smarter AI — but they solve different problems. A clear breakdown of when to use each and when to combine them.

Business GlossaryAI & AI Governance

5 min read

How Universities Can Effectively Manage Data and Meet New Cybersecurity Requirements

Higher education institutions hold sensitive data with minimal governance. Here’s how to build a compliant, resilient data framework.

Regulatory & ComplianceData Governance

6 min read

What Is a Semantic Layer and How Does It Help AI Understand Data

AI can process data fast, but can it understand what “revenue” means to your business? A semantic layer bridges raw data and business meaning.

Business GlossaryAI & AI Governance

5 min read

Agent Systems and Natural Language Query: The Two Major Directions Transforming AI and Data Management

AI agents and natural language queries are reshaping how teams interact with data. Explore the two trends every data leader needs to watch.

Data CatalogAI & AI Governance +1

7 min read

Contextual Metadata Layer for AI: Why Business Context Is the Key to Reliable AI

Most AI failures trace back to missing context. Here’s how a contextual metadata layer solves the problem at its root.

Regulatory & ComplianceData Catalog +2

6 min read

Why Robust Data Governance Is Essential for Unstructured Data

Documents, emails, reports — unstructured data is growing faster than anyone can catalog. Find out why governance frameworks must evolve to keep up.

Regulatory & ComplianceBusiness Glossary

6 min read

BCBS 239 Data Governance: 5 Data Catalogs to Support Risk Data Governance

BCBS 239 compliance isn’t just a checklist — it’s a stress test for your data architecture. See how five leading data catalogs measure up for banking.

Regulatory & Compliance

8 min read

Data Garbage In, AI Garbage Out: Why Governance Matters More Than Ever

Your AI is only as good as the data behind it. A direct look at how poor data quality sabotages AI investments and what governance can do about it.

Regulatory & Compliance

6 min read

Collibra Alternative: 6 Reasons Why Dawiso Is Better for Modern Data Governance

Collibra is powerful — but not always the right fit. Discover what’s driving companies to look for alternatives and how Dawiso addresses the gaps.

Regulatory & Compliance

7 min read

Data Ingestion Architecture in Dawiso Explained

Getting data from source to destination reliably is harder than it looks. A practical overview of Dawiso’s ingestion patterns for data engineers.

Regulatory & ComplianceData Architecture

6 min read

How Data Catalog Automation Saves Hours of Manual Work

Manually tagging and documenting data assets is a time sink that never ends. See how automation reclaims those hours while improving data quality simultaneously.

Business GlossaryData Catalog +1

5 min read

Comparing Collibra’s UX with the business-friendly alternative, Dawiso

A clunky interface is a governance killer — users avoid tools they find frustrating. An honest side-by-side of Collibra’s UX against Dawiso’s business-friendly design.

Business Glossary

7 min read

The Role of Data Catalogs in Modern Analytics and AI

Data catalogs have evolved from indexing tools to intelligence hubs. Understand how they fit the modern data stack and what separates good catalogs from great ones.

Business Glossary

5 min read

Adapt Data Governance to Your Organization’s Needs: Customizing Dawiso with Marketplace, Packages and Patch Packages

One-size-fits-all governance doesn’t work. Learn how to customize your framework for enterprise complexity without sacrificing usability.

Business GlossaryData Sharing

5 min read

The Complete Guide to MCP (Model Context Protocol)

MCP is becoming the standard for connecting AI agents to enterprise data. Everything you need to know about the protocol changing how AI accesses business context.

Data Catalog

8 min read

Why 95% of GenAI Pilots Fail: The Hidden Data Crisis Behind Enterprise AI Struggles

Impressive demos rarely survive contact with production. Unpack the real reasons GenAI projects stall and the data governance moves that get them to scale.

Data CatalogData Governance

7 min read

Total Cost of Ownership with Alation Pricing

Licensing costs are just the beginning. A detailed breakdown of Alation’s real total cost and how it compares to leaner modern alternatives.

Data CatalogData Governance

8 min read

Understanding the Data Product Lifecycle. How to manage data products in Dawiso?

Data products need more than a launch — they need maintenance, versioning, and retirement. A lifecycle framework for data-as-a-product teams.

Data Sharing

6 min read

What is Decentralized Data Architecture and How Do Data Products Fit In?

Centralised architectures are hitting their limits. Explore how decentralisation redistributes data ownership and speeds up decision-making across the organisation.

Data SharingData Architecture

6 min read

What Are Data Products and Why Does Your Business Need Them?

Data products are the building blocks of a data-driven organisation. A clear definition, real-world examples, and a roadmap for getting started.

Data Sharing

5 min read

Trends shaping data and analytics for 2025

AI agents, data contracts, regulatory pressure — 2025 is a pivotal year for data governance. The key trends every CDO should have on their radar.

Data Sharing

7 min read

How does data governance help you with data marts?

Data marts solve speed but introduce silos. Learn how data governance keeps mart proliferation under control while preserving business unit autonomy.

Data Sharing

5 min read

What Are the Differences Between OpenMetadata and Dawiso Data Catalog?

OpenMetadata is popular in the open-source world, Dawiso in enterprise. A detailed comparison to help you choose the right fit for your organisation.

Data Architecture

8 min read

Flexible Deployment for Data Governance: SaaS, On-Prem, and Hybrid

Deployment flexibility isn’t a nice-to-have in regulated industries — it’s a requirement. Compare the trade-offs and find the right model for your organisation.

Data Architecture

6 min read

How to Get an Overview of Your Database and Understand Data Flows

You can’t govern what you can’t see. A practical walkthrough for discovering, documenting, and understanding your full database landscape.

Data Architecture

5 min read

Challenges in Traditional Data Modeling and Dawiso’s Solutions

Traditional data modeling struggles to keep pace with modern analytics demands. An honest look at where classic approaches fall short and what to do instead.

Data Architecture

6 min read

What is a Knowledge Graph and why does it outperform Relationship Diagrams?

Knowledge graphs turn isolated data points into connected intelligence. Discover how they enhance AI accuracy and power smarter enterprise search and discovery.

Data Architecture

6 min read

Data lineage techniques. What is data lineage and what extraction methods do we use?

Knowing where data comes from is table stakes. This guide covers the full spectrum — from basic column-level tracking to end-to-end observability.

Data Architecture

8 min read

10 AI Risks in the Enterprise: Key Dangers and How to Manage Them

AI brings opportunity — and a new category of enterprise risk. Ten risks every leadership team must understand before scaling AI across the organisation.

AI & AI GovernanceData Governance +1

8 min read

Key Takeaways from the 2025 Gartner Data & Analytics Summit

What actually matters from this year’s Gartner summit? Insights that cut through the hype and carry real implications for your data strategy.

Data GovernanceAI & AI Governance

6 min read

AI Governance Blind Spot: The Hidden Risks of Model Reuse

Most AI governance frameworks focus on model risk — and ignore the data underneath. Here’s the blind spot that puts organisations at compliance risk without realising it.

AI & AI GovernanceRegulatory & Compliance

7 min read

How to Use AI in the Data Landscape: What Actually Works in 2025

AI can accelerate data work dramatically — or create a governance nightmare. A practical guide to integrating AI into data operations while staying in control.

AI & AI GovernanceData Catalog

7 min read

How to Choose the Right Data Catalog for Your Maturity Level

How to choose a data catalog that fits your governance maturity: what to evaluate, why many rollouts stall, and when to start rather than overbuy.

Data CatalogData Governance

10 min read

BCBS 239 in 2025: Why Now is the Time to Strengthen Compliance

BCBS 239 has been in force for years, yet many banks still struggle. A sharp look at the most common compliance failures and how to avoid them in 2025.

Regulatory & Compliance

7 min read

10 Essential AI Governance Questions for Board Members

Boards are responsible for AI risk, but most lack the vocabulary to ask the right questions. Ten questions every board member should be able to answer.

AI & AI GovernanceRegulatory & Compliance

6 min read

EU AI Act Compliance Deadlines: What Businesses Need to Know and How to Prepare

The EU AI Act is now in force. This guide maps the requirements to your team’s responsibilities and explains what you need to have in place right now.

Regulatory & ComplianceAI & AI Governance

8 min read

What do banks need to know in 2025? And why BCBS 239 is more relevant than ever

Banking regulators are raising the bar on data standards. A concise brief on the regulatory landscape and where most banks currently fall short.

Regulatory & Compliance

6 min read

What is Data Reconciliation? Achieve Consistency and Trust with a Data Catalog

Discrepancies between systems erode trust in data. Understand data reconciliation and how to build it into your governance process with a data catalog.

Data GovernanceData Catalog

5 min read

Where does your data come from and go? A guide to data lineage with tips to maximize value

Provenance isn’t just an audit concept — it’s foundational to AI trustworthiness. A practical guide to tracking and communicating data origins.

Data Architecture

7 min read

What is data governance maturity and how to measure it?

Where does your organisation stand on the governance maturity curve? A framework for honest self-assessment and a roadmap for moving to the next level.

Data Governance

6 min read

What are data silos and shadow IT? Break it down for data-driven success

Data silos cost organisations millions in duplicated effort and missed opportunities. Understand their root causes and the governance approaches that actually dissolve them.

Data GovernanceData Architecture

5 min read

What is a data warehouse? The central repository for your data

Data warehouses have evolved dramatically in the cloud era. A clear-eyed look at what modern warehouses offer and when alternatives make more sense.

Data Architecture

5 min read

How to Improve Data and Business Literacy in your Company?

Data literacy isn’t just for analysts. Discover how building company-wide data fluency creates better decisions at every level of the organisation.

Data Governance

6 min read

Dawiso Blog

Data Catalog Tools for 2026

Why AI Can't Answer From Your SharePoint

Data Sovereignty and the European Data Catalog

Does a Standalone Context Layer Make Sense in the Era of Genie Ontology?

NIST AI RMF for Models and AI Agents

Building DORA Compliance for Banking AI Agents in 2026

8 Semantic Layer Tools for BI and AI Agents in 2026

MCP vs A2A Protocol: What's the Difference?

Why Text-to-SQL Breaks in the Enterprise

What 'AI-Ready Data' Actually Means: A 7-Point Checklist

Context Engineering for Enterprise AI: The Missing Layer

How to Implement an Enterprise Context Layer for AI

Context Silos: Data Silos Reborn for the AI Era

Getting OpenAI Frontier-Ready: A Governance Checklist

How to Be Compliant and Ready for the EU AI Act: A 2026 Guide

Govern Snowflake Cortex Agents and Semantic Views

Shadow AI: The Ungoverned AI Tools Your Employees Already Use

Are You Governing AI Safely? AI Act, GDPR, Copyright, and Your Internal AI Policy

The AI Omnibus: What Changed in the EU AI Act and What It Means for Your AI Strategy

BCBS 239, GDPR, and the Lineage Problem: Audit-Ready Data Governance in 2026

10 Questions Every Executive Should Ask Before Scaling AI

The Build Threshold Just Moved: Helpdesk in 7 Days

4 Weeks to Migrate. 2 Weeks to Replace How We Ship.

Agentic AI and Metadata Governance: Why Your AI Agents Need Business Context to Deliver Results

DORA Compliance and Data Governance: What Every Financial Institution Needs to Know

How We Went All-In on AI Agents at Dawiso

Power BI Visual-Level Lineage: Trace Data to Every Table or Chart

9 Financial Data Compliance Challenges Banks Must Solve in 2026

Why 57% of Manufacturers Can’t See Their Supply Chain and How to Fix It

The New AI Success Formula: Business Context Fueled By Automation

How RAG and Semantic Layers Work Together in Enterprise AI (with Dawiso Context Layer)

RAG vs Semantic Layer: What’s the Difference?

How Universities Can Effectively Manage Data and Meet New Cybersecurity Requirements

What Is a Semantic Layer and How Does It Help AI Understand Data

Agent Systems and Natural Language Query: The Two Major Directions Transforming AI and Data Management

Contextual Metadata Layer for AI: Why Business Context Is the Key to Reliable AI

Why Robust Data Governance Is Essential for Unstructured Data

BCBS 239 Data Governance: 5 Data Catalogs to Support Risk Data Governance

Data Garbage In, AI Garbage Out: Why Governance Matters More Than Ever

Collibra Alternative: 6 Reasons Why Dawiso Is Better for Modern Data Governance

Data Ingestion Architecture in Dawiso Explained

How Data Catalog Automation Saves Hours of Manual Work

Comparing Collibra’s UX with the business-friendly alternative, Dawiso

The Role of Data Catalogs in Modern Analytics and AI

Adapt Data Governance to Your Organization’s Needs: Customizing Dawiso with Marketplace, Packages and Patch Packages

The Complete Guide to MCP (Model Context Protocol)

Why 95% of GenAI Pilots Fail: The Hidden Data Crisis Behind Enterprise AI Struggles

Total Cost of Ownership with Alation Pricing

Understanding the Data Product Lifecycle. How to manage data products in Dawiso?

What is Decentralized Data Architecture and How Do Data Products Fit In?

What Are Data Products and Why Does Your Business Need Them?

Trends shaping data and analytics for 2025

How does data governance help you with data marts?

What Are the Differences Between OpenMetadata and Dawiso Data Catalog?

Flexible Deployment for Data Governance: SaaS, On-Prem, and Hybrid

How to Get an Overview of Your Database and Understand Data Flows

Challenges in Traditional Data Modeling and Dawiso’s Solutions

What is a Knowledge Graph and why does it outperform Relationship Diagrams?

Data lineage techniques. What is data lineage and what extraction methods do we use?

10 AI Risks in the Enterprise: Key Dangers and How to Manage Them

Key Takeaways from the 2025 Gartner Data & Analytics Summit

AI Governance Blind Spot: The Hidden Risks of Model Reuse

How to Use AI in the Data Landscape: What Actually Works in 2025

How to Choose the Right Data Catalog for Your Maturity Level

BCBS 239 in 2025: Why Now is the Time to Strengthen Compliance

10 Essential AI Governance Questions for Board Members

EU AI Act Compliance Deadlines: What Businesses Need to Know and How to Prepare

What do banks need to know in 2025? And why BCBS 239 is more relevant than ever

What is Data Reconciliation? Achieve Consistency and Trust with a Data Catalog

Where does your data come from and go? A guide to data lineage with tips to maximize value

What is data governance maturity and how to measure it?

What are data silos and shadow IT? Break it down for data-driven success

What is a data warehouse? The central repository for your data

How to Improve Data and Business Literacy in your Company?