All articles
Practical guidance on marketing data standards, taxonomy, measurement, and AI readiness — from the team behind Claravine.
All articles
Data Governance Framework: Components, Models, and Where They Fail
A governance framework names owners, definitions, standards and enforcement per data domain. Here are the components, the models, and where they fail.
What Is Data Quality Management? Dimensions, Practices, and Where Marketing Data Breaks
Data quality management keeps data accurate, complete, consistent and valid. Here's how it works, and where marketing data breaks the standard model.
What Is a Data Dictionary? Definition, Examples, and How to Build One
A data dictionary defines every field in your data: what it means, what values are allowed, and who owns it. Here's how to build one.
What Is utm_id, and When Should You Use It?
utm_id identifies a campaign so analytics can join it to cost data. Here's how it differs from the other UTM parameters — and why an arbitrary ID is worse.
URL Query Parameters: What They Are and How Marketing Teams Use Them
What query parameters are, how they're structured, and the nine ways marketing teams use them — from campaign tracking to personalization.
Metadata Management Tools: Categories, Trade-offs, and How to Choose
Metadata management tools fall into three categories that answer different questions. Here's how to tell which one fits the problem you actually have.
Marketing Taxonomy: How to Build One That Survives
A marketing taxonomy is the agreed structure for classifying and naming marketing data. Here's how to build one, and why most are abandoned within a year.
Data Integrity: What It Means, and Where Marketing Data Loses It
Data integrity is the assurance that data stays complete and accurate over its lifetime. Here's how it differs from data quality, and where marketing loses it.
Data Governance: What It Is, and What It Means for Marketing Data
Data governance is the rules, roles and controls that make data trustworthy. Here's what a program contains — and what changes for marketing data.
What Are Marketing Operations? Role, Responsibilities, and Structure
Marketing operations is the function that makes marketing run — process, tooling, data and measurement. Here's what the role owns and how teams are structured.
UTM Parameters: What They Are and How to Keep Them Consistent at Scale
What each UTM parameter does, how to build tagged URLs, and how enterprise teams stop tagging drift before it breaks attribution.
What Is Metadata? Definition, Types, and Real Examples
Metadata is data that describes other data. Here are the three main types, real examples, and why it decides whether your reporting works.
Get marketing data insights in your inbox
Practical guidance on standards, taxonomy, and AI readiness — once a month, from the team behind Claravine.