What a metric catalog includes
A metric catalog goes beyond a list of numbers. It is the single source of truth for how each metric is defined and calculated, so decisions rest on numbers everyone trusts. Each entry typically includes:
Metric name: A concise, descriptive title.
Definition: A plain-language description of what the metric measures and why it matters.
Formula or calculation: The exact steps or query used to produce the value.
Data source: The tables, files, or services the metric draws from.
Metadata: The tags, owner, certification status, and refresh schedule.
With this information organized, teams avoid the confusion caused by duplicate or inconsistent metric definitions. Leaders can trust the values they see in reports and dashboards, and the people who maintain the numbers know the logic behind them.
A catalog also gives AI tools the business context they need. In an AI-ready setup, shared definitions help keep answers to natural-language questions consistent and grounded in your numbers.
Pro tip
Use consistent naming conventions and add tags for departments, owners, and business goals. This makes metrics easy to search and filter when your team builds dashboards.
Why metric catalogs matter
Without a metric catalog, teams risk inconsistent reporting, time lost reconciling versions of the same KPI, and less trust in the numbers. Leaders end up asking which number is right before they can decide anything.
A well-built catalog gives you:
Confidence in the numbers: Everyone works from the same definitions.
Faster answers: People find and reuse existing metrics instead of creating near-duplicates.
Clear ownership: Each metric has an owner and a certification status, so you know who to ask and which numbers to rely on.
Metric catalog in practice
Imagine your marketing and finance teams both track monthly recurring revenue (MRR). Without a catalog, marketing might calculate MRR from subscription orders while finance uses billing dates. The two numbers differ, and the leadership meeting turns into a debate about whose is right.
A metric catalog ensures both teams use the same MRR definition, drawn from the same source and certified by its owner. Monthly reports come together faster, and leaders can act on the number instead of questioning it.
What to look for in a metric catalog
When you evaluate or set up a catalog, check that it lets you:
See the metrics you have access to, with a quick view of value, trend, and refresh status.
Control access to metrics based on user role and permissions.
Mark which metrics are certified (approved for use).
Add and edit tags so metrics are easy to organize and search.
Related terms
What is a Key Performance Indicator (KPI)?
A key performance indicator (KPI) is a measurable value that shows how effectively your organization is achieving its most important objectives. Think of KPIs like the gauges on a car dashboard: each one gives you timely feedback so you can stay on course.
What is data governance?
Data governance is a formal framework of people, policies, and technology that keeps an organization's data accurate, secure, and usable. Think of it as the "Librarian" of a massive digital library: every piece of data is cataloged, protected, and accessible only to those with the right permissions. For a business leader, it sets the rules for who owns each number, so decisions rest on information you can trust and stay compliant with privacy regulations.
What is a knowledge graph?
A knowledge graph is a structured network that represents real-world entities (people, places, products, metrics) and the relationships between them. It adds context to data, so leaders and systems can make better-grounded decisions. This entry explains how knowledge graphs work, why they matter, where they are used, and what to consider before building one.
What is a measure?
A measure is a numeric value, such as a sum, average, or count, calculated from raw data to track and analyze performance. Measures turn raw data into numbers leaders can act on, and clear, consistent definitions keep everyone working from the same answer.
What is a metric tree?
A metric tree is a visual or conceptual model that maps how key business metrics relate to each other. It links a top-level outcome, like revenue or retention, to the drivers underneath that explain why it changed. You get a shared view of cause and effect, so your team can agree on what happened and what to do next.