Customer Data Discovery: Find and understand customer data across all your systems

Use a shared business glossary and catalog to quickly locate customer data across all databases and understand how to use it correctly.

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National Film Board of Canada
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Find customer data in seconds, not hours

Customer data is spread across CRMs, billing systems, data warehouses, and data lakes. Dataedo brings it together in one searchable catalog linked to a shared business glossary, so everyone can quickly find the right tables and know exactly what each field means.

The challenge

Unclear source of truth

Unclear source of truth

Teams often don’t know which system holds the “right” customer information, leading to uncertainty and delays in analysis.

Confusing columns

Confusing columns

Columns like customer_id, cust_id, or client_id create ambiguity, making it hard to join tables correctly and trust results.

Dependence on senior team members

Dependence on senior team members

New analysts frequently rely on experienced colleagues to navigate complex or legacy schemas, slowing onboarding and productivity.

Misunderstood fields

Misunderstood fields

Incorrect interpretations of fields can result in wrong joins, inaccurate reports, and misleading business insights.

How Dataedo helps

Import metadata
from all customer-related systems

Connect to your CRM, billing, support, and warehouse databases. Automatically pull in tables, columns, keys, and relationships. Organize them into domains and data products like "Customer 360."

Import metadata<br>from all customer-related systems

Build a shared business glossary
for customer concepts

Use Business Glossary to define terms like Customer, Active Customer, Churned Customer, and Account in business language. Link each term to the physical tables and columns where it's implemented.

Build a shared business glossary<br>for customer concepts

Enrich technical metadata
with clear descriptions

Add explanations to confusing table and column names. Mark primary keys, foreign keys, and important relationships. Use tags (e.g., "Master," "Reference") to highlight the most important datasets.

Enrich technical metadata<br>with clear descriptions

Enable self-service discovery
in the catalog

Publish to the Dataedo Web Portal so users can search by business term ("Customer") and jump straight to relevant data assets. Show definitions and usage guidelines alongside the technical schema.

Enable self-service discovery<br>in the catalog

What you get

Faster data discovery

Faster data discovery

Locate the right customer data in seconds, reducing time spent searching across multiple systems and sources.

Fewer mistakes

Fewer mistakes

Ensure analysts use the correct tables and joins from the start, minimizing errors and improving data accuracy.

Shared understanding

Shared understanding

Create a common language between business and technical users so everyone interprets data consistently and confidently.

Key features
Business Glossary

Business Glossary

Centralize all business terms and definitions in one place so teams consistently understand key concepts. Link terms to datasets, track updates over time, and ensure everyone interprets customer data the same way.

Knowledge Base

Knowledge Base

Organize your data into subject areas like Customer 360, Billing, or Support. Provide context, guidelines, and best practices so teams can quickly find and correctly use the data they need.

Data Catalog

Powerful search

Search across all your customer data using business terms, technical names, or tags. Instantly find the right tables, columns, and definitions, reducing time spent navigating complex systems.

FAQs

What is customer data discovery and why is it important?
Customer data discovery is the process of finding, understanding, and organizing all customer-related data across systems like CRMs, billing platforms, data warehouses, and data lakes. It helps teams reduce errors, save time, and make data-driven decisions with confidence.
How does a data catalog support customer data discovery?
A data catalog centralizes metadata from all systems, documenting tables, columns, relationships, and keys. It makes it easy for analysts, business users, and data engineers to find the right data quickly and understand how it’s used.
How does customer data discovery support self-service analytics?
By making datasets, definitions, and lineage easy to find, business users can explore and analyze data independently, reducing reliance on IT teams and accelerating data-driven decisions.
How does customer data discovery support compliance with regulations like GDPR and CCPA?
By cataloging all customer data, tracking lineage, and classifying sensitive information such as PII, Dataedo ensures you know where personal data resides and how it’s used. This makes it easier to meet GDPR, CCPA, and other privacy regulations, document compliance, and respond to audits or data subject requests.
Why our customers love Dataedo?
Piotr Kononow

Piotr Kononow

Founder

Find customer data in seconds, not hours

Explore Dataedo through a preconfigured data catalog with sample data, try it with your own data during a 14-day free trial, or book a demo.