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Data catalog

From scattered metadata to a shared, trusted knowledge layer

The DataGalaxy data catalog is your centralized, collaborative inventory of data assets enriched with ownership, definitions, lineage, and trust indicators.

Self-service of trusted data

Workspace V1 Quick filters Watched Yes Technology Looker Type Table Type Column Type Data Set Owners – Stewards – Exact marches 1 Term Article All results 13 Term Article General description Name (Item) Term Article General description Weight Term Article Internal data Production Site Type Business term article

Help teams find the right data

Empower business users and analysts to explore trusted datasets, dashboards, and KPIs through a catalog that connects technical assets to business meaning.

With integrated glossary terms, ownership, and classification, teams get what they need without relying on Slack threads or compromising control.

Multilingual AI business glossary

Term Customers Customer Active Customer Status Proposed Owner Lea Gomez Stewards Marty Sanchez General Description – Suggested description An Active Customer of a company is someone who regularly purchases a product from that company and is expected to purchase at least once every 21 months. These customers are key contributors to the company’s revenue, so the company strives to retain them by enhancing their experience and offering discounts. Here are the characteristics of an Active Customer: Active payment customer Actual customer activity can be measured Customer whose registration remains active Dismiss Accept suggestion Tags Marketing Salesforce Sensitive data Details Linked objects Implementation Lineage

Know who owns what, without chasing answers in Slack

Support consistent understanding across global teams with multilingual glossary terms, definitions, and metadata.

Glossary content can be auto-generated and enriched using AI to simplify documentation at scale. With content surfaced in multiple languages, teams stay aligned across regions, making governance smoother and more scalable.

Automated column-level lineage

Dataset API Library (Customer dat Customer API Dataset Data Products Library Customer 360 [Da Table Grand Parent Power BI Rep Account management Monthly Superstore Sa Table Consuming Manufacturing Marketing App Client Dashboard 360 Client churn pre Process DataSets Client DataS Anonymization DB Enterprise DWH… Sale Client_ID Us.Field Data Science Team ALGO Client Churn Process DataSets Client Data… ActivFlagMod DB Chem Substance repo Substance Nam Table Grand parent Salesforce Customer_data ActiveFlag Cust_BirtDate Cust_ID Cust_Mail Cust_Name Cust_Phone Data quality Warning DB Oracle Transat Table Redshift wareho App Producing Domains Sales Dashb. Solvency II Reporting S.22.01.04 – Impa

See where your data comes from and where it goes

Deliver an intuitive, user-friendly experience that helps teams visualize how data flows from source to insight. Column-level lineage is automatically mapped across tools, making it easy to run root cause and impact analyses.

Understand dependencies, spot anomalies faster, and keep changes under control, without the technical headache.

Campaign-based governance

Campaigns Critical data certification +2 Assignees Running Pause Stop Settings Scope 10 Supervision Objects Status Stewards Owners Children Term CX Common data Client name In Validation Loic Bois Lea Gomez 0 Universe CX Common Data In Validation Loic Bois Lea Gomez 5 Term CX Common data Company Name In Revision Loic Bois Lea Gomez 0 Value CX Common data terms of sa Contrat Client In Revision Loic Bois Lea Gomez 0 Ref.data CX Common data Customer Contract type In Revision Loic Bois Lea Gomez 0 Concept CX Customer Customer data In Revision Loic Bois Lea Gomez 4 Search…

Campaigns turn governance into a collaborative, goal-driven process

Launch targeted initiatives, like documentation of critical data elements, cleanups, ownership validation, or quality checks by assigning clear tasks, timelines, and responsibilities.

Track progress in real time, follow up with contributors, and ensure your governance efforts actually move forward. No more static rules, just active, structured participation.

Business knowledge into your daily flow

Recently viewed by you ReportSales General Tags Admin CRM Product Summary The engagement life cycle is the process that describes the stages of interaction between a business and its customers or users, from the initial contact through to long-term relationship management. It typically includes stages like awareness, onboarding, active use, retention, and loyalty. Description The is the journey between a user and a brand. It includes : – discovering the brand – evaluating its value – getting started – regular use – staying satisfied – promoting the brand engagement life cycle complete six key stages AwarenessConsiderationOnboardingEngagementRetentionAdvocacy Overview Lineage Linked objects Term Data Product Marketplace Engagement lifecycle Statut Validated Owner Lea Gomez Stewards Marty Sanchez, Jane Doe

Bring data context into the tools your teams already use

Access definitions, owners, and trust indicators directly from your dashboards, BI tools, or browser without switching platforms.


With the browser extension and Slack & Teams integrations, DataGalaxy delivers business context in the analysis flow, improving understanding and accelerating decisions.

Everything you need to get started

70+ connectors

Data quality & observability monitoring

AI Chatbot

Entity relationship diagrams

Google like search

Collaboration tools

80%

of self-service time is spent preparing data

70%

faster asset delivery with active metadata

25%

of organizations now prioritize cataloging in data strategies

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