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ENTERPRISE DATA GOVERNANCE

Enterprise data governance, without the overhead.

DataScarf keeps your data inventory, ownership, quality checks and issue management in one platform. Every check, assignment and resolution is recorded against the asset it concerns, so governance work stays visible without extra tooling.

Overview: the overall quality score with its 30-day trend and the areas that need attention.
  • ON-PREMISE OR YOUR CLOUD
  • READ-ONLY CONNECTIONS
  • DATA STAYS IN YOUR ENVIRONMENT

The questions a governance team is asked most often.

Most organizations answer them from spreadsheets, slide decks and memory. In DataScarf, each one has a screen where the answer is kept up to date.

Data Catalog: Each governed asset is listed with its data domain, database, schema, source, data steward and quality score.

Which figure is the right one?

Data CatalogThe same figure often sits in a warehouse table, an export and a spreadsheet. The catalog records each governed asset with its domain, source, steward and quality score, so reports are built from the registered version.Each governed asset is listed with its data domain, database, schema, source, data steward and quality score.

Who is accountable for this data?

Ownership & StewardshipOwners and stewards are assigned by data domain. Domains without a steward are flagged on the same screen, well before anyone has to ask.Domain Management shows the owner and steward for each domain, with each domain marked as covered or missing a steward.

Is our data quality improving?

Data Quality LabScheduled checks for required fields, duplicates and valid values produce a score for each quality dimension. The trend shows whether this quarter is better than the last.Trends plots the quality score over time, filtered by date range, quality dimension and data asset.

Do all teams use the same definitions?

Business GlossaryTerms such as Headcount or Full-Time Equivalent carry an approved definition, synonyms and a named owner, and are linked to the assets that hold the data.Glossary terms grouped by business area, each with its approval status (approved, in review or draft), synonyms and owner.

Can we show the governance history behind this data?

Asset recordEach governed asset keeps its classification, owners, quality check results and issue history in one record. When an auditor asks, the evidence is already in the platform instead of being rebuilt by hand.The record for Treasury Deposit Balances, with tabs for its columns, profile, quality results and health history.

How DataScarf fits together.

  1. DISCOVERCatalog governed assets and standardize business definitions.
  2. OWNAssign accountable owners and stewards.
  3. MEASURERun data quality checks and monitor trends.
  4. RESOLVEAssign issues and track them to closure.
ONE GOVERNED ASSET RECORD

Governance context, ownership, quality results, issues and evidence stay connected to the governed asset. Every answer starts from the same record.

  • Context
  • Ownership
  • Quality results
  • Issues
  • Evidence

From a questioned number to a closed issue.

A business lead questions a reported deposit balance. Here is how that question reaches a named owner and gets resolved, in 4 steps.

01 / 04

Works with the systems you already run.

DataScarf connects read-only to the sources you approve. Cataloging, checks and issue tracking run inside your environment, next to the systems they govern.

  • Snowflake
  • Databricks
  • BigQuery
  • Redshift
  • PostgreSQL

Your data stays in your environment.

  • 01On-premise deploymentDataScarf can be installed on your own infrastructure.
  • 02Your cloud accountOr deployed in a cloud account that your organization controls.
  • 03Read-only connectionsDataScarf reads only from the sources you approve.
  • 04Data stays inside your systemsYour data does not need to leave your environment.
YOUR ENVIRONMENTON-PREMISE | YOUR CLOUD ACCOUNT
  • Warehouse
  • Lakehouse
  • Databases
READ-ONLY, APPROVED SOURCES ↓
DataScarf governance layer
  • Catalog
  • Ownership
  • Quality
  • Issues
  • Evidence

Governance that grows with your data landscape.

BASE | TRUSTED-DATA FOUNDATIONS

Foundations for trusted data

€50,000/ year

An inventory of governed assets, named owners and measured quality, with issues tracked to resolution.

  • Data Catalog
  • Ownership & Stewardship
  • Governance Analytics
  • Data Quality Lab
  • Business Glossary
  • Health Center
PREMIUM | EXTENDED GOVERNANCE

Extended governance across more sources

€80,000/ year

Includes everything in Base, extended to more sources and deeper control.

  • Data Lineage
  • Multi-Source Governance
  • Data Observability
  • Access Visibility
  • Policy Management
  • AI Governance Assistant

Implementation and support

Cloud implementation, one-time
€10,000
On-premise implementation, one-time
€20,000

Ongoing support is available as a separate service.

Turn your data into trusted decisions.

Start with a live DataScarf demo. From there, we can review your data landscape and identify the right scope for a focused proof of concept.

Request a live demo

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THE FIRST 3 STEPS
  1. 1. Exploratory reviewWe look at which data sources are in use and how the architecture fits together, then agree which databases to connect first.
  2. 2. Connect and catalogDataScarf is deployed in your environment with read-only connections. Assets are cataloged, classified and given owners.
  3. 3. Measure and reviewChecks are set for your critical data elements. Once the first scores arrive, we review the findings and improvement priorities with your team.