---
title: "Building an Enterprise Data Management Strategy"
description: "Enterprise data management (EDM) is presented as an organizational capability for governing, integrating, securing, and operationalizing data across its lifecycle as volumes and regulatory scrutiny increase. The strategy addresses silos, inconsistent schemas, undocumented transformations, compliance exposure, and the difficulty of supporting analytics and AI across fragmented systems. It combines governance councils and ownership, automated profiling and quality thresholds, classification with RBAC and encryption, reusable ETL/ELT pipelines, lineage tracking, and architecture choices such as lakehouses and medallion patterns. Unity Catalog is described as a unified governance layer for reads and writes across open formats including Delta Lake and Apache Iceberg, while federation can provide access to external catalogs without copying data. Execution begins with cross-functional sponsorship, a high-impact pilot, measurable KPIs, and quarterly reviews; the source frames EDM as continuous rather than one-time work."
---

# Building an Enterprise Data Management Strategy

[Databricks](https://yomu.fyi/company/databricks) · Databricks Staff · Apr 21, 2026

**Type:** Explainer

## Summary

Enterprise data management (EDM) is presented as an organizational capability for governing, integrating, securing, and operationalizing data across its lifecycle as volumes and regulatory scrutiny increase. The strategy addresses silos, inconsistent schemas, undocumented transformations, compliance exposure, and the difficulty of supporting analytics and AI across fragmented systems. It combines governance councils and ownership, automated profiling and quality thresholds, classification with RBAC and encryption, reusable ETL/ELT pipelines, lineage tracking, and architecture choices such as lakehouses and medallion patterns. Unity Catalog is described as a unified governance layer for reads and writes across open formats including Delta Lake and Apache Iceberg, while federation can provide access to external catalogs without copying data. Execution begins with cross-functional sponsorship, a high-impact pilot, measurable KPIs, and quarterly reviews; the source frames EDM as continuous rather than one-time work.

## Context

Organizations face expanding data volumes, increasing regulatory scrutiny, fragmented systems, data silos, inconsistent schemas, undocumented transformations, and difficulty supporting analytics and AI use cases reliably across the enterprise.

## Approach / What changed

Build EDM as a continuous organizational capability combining governance, data ownership, quality management, security controls, reusable ETL and ELT pipelines, lineage tracking, suitable data architecture, measurable KPIs, executive sponsorship, and a focused pilot program.

## Takeaways

- Unity Catalog is described as a unified governance layer for reads and writes across open formats, including Delta Lake and Apache Iceberg, regardless of format or compute engine.
- A practical data quality program uses automated profiling, measurable quality thresholds, SLAs for high-priority datasets, and cleansing rules embedded in data engineering workflows.
- The proposed rollout starts with a cross-functional steering committee and a strategically important pilot small enough to show results within a quarter, followed by quarterly governance and metrics reviews.

**Tags:** [Data Governance](https://yomu.fyi/topic/data-governance), [Data Pipelines](https://yomu.fyi/topic/data-pipelines), [Data Quality](https://yomu.fyi/topic/data-quality), [Lakehouse](https://yomu.fyi/topic/lakehouse)

- Source: [Databricks](https://www.databricks.com/blog/building-an-enterprise-data-management-strategy)
- Source URL: https://www.databricks.com/blog/building-an-enterprise-data-management-strategy
- Ingested by Yomu: 2026-08-31T03:42:04.535Z

[Read original post](https://www.databricks.com/blog/building-an-enterprise-data-management-strategy)