2021 State of Data Governance Report

This latest report shows that advancing data governance is a top-5 organizational priority, and the discipline has reached a new level of maturity but bottlenecks and challenges remain. It also looks at the connections between data governance, data operations and data protection.

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Data Vault Automation with erwin and Snowflake

This white paper discusses how to build and automate a scalable data warehouse based on Data Vault 2.0.

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Enterprise Architecture – Setting Transformation-Focused Priorities

This white paper examines the three top priorities for enterprise architecture and those architects who want to lead digital transformation efforts.

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The Evolving Role of the CDO at Financial Organizations: 2021 Chief Data Officer (CDO) Study

This new e-guide for financial services organizations discusses data management and governance strategies for compliance and overall business improvement.

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Meeting the Data-Related Challenges of Cloud Migration

This white paper examines how to simplify and accelerate the move to cloud platforms and the governance of cloud data assets.

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The Value of Robust Data Intelligence to Enable Data Governance

In this business value white paper, IDC explores the value of data intelligence to help organizations synthesize information, improve their capacity to learn, and automate insights at scale. Organizations using the erwin Data Intelligence Suite for data governance were interviewed as part of this research and provide their views about benefits and gains.

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Achieving Success in Enterprise Architecture

This peer paper is based on real reviews of erwin Evolve submitted to IT Central Station, with users discussing the role of enterprise architecture in building an adaptive enterprise.

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Data Modeling Made Simple with erwin Data Modeler

Jeff Harris and Steve Hoberman explain data modeling and how to get up and running with erwin DM. Step by step, business analysts, data professionals and project managers will learn how to build effective conceptual, logical and physical data models.

Complete the stages in identifying essential business requirements, designing the logical data model, transposing those logical modeling objects into physical tables and columns, and even generating the implementation database scripts.


About the Authors

Jeff Harris is principal data architect for a Fortune 200 company. He has more than30 years of IT experience, specializing in data modeling and data architecture for 20+ years. He has used erwin DM to work on global projects for large corporations in the banking, government, logistics, retail, freight and petroleum industries.

Steve Hoberman has trained more than 10,000 people in data modeling since 1992. Steve is known for his ability to translate business requirements into technical specifications. He is the author of nine books on data modeling, including the bestsellers Data Modeling Made Simple and The Rosedata Stone. One of Steve’s frequent data modeling consulting assignments is to review data models using his Data Model Scorecard® technique.


Master erwin DM to deliver robust and precise designs for both operational and analytical projects.

Save 20% on the print, PDF or print/PDF bundle with coupon code erwinDM.

Data Governance Preparedness

This white paper explores the importance of data literacy and intelligence and how the right data governance platform, including a modern data catalog, is essential to organizations in preparing for and recovering from a crisis.

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Enterprise Architecture & Innovation Management

This book, written by enterprise architecture (EA) experts Martin Owen and Alan Burnett, explores innovation management and the role of enterprise architecture for managing ideation through implementation.

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