IDC explores the value of data intelligence to help organizations synthesize information, improve their capacity to learn, and automate insights at scale.
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.
Jeff Harris and Steve Hoberman explain data modeling and how to get up and running with erwin DM to build effective conceptual, logical and physical data models.
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.
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.
A follow-up to our first study two years ago, the 2020 State of Governance and Automation report explores how data governance attitudes and practices have evolved and where companies stand in automating the processes critical to uncovering insights for optimal decision-making and therefore data intelligence.
Learn how to wring all the value possible from data about your data, including what to look for in tools to automate and accelerate the speed to meaningful insights for better decision-making.
Enterprise architecture can be more strategic and impactful when used to dynamically link data assets and business processes, applications and infrastructure for faster, more accurate decision-making. To do EA right, you need the right tools for communication and collaboration with the business.
This paper by David Loshin explores the benefits and common challenges of data lineage, plus using a data catalog approach to produce it with greater ease and effectiveness.
