erwin Automation Framework: Achieving Faster Time-to-Value in Data Preparation, Deployment and Governance

Data governance is more important to the enterprise than ever before. It ensures everyone in the organization can discover and analyze high-quality data to quickly deliver business value. It assists in successfully meeting increasingly strict compliance requirements, such as those in the General Data Protection Regulation (GDPR). And it provides a clear gauge on business […]

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. The list goes on and on. And then, the European Union’s General Data Protection Regulation (GDPR) took effect, […]

Data governance (DG) is becoming more commonplace because of data-driven business, yet defining DG and putting into sound practice is still difficult for many organizations. The absence of a standard approach to defining DG could be down to its history of missed expectations, false starts and negative perceptions about it being expensive, intrusive, impeding innovation and […]

Data governance continues to evolve – and quickly. Historically, Data Governance 1.0 was siloed within IT and mainly concerned with cataloging data to support search and discovery. However, it fell short in adding value because it neglected the meaning of data assets and their relationships within the wider data landscape. Then the push for digital transformation and […]

  In modern, data-driven busienss, it’s integral that organizations understand the reasons for bad data and how best to address them. Data has revolutionized how organizations operate, from customer relationships to strategic decision-making and everything in between. And with more emphasis on automation and artificial intelligence, the need for data/digital trust also has risen. Even […]

Data governance (DG) is one of the fastest growing disciplines, yet when it comes to defining data governance many organizations struggle. Dataversity says DG is “the practices and processes which help to ensure the formal management of data assets within an organization.” These practices and processes can vary, depending on an organization’s needs. Therefore, when […]

There are many factors driving data governance adoption, as revealed in erwin’s State of Data Governance Report. Over the coming weeks, we’ll be exploring them in detail, starting with regulatory compliance. By Michael Pastore Almost every organization views data governance as important, so why don’t they all have it in place? Modern organizations run on […]

The five pillars of data governance readiness should be the starting point for implementing or revamping any DG initiative. In a recent CSO Magazine article, “Why data governance should be corporate policy,” the author states: “Data is like water, and water is a fundamental resource for life, so data is an essential resource for the […]

Facebook’s data woes continue to dominate the headlines and further highlight the importance of having an enterprise-wide view of data assets. The high-profile case is somewhat different than other prominent data scandals as it wasn’t a “breach,” per se. But questions of negligence persist, and in all cases, data governance is an issue. This week, […]

The Facebook scandal has highlighted the need for organizations to understand and apply the five pillars of data governance readiness. All eyes were on Mark Zuckerberg this week as he testified before the U.S. Senate and Congress on Facebook’s recent data drama. A statement from Facebook indicates that the data snare was created due to […]