We are excited to announce the acquisition of Casewise, a leading provider of business process modeling solutions. Click here to read our press release, issued this afternoon. Organizations have massive amounts of data scattered throughout their enterprise and often struggle to see this data in the context of where and how it’s being used by…

Whether a collection of data could be useful to a business, is all just a matter of perspective. We can view data in its raw form like a tangled set of wires, and for them to be useful again, they need to be separated. We’ve talked before about how Data Modeling, and Enterprise Architecture can…

In a recently hosted podcast for Enterprise Management 360˚, Donna Burbank spoke to several experts in data modeling and asked about their views on some of today’s key enterprise data questions.

Due to the adoption of data-driven business, organizations across the board are facing their own enterprise data dilemmas. This week erwin announced its acquisition of metadata management and data governance provider AnalytiX DS. The combined company touches every piece of the data management and governance lifecycle, enabling enterprises to fuel automated, high-quality data pipelines for…

The ability to more efficiently govern, discover and protect sensitive data is something that all prospering data-driven organizations are constantly striving for. It’s been almost four months since the European Union’s General Data Protection Regulation (GDPR) took effect. While no fines have been issued yet, the Information Commissioner’s Office has received upwards of 500 calls…

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…

Data preparation is notorious for being the most time-consuming area of data management. It’s also expensive. “Surveys show the vast majority of time is spent on this repetitive task, with some estimates showing it takes up as much as 80% of a data professional’s time,” according to Information Week. And a Trifacta study notes that…