erwin Data Modeling provides a collaborative data modeling environment to manage enterprise data through an intuitive, graphical interface. With a centralized view of key data definitions, you can have a better understanding of corporate data, managed in a more efficient and cost-effective way.
erwin Data Modeler is an industry-leading data modeling solution that provides a simple, visual interface to manage your complex data environment. The erwin Data Modeler family of products is made up of a number of distinct editions that are designed to meet the needs of a variety of audiences... Read More
The erwin Web Portal provides a simple, customizable, web-based interface that allows both business and technical users across the organization to easily visualize the important metadata information that is stored in erwin Data Modeler and beyond. While only certain users will want to view or... Read More
erwin Safyr Option extracts metadata from a variety of ERP applications — including SAP R/3, SAP BW, Oracle PeopleSoft Enterprise, Oracle JD Edwards Enterprise One, Oracle Siebel and Oracle eBusiness Suite. It enables you to translate the often-challenging naming conventions these system use... Read More
This report from EMA examines how the world of data management is evolving, and the importance of data models in that evolution. In the past, data management consisted of well-groomed data ingested into structured databases consistent with operational support or prescribed analytical data... Read more
Read our newly sponsored TechDossier from InfoWorld on dealing with big data. Considering just how big today’s burgeoning repositories of insight-laden analytical data are, it’s only natural to assume that governing them poses a whole new kind of challenge. To tackle a job that great, businesses... Read more
Developing an enterprise data model is a good first step toward instituting a data governance program and can provide the business with a detailed, yet holistic view of its most valuable asset—its data. Sadly, though, many companies often fail to take this step, undermining their data governance... Read more