Main features of erwin Data Modeler are:
The main benefits of erwin Data Modeler are its powerful capabilities for data modeling and similar tasks and it also provides collaboration tools. Here are more details:
Boosts the Effectiveness of Data Modeling
erwin Data Modeler uses integrated conceptual, physical and logical models in order to combine the views of business and technical data assets. This results in the deliverance of a detailed platform that helps in coordinating a consistent and global view of data from any location across the users’ organization. By providing visibility into where and how data should be used as a key factor of a central repository, it improves data governance’s effectiveness.
Analysis criteria and reusable designs can be implemented by the system since it breaks down organizational and technology silos. This also simplifies the modeling process and data definition management. All this could result in minimizing the threats of multifaceted data-driven initiatives, optimizing innovation, and lowering the costs of data management.
The system also features database and model comparison tools which help in the automation of bi-directional synchronization of models, databases, and scripts. This feature makes a comparison of an item to the other and then displays their difference. The system is also capable of importing and exporting data from many different sources such as MDM hubs and Big Data platforms.
Provides Collaboration Tools
erwin Data Modeler empowers users to make collaborative models that feature conflicting resolutions. This way, team members will find it easier to coordinate with each other more efficiently via concurrent model access, multi-user resolution, and independent model merge.
The following erwin Data Modeler integrations are currently offered by the vendor:
erwin Data Modeler pricing is available in the following plans: