 |
erwin, Inc., the Data Governance Company, provides a robust unified software platform combining data governance, enterprise architecture, business process and data modeling. Delivered as a SaaS solution, these technologies work together to unlock data as a strategic asset so all enterprise stakeholders can discover, understand, govern and socialize data to mitigate risk, improve organizational performance and accelerate growth. For more than 30 years, erwin has been the most trusted name in data modeling and its software foundational to mission-critical data programs in government agencies, leading financial institutions, retailers and healthcare companies around the world.
The erwin Data Modeler is an industry-leading data modeling solution that enables companies to create and maintain enterprise data models, data warehouses and databases – helping them to effectively manage their data and properly align their information infrastructure with the business it supports. ADRM Software has enjoyed a long and mutually beneficial partnership with the erwin team to help ensure that the erwin Data Modeler continues to meet the growing and evolving data modeling and metadata management needs of ADRM's customers, who are typically large, progressive, data-driven organizations.
|
 |
Founded in 1975, Microsoft is the leading platform and productivity company for the mobile-first, cloud-first world, and its mission is to empower every person and every organization on the planet to achieve more.
For almost a decade now, ADRM Software has partnered with Microsoft teams in the Americas, Europe and the Middle East, and Australia and New Zealand, to make large-scale industry-specific data models available, across many different industries, to help our mutual customers accelerate their large-scale data-driven initiatives, while also significantly reducing risk and benefiting from best practices and lessons learned by other similar large organizations. Our joint customers are able to capitalize on Microsoft's rich data platform to deploy large-scale data solutions on premise, in the cloud, and in hybrid configurations. |
