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Past Event

An Essential Source of Metadata and a Critical Enabler for Data Intelligence

January 15, 2020
11:00 AM EDT

Data modeling is a proven technology for lowering data management costs, reducing data-related risks, and improving the quality and agility of an organization’s overall data capability.

It’s also the foundation of enterprise metadata management and data/governance intelligence efforts because it provides:

  • Metadata and schema visualization to mitigate complexity and increase collaboration and literacy across a broad range of data stakeholders
  • The creation and integration of business and semantic metadata to augment and accelerate data intelligence and governance efforts
  • Design task automation and standardization to improve business alignment, ensure data integrity and simplify integration.

Thus in this era of modern data-driven business, the role of data modeling has expanded beyond database professionals and developers. Its benefits now can be realized by a wide range of architects, business analysts and data administrators to support a variety of data-centric initiatives.

Join us for this webinar with Danny Sandwell, erwin’s Director of Product Marketing, as he introduces you to the new and updated capabilities of erwin DM 2020 R1 and discusses how data modeling can create greater organizational value.

After registering, you will receive a confirmation email with information about joining the webinar.

Original Air Date – 1/15/20. Click the Register button to view the recording.

About your speaker:

Danny SandwellDirector of Product Marketing

Danny Sandwell is an IT industry veteran with 30 years of experience. As Director of Product Marketing for erwin, Inc., he is responsible for the development and delivery of the company’s data modeling solutions to meet evolving customer needs. During Danny’s 16 years with the company, he also has worked in pre-sales consulting, business development, and business strategy roles – all giving him deep insight into a broad range of issues facing organizations as they plan, develop, and manage their data architectures. His goal is to help enterprises unlock the value of their data assets to produce results against strategic business objectives.