The Business Value of Data Modeling
erwin Data Modeler (DM) initially made its mark by optimizing schema design and automating the generation of the resulting data definition language. But an erwin data model can deliver even more business value by increasing the ROI of your data modeling efforts and optimizing key aspects of the data management and data governance lifecycle.
In this session, we will cover these aspects of the erwin DM value proposition:
• Governing the data definition and design process across the enterprise
• Accelerating and enhancing the documentation and socialization of enterprise data assets
• Reducing time-consuming and costly data source analysis tasks for high-impact, data-intensive initiatives
• Underpinning and accelerating the creation of your metadata management and data governance frameworks
Danny Sandwell is an IT industry veteran with 30 years of experience. As a senior product marketing manager 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.