21st-century data modeling is an agile function, one focused on an understanding of the organization’s data needs. Any organization that wants to use analytics effectively should embrace the best practices of data modeling to ensure the right data is available to the right people at the right times in the optimal format for analysis and decisions. This webinar will explain the stages of data modeling, offer some best practices for agile data modeling, and demonstrate how developing good data models can support effective analytics.
- Data Modeling and Data Architecture, and their roles in an organization’s enterprise data management program
- Stages of effective data modeling, and why they are all essential
- Best practices to ensure successful 21st century data modeling capabilities
- Tips on delivering data models that meet business and IT needs, especially for analytics