I had so many more questions I wanted to talk about during my recent State of the Union of Data Modeling 2016, but one hour goes by quickly when you have tools, industry, professionals, standards and user groups to cover. I’m interested in your observations and comments about these questions:
- Has data modeling accomplished all it needs to? Are we just in the maintenance phase of data modeling as a practice and profession?
- What industry trends (tools, processes, methods, economics, whatever) are impacting (positive or negative) data modeling the most today?
- How has the cost of data modeling changed since 1980s?
- How has the return on data modeling changed since the 1980s?
- How has risk changed in data modeling since the 1980s?
- Data Modeling tools have so much maturity of features in them today. But along with that prices have reflected those changes. How have the prices of enterprise data modeling tools impacted data modeling on enterprise projects?
- Have you worked with any non-IDEF1x/IE data modeling notation recently?
- Have you worked with any open source data modeling tools?
- What new features/enhancements/changes would you like to see in data modeling tools? Processes? Notations?
- Why haven’t we solved the “no one loves me or my models” problem more widely?
I’ll add my thoughts on these in the comments, but I’d like to hear your responses as well.