For more information, please refer to Whitepaper : Is your Data Modeling Workflow Agile or Fragile? .
- Whitepaper: Agile Data Modeling: Not an Option, but Essential
- Whitepaper: Enterprise Data Modeling for Business Intelligence Applications
- Whitepaper: Improve Your Data Modeling Skills
- Whitepaper: Is your Data Modeling Workflow Agile or Fragile?
- Whitepaper: Mastering Data Modeling for Master Data Domains
- Whitepaper: Model Behavior: An Introduction to Data Models
- Whitepaper: The ROI of Data Modeling
- Webcast: A Perfect Ten: The Data Model
- Webcast: A Photographer and a Data Modeler Walk Into a Bar…
- Webcast: Agile Data Management vs. Agile Data Modeling
- Webcast: Becoming a Better Data Modeler: Part 1 (Data Modeling Certification)
- Webcast: Becoming a Better Data Modeler: Part 2 (Faulty Design Patterns)
- Webcast: Data Modeling and Blockchain
- Webcast: The Importance of Data Model Change Management
- Webcast: You’ve Just Inherited a Data Model – Now What?
- Webcast: Principles of Data Modeling
- Webcast: Put Together the Pieces of your Data Model Puzzle
- Webcast: SQL Server Data Modeling Best Practices
- Infographic: Improve Your Data Modeling Skills
Data modeling and collaboration: Insights for business and data professionals
Business stakeholders make decisions with misunderstood or incorrect data.
75% use wrong data
- 12% I do not know
- 13% never use wrong data
- 10% I do not know
- 9% never interpret data incorrectly
81% interpret data incorrectly.
Communication gaps affect data quality.
- Only 45% include data modeling team in time to influence development.
- 28% document the data model after applications are complete.
- 25% data modeling team finds out too late.
- 3% After decisions have been made that cannot be changed.
Better understanding data models means better data.
Application and data quality would increase if developers understood data modeling better. Yes 95%. No 5%.
Agile data modeling enables:
- 95% see benefits in agile data modeling.
- 52% increase data accuracy and integrity.
- 51% better collaboration between data modelers and developers
- 49% Improved consistency across applications using the same data models as a basis
- 45% Better communication with business stakeholders and alignment to business objectives
- 43% Improve alignment throughout the organization by increasing sharing of models and metadata
- 38% Better solution delivery performance
- 37% Increased productivity be creating and tracking data modeling tasks
- 34% Better visibility into backlog of change requests
Survey by: dimensional research
Topics : Data Modeling,Enterprise Architecture,Metadata,
Products : ER/Studio Data Architect,ER/Studio Enterprise Team Edition,
Data Modeling and Collaboration with ER/Studio
IDERA ER/Studio Enterprise Team Edition is a powerful modeling and metadata collaboration solution that helps you create an enterprise data architecture foundation for your data governance initiatives. With ER/Studio you can document your enterprise architecture with business processes, entities, and data flows that accurately represent your organization and its priorities. These can serve as the basis for enabling data quality and data governance programs.
IDERA ER/Studio is able to capture business terms and their definitions in a central metadata repository where key stakeholders can access and contribute to corporate knowledge and make it easier for business and IT professionals to collaborate on the enterprise data architecture for better visibility and consistency. Learn More at →