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
81% interpret data incorrectly.
• 10% I do not know
• 9% never 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