"Data needs across campus are soaring, yet uncollected, inconsistent, and impossible to aggregate. Data silos are impairing decision-making and ultimately preventing institutions from progressing toward their strategic goals."
- EAB Study (June 7th, 2017)
What is a Data Dictionary?
A Data Dictionary is a repository of a data warehouse's metadata (data about data). This typically consists of metadata elements such as database schema, table names and definitions, column or row names, data types, lineage details, and more.
Why is a Data Dictionary important?
Maintaining a Data Dictionary guards against information inaccuracy by:
- Establishing a process for sustainable data quality
- Offering an online central repository of data definitions and reporting specifications
- Fostering a culture of transparency and cross-functional collaboration
- Clarifying and refining business processes
- Improving data validity and reliability
- Providing an impetus to continue dynamic, not static, discussions
- Facilitating the process to attain one data "language."
- Encouraging users to be the authority on data from their functional areas
Data Cookbook: the NEW Data Dictionary
Previously hosted as a page on the Business Intelligence site, Data Cookbook is Pepperdine's NEW Data Dictionary. A collaborative online data dictionary and data management solution, Data Cookbook is an established, well-supported tool for data governance that helps facilitate community knowledge and information sharing at Pepperdine. Stakeholders can click the logo below and sign in with their Wavenet credentials to access the full Data Cookbook.