Web Demonstration

Join us for a live web demonstration of the Data Cookbook. During this interactive session we will demonstrate major features, discuss how the Data Cookbook can help your institution, and provide an opportunity for questions and answers. Web demonstrations will be held at the following dates and times. Click on the link in the event title to register for a demo.

Note that "Achieving the Dream" demos are focused on how to use the Data Cookbook if you are participating in Achieving the Dream.

To arrange for a personal web demonstration of the Data Cookbook contact our sales team or book your own demonstration here:

Pre-recorded Demos

You can watch a pre-recorded demonstration in the following series of four videos:

Introduction and Workflow (1 of 4)9:28

Report Consumer and Knowledgebase (2 of 4)9:22

Report Request Process (3 of 4)9:53

Community (4 of 4)2:21

About the Data Cookbook (Short Video Overview)


Data Cookbook Features

The Data Cookbook includes approval, sharing and collaborating features that make the reporting process more efficient. Each university can create their own Data Cookbook account and maintain information on all of their reports and defined terms. The Data Cookbook guides users to enter all necessary information to be sure complete reporting requirements are captured.

This process is documented to show the evolution of term definitions, which creates a workflow that fosters collaboration between the requester, designer, developer and end user. To ensure that all term definitions meet institution standards, edits are only published with a data steward’s approval.

Once approved, these terms can be accessed and reused by the entire reporting community within an institution. If desired, an institution may flag terms they wish to make visible to the public. These public terms become a valuable resource for all institutions to share and agree on a consistent vocabulary for higher education data analysis.
  • Create a conversation over reporting requirements and data governance
  • Collaborate between Administration, IR, and IT
  • Place Importance on documenting the purpose of each report
  • Promote self-service reporting through better understanding of the data
  • Minimize multiple requests for the same data from different departments
  • Receive more accurate reports, the first time
  • Spend less time reworking and cleaning data
  • Enforce data governance with data steward approvals
  • Manage and Use a workflow system for data requests
  • Capture and document institutional data knowledge as reports are developed
  • Increase transparency and knowledge of the data and reporting process
  • Have detailed reporting specifications