See the Data Cookbook in Action

Learn More about the Data Cookbook

Additional Features Planned for 2017


Data Quality Module

Optional module (separately purchased) that will enable you to document data quality rules (functional and technical details) including valid value lists as well as managing data quality issue resolution.
Data Quality Rules can be connected to Definitions.  New workflows are available for the approval of data quality rules as well as the resolution of data quality issues.

With the IDataHub Integration Suite,
valid value lists can be kept in synch with your data systems and data quality rules can be executed and validated on your data systems, with issues being reported back through the data quality issue resolution workflow.

Key Features

• Ensure that your validation rules and quality checks are documented and connected with your business glossary.
• These rules are reviewed and approved by stewards. Provide a workflow for reporting and resolving data quality issues that involve your data governance structures.
• Integrate with your data systems using the IDataHub to exercise the quality rules and push any exceptions in to the workflow for resolving quality issues.

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Extended Data Systems

Optional module (separately purchased) that will enable you to provide detailed technical documentation, including a visual representation of the data model, for all data systems within your organization.  Track owners, access, security rules and other hard to find information on all data systems.  Connect your current technical definitions to points in the data model and other attributes of the data system.  Provides a workflow for resolution of impact of any changes of the data model.

With the IDataHub Integration Suite, the technical metadata can be kept in synch with your actual databases, automating the analysis of the impact of change and alerting you from unplanned changes in the underlying data systems.

Key Features

• Increase the value of your business glossary by relating it directly to the data model of your source systems.
• Visualize your data systems by importing its structure into the Data Cookbook. Provide a workflow for resolving any changes to the data model and the ripple effects into your business glossary and reporting deliverables.
• Integrate directly with your data systems using the IDataHub to keep the content refreshed and push any changes in to the workflow for updating the data systems.

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IDataHub Integration Suite

Optional module (separately licensed) that is designed to enhance the Data Quality Module and the Extended Data Systems by providing integrations between your Data Cookbook account and your data systems within your organizations.

Installed on premise, the IDataHub is an integration platform.  This suite includes components to read your Data Quality Rules from the Data Cookbook and test them against your data systems. The results can be sent back to the Data Cookbook to be handled by the workflow for resolution of data quality issues.  This suite also includes components to synchronize technical metadata about your data systems (including the schema or model) with the Extended Data Systems in the Data Cookbook.  Changes or issues in the synchronization are handled in the Data Cookbook with an impact resolution workflow.

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Advanced Specifications

Optional module (separately purchased) that provides for increased capabilities with Specifications in the Data Cookbook.  You can establish templates for different types of specifications based on pre-delivered templates.  Examples might include Dashboards, ETL, Pivot Tables, and ones specific to reporting tools.

In addition, extend your specifications with additional attributes including events and dates to support a reporting calendar.

Projects are also introduced with this module as a new way to group and work with specifications that are related.

Key Features

• Provide a default set of requirements to capture for each different kind of reporting done on campus.
• Increase effectiveness of reporting by providing a way to capture different sets of requirements for different kinds of reporting.

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