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Thurs., Dec. 6 - The Data Cookbook and a Pragmatic Approach for Implementing Data Governance 1-2pm Eastern

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The Data Cookbook is your place to start on a clear path from question to answer  

With the Data Cookbook institutions of higher education can get the trusted and governed data they need to make better decisions and take more effective actions.

Colleges and universities collect and store abundant, valuable data. Unfortunately, it is not always easy to access, understand, or utilize this data. As a result, staff can too often spend an enormous amount of time learning where data exists, defining what it means in a given context, figuring out how to access and share it, and then repeating the process because there is no easy way to record what they’ve already decided or learned. The Data Cookbook helps you solve these problems.

The Data Cookbook is an established, well-supported tool for data management, used at hundreds of higher education institutions. A collaborative repository of knowledge about institutional data, it helps institutions improve their data management practices, which saves time, energy, and money, and reduces duplication of effort, confusion, and other frustrations.

General Features

  • Workflows for Collaboration and Communication
  • Unlimited Users
  • Community for Knowledge Sharing

 

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Data Dictionary and Specifications

The Data Cookbook provides a knowledge base about your data, which provides many benefits, including eliminating the frustration of having multiple definitions for a common term.  You can now easily find and maintain organizational knowledge on data across all systems at your institution.  Efficiency is gained by standardizing reporting procedures, using templates and workflows provided by the Data Cookbook. Faster and more effective creation of reports is achieved with an intuitive, repeatable process.  The Data Cookbook is compatible with leading reporting solutions used in higher education.  Time, energy, and money are saved with the good data management practices the Data Cookbook helps you create.

Key Features

  • Data Dictionary - Functional and Technical
  • Report Specifications and Collections
  • Business Glossary
  • Data Request Process
  • Advanced Specification Templates
  • Reporting Calendars, Milestones and Events
 


 

 

Data Governance Workflows

Requests for information and reports occur all the time at higher education institutions.  The Data Cookbook manages these requests and makes sure that the proper individuals get notified when it is time for them to act.

Key Features

  • Definition Approval Workflow
  • Report Specification Request/Change Workflow
  • Information Request Workflow
  • Change Management / Impact Analysis
  • Customizable Workflows for Data Quality Rules and Issues

 

Data Quality

Document and approve data quality rules (functional and technical details), including lists of valid values for a field or definition, and report and resolve data quality issues.  Data quality rules can exist independently or as attributes of your data definitions.

With the integration capabilities of the Data Cookbook (by its use of the IDataHub), many automations can be added:

  • Reference data (valid value lists) can be kept in synch with your data systems
  • Data quality rules can be executed and validated on your data systems
  • Issues identified can be automatically 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 into the workflow for resolving quality issues.

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Technical Metadata

Detailed technical documentation is provided in the Data Cookbook, 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.  Notify key players when data models are altered.

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 their structures into the Data Cookbook. Impact analysis allows you to find and resolve the ripple effects on your business glossary and reporting deliverables caused by changes to underlying data systems.
  • Integrate directly with your data systems using the IDataHub to automate the initial import and keep technical information current.

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Advanced Specifications

In the Data Cookbook you can document many different types of data deliverables as specifications. Using customizable specification templates,  it's easier than ever to distinguish between ETL, data mappings, dashboards, pivot tables, and other templates specific to reporting tools.  Capture only the information you need, and if desired view visual relationships between data elements based on the mappings you have documented.

In addition, extend your specifications with your own attributes including events and dates to support a reporting calendar.  Another feature - collections - provides a way to group and work with specifications that are related (such as surveys or fact books)

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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IDataHub Integration Suite

The IDataHub is a separately licensed product that is used by the Data Cookbook to provide integrations between your Data Cookbook account and your organization's data systems.

The IDataHub integration suite includes components to read your Data Quality Rules from the Data Cookbook and test them against your data systems. Failing 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 comnnectors to import technical metadata about your data systems for use in the Data Cookbook, and tools to synchronize reference data (lists of valid values). Changes to these lists can be managed in the Data Cookbook with an impact resolution workflow.

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