A framework helps an organization and its members on how to think and communicate about a project such as a data governance or data intelligence initiative. And every organization need a data governance framework or structure so that the data governance efforts are successful. The framework needs to match the organization and should include processes, people, and a central knowledgebase. But what processes, what people are involved and what is in the knowledgebase will be different for each organization.
Data is an organization asset that must be managed actively and in a sustained manner to ensure that it is used efficiently and effectively to maximize its value to the organization. And when the data resides in multiple data systems the task of managing the data is very difficult. The implementation of a data governance framework tailored to the organization allows the organization to respond quickly to changes (market changes, competitor changes, disaster changes, etc.). A framework works across the enterprise and has an organization wide view of the data. The methods and processes in the framework treat data as a shared resource, adding value to all in the enterprise. A framework supports the understanding and implementation of related concepts as well as keeping it in one place.
A data governance framework brings everyone in the organization on the same page. When people in the organization know that there is a data governance framework being used it provides them confidence that there is thought behind the processes, roles, and responsibilities in place as well as having accessible data governance content in a knowledgebase. A framework assists stakeholders’ thinking by dividing the huge area of data governance into more manageable sections.
The data governance framework suggested by IData is a pragmatic and actionable framework that assists data stakeholders from across the organization to come together with clarity of thought and purpose when working on their data governance initiative. The framework and its components apply to new data governance initiatives or one that is being restarted. The framework will allow an organization to scale data governance and to take data governance to the next level. This framework will work for organizations of any size and in any vertical including those in higher education. A tool like the Data Cookbook establishes the data governance framework necessary for success and is a place to store all necessary data governance content.
The suggested IData data governance framework consists of 3 components:
- Establish your stewardship over your data (for more information access our blog post or video on the subject) – these are the subject matter experts and decision makers on your data
- Establish a data governance knowledgebase (for more information access our blog post or video on the subject) that is open to consumers and creators
- Establish processes around data governance (for more information access our blog post or video on the subject) including workflows for stewardship and automated content synchronization as well as open points of entry for requests, issues and questions
Hope that this blog post helped and convinced you to make sure that you have a data governance framework in place so that you can have data governance success which leads to better data quality, better trust in data and better decision making.
IData has a solution, the Data Cookbook, that can aid the employees and the organization in its data governance, data intelligence, data stewardship and data quality initiatives. IData also has experts that can assist with data governance, reporting, integration and other technology services on an as needed basis. Feel free to contact us and let us know how we can assist.
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