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Data Governance  


Data Governance


The purpose of data governance is to provide tangible answers to how an agency/organization can determine and prioritize the financial benefits of data while mitigating the business risks of poor data. 

JVGlobal-IT.  Data governance as a business strategy:


Data governance requires determining what data can be used in what scenarios – which requires determining exactly what acceptable data is:

  • What constitutes data?

  • Where is it collected and used?

  • How accurate must it be?

  • Which rules must data follow?

  • Who is involved in the various stages in a data lifecycle?

Importantly, data governance must go beyond IT and include stakeholders from across the enterprise. To ensure the safety, reliability, and trustworthiness of all data, governance requires that stakeholders from all business areas be involved. Consider the alternative: if each business silo approaches their data strategy differently, the result is chaotic and not comprehensive enough to be useful.

It is likely to overlap with many data areas, like security, compliance, privacy, usability, and integration. The result may be some system that determines the decision rights and accountably of processes and individuals, like which data processes are used when, and which people can take certain actions under specific circumstances.

JVGlobal-It: Our goal is to help your agency determine a holistic way to control data assets, so that your agency/organization can get the absolute most value from the data.

JVGlobal-IT: Strategy, not technology

A good way to determine data governance. It is not defined by technology, instead, technology should support data governance through automation, scaling, and augmentation. Data governance starts as a theory (or several), but your strategy can become tangible when you create:

  • Data quality definitions, which determines the condition of the data, as well as its trustworthiness and adherence to data policies

  • A business glossary, which records the meaning of all data, ensuring clarity and preventing unnecessary repetition

  • Roles and responsibilities, which provides an organizational structure to who cares for and maintains which data

  • Governed data catalogs, which serves to locate and facilitate understanding of the data. More advanced catalogs may even group data into various related collections, based on how previous users have accessed the data, which can provide additional meaning and insight and organization.

  • Metadata creation, which links technical processes to specific data implementation, as well as anything that produces, uses, or influences data. This can even track the “lineage” of data, or the relationships of data across different sections, such as data within similar meanings, business processes data, and data specific to departments, business units, applications, other products, and even internal or external geographies.

JVGlobal-IT: Benefits of data governance

Once your data management processes are established, data governance is a logical next step because of the many benefits, such guidance can provide, including: 

  • Increasing the value of your company’s data

  • Decreasing costs within other subsets of data management, by knowing what you will focus on and what you are choosing to skip

  • Increasing enterprise revenue overall

  • Standardizing data systems, policies, and procedures

  • Ensuring correct regulation and compliance procedures

  • Helping to solve issues with data

  • Promoting transparency

  • Establishing training and education around data



JVGLobal-IT: Keep in mind data management and data governance are not the same things, in concept or in practice, but they are both essential to ensure the successful and valuable use of data in your organization.


JVGlobal-IT can help!



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