Data Governance are the policies and procedures an organization uses to manage collection and usage of its data throughout its life cycle.
It involves human and technology in planning and implementation respectively. It gives a guide to setting up of internal standard procedures on policies that will aid on gathering, storing, processing, and disposing off of data.
Human capital needs to plan for this policy and use relevant technology to implement the laid down procedures that aims at securing all form of data in a lifecycle including personal privacy-data.
The processes must ensure that enterprise data complies with industry standards and policies when it enters a system.
Data governance can be traced as earlier than the 1980s and was by then an IT affair for storing and cataloging purposes. After the 1980s, it started to build up as a core field on itself.
Based on its four pillars, data quality, data stewardship, data protection and compliance, data management makes a strong foundation for establishing a robust data-governance framework.
The emergence of big data on the other hand instituted an eventual opportunity for a data-governance evolution due to availability of big volumes of institutional-data.
The massive global shakeup on data-handling came in by 2018 as a result of several data breaches that exposed some companies to massive reputational losses due to week governance-policies.
The European - General Data Protection Regulation (GDPR) emerged as one of an eventual legislation that set precedence on regulating personal-data security handling policy to protect people from mishandling of their personal-data.
The data-governance has found a wide use in various ares
Accuracy and consistence brings up trusted data in its life cycle.
Its a modern regulation requirement to handle personal-data with out most privacy.
Collection, storing, processing and destruction of data has to be handled with modern processes that protect user personal-data from fraudulent access or cyberattacks.
It is a requirement to stick to industry specific compliance and standards such as International Standards Organization (ISO), GDPR of 2018, Health Insurance Portability and Accountability Act of 1996 (HIPAA), California Consumer Privacy Act (CCPA) and many other Regional States and Country data regulations.
Managing traceability of the datas origin, flow, and transformations help maintain transparency, data integrity, and facilitate audits.
A data-policy that effectively addresses handling of data assets and their metadata enables users to quickly discover, understand, and use the data efficiently.
Assigning the right access permissions and control for data assets is critical in establishing an effective data security policy.
Acquiring, storage, processing and destruction of data remains a key component to data-lifecycle policy development and management.
The choice and management of data structures and formats makes data analysis easier.
Data categorization result into easier data-collection and improves on data processing.
The governance helps organizations manage and adapt to data policy changes requirement, business processes and technologies.
Companies invest a sizeable amount of money to implement data governance in their premises. The funds are for implementing various activities that span into administrative and human capital development, computerization, infrastructure and network security, storage and backups, systems acquisition, development and upgrades and any other associated budget.
The expenditure to implement data governance is about 5% to 7% of the company annual revenues. A medium sized company with an annual revenue of USD2B will spend an estimated budget of about USD120M.
The priority areas for data governance funding and costs are distributed as
The Data Governance Office or Data Governance Team owns the entire successes of data-governance administration. These are the entities or personalities entrusted by the organization to implement the program. Every company must plan for implementation and success of data governance for a successful business operation.