What Is Data Governance?

Data Governance is a complex subject. The term is a bit vague because there are different types of Data. Data is generally understood to mean information which can be used for business purposes.

However, it can also refer to any information that can be used to understand and predict the future, in addition to describing the present.Data governance is an important factor in how organizations manage their data and how they use it. If you’re not familiar with data governance, and you want to learn more so that you can take better care of your data, this article is for you!It’s easy (and lucrative) to obtain data from various sources such as web sites, online databases, social media platforms, public records, etc.

But who really has access to the right source? It seems like a simple question but it isn’t always so simple because there are many variables at work when trying to determine who has access and who does not. One way of thinking about this problem is by looking at “Who controls the data?” and “What rules do they follow?”

The rules may vary from organization to organization but what we all have in common is an interest in controlling our own destiny when it comes to managing our own data.

How do we manage our own data?

Do we have complete control over everything or do others have some control over what happens with our information?

The answer may be that we don’t have complete control over everything but often times there are laws governing what happens with our personal information (such as personal privacy laws).

Data Governance: Who Controls the Data?In order for us as individuals or organizations to get a handle on how our personal information will be used by others (including ourselves), it makes sense that we consider how other people will get access too this type of sensitive information (which may include personal health records).

We need rules and regulations governing how exactly these two groups interact – who has access and when they get access – which allows us a level of protection when accessing the internet without putting anything private at risk.


Data Governance Methodology


The term “data governance” is used to refer to the formal implementation of processes, practices and controls that are intended to ensure the quality, security and integrity of data within an organization. The term is also used in relation to data management processes for ensuring that data is efficiently managed across the enterprise.

The purpose of Data Governance is to ensure that all data assets are owned, controlled and managed in a manner appropriate to their use and purpose.  Data Governance can also be applied to all forms of information assets, including corporate records, personal documents and electronic archives.

Many organizations have evolved a practice called Data Management (informal name: Big Data) that involves extracting value from vast amounts of data by using advanced analytics tools or by developing new proprietary tools.

Data Management practices can be either centralized or decentralized. In centralized systems, all actions are coordinated through a central repository such as an IT department or database administrator.Centralization has two benefits:

• It provides a single point of access for IT staff who have comprehensive knowledge about the entire environment, as well as for external auditors and consultants who have access to an authoritative source of information on how best-practice management processes should be implemented across the organization.

• It allows an organization’s decision-making structure—its governing body—to move with minimal disruption from one direction or another. This allows decision-makers at various levels within organizations (for example, business unit managers) to make decisions without influencing each other’s decisions directly because they do not need to heed any conflicting advice from above them.

Decentralization has three benefits:

• It enables decision-makers at different levels within organizations (for example, business unit managers) to influence each other directly because they do not need anyone else’s permission given their control over their own organizations’ decisions below them on the organizational chart.

• It enables decision-makers at different levels within organizations (for example, business unit managers) to choose which processes should be implemented without requiring everyone else in the organization’s chain-of-command reexamine their own policies; because only those individuals who actually have control over what happens at each level within the organization’s chain of command will actually implement it in a way that works best for them given each individual’s unique circumstances.


Benefits of Good Data Governance


Data governance is the process of ensuring that all the data assets within an organization is managed in a way that is efficient, effective and secure. It includes the following elements:These processes ensure that the data stored within an organization is well maintained and secured to ensure against any potential security threats or breaches.Data governance can be broken into three components: Strategy, Processes & Procedures, and Tools.

The strategy guides how data assets are managed within an organization and ensures that it aligns with business goals and objectives. The processes ensures that all data assets are managed effectively by providing common processes for accessing, using, designing and maintaining them (e.g., electronic data capture, centralized file storage).It also includes procedures to control access to those data assets (e.g., access controls or logging) as well as proper training for employees responsible for managing them.

Finally, tools can be used to enable automated operations across the various system layers of an organization (e.g., ITIL v3).It’s important to note that this isn’t about ensuring compliance with laws or regulations; it’s about ensuring compliance with various regulations in your industry or market (e.g., HIPAA and PCI).

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Achieving a Lean Data Governance Approach


Data governance is the process of ensuring that all data assets within an organization are managed in a consistent and orderly fashion.Data management is the science of keeping information stable and usable for production purposes. Data management practices include policies and processes for structured, electronic, or both.

These practices also help to ensure that data assets are properly managed and stored so that it can be accessed by authorized users in a timely manner, whether on-premise, off-premise, or hybrid platforms.Data governance represents a key set of business processes which help to ensure that all data assets within an organization are effectively managed and protected. In order to do this effectively, organizations need to have separate processes for managing different types of data.

For example, a company may have separate processes for managing personal health data (sometimes called “user information”), financial information (sometimes called “accounting records”), business process information (sometimes called “business processes”), government agency information (sometimes called “government records”), legal sensitive information (sometimes called “sensitive personal information”), and other sensitive information (sometimes called “sensitive data”).

Organizations must ensure that these various types of data are properly protected in order to remain compliant with federal laws governing privacy issues for example; HIPAA and HITECH Act.

As businesses across the globe adopt more sophisticated technologies such as cloud computing, virtualization, and software as a service applications we may see more organizations placing more emphasis on the security of their data assets. In turn organizations will need to establish strict policies regarding how they manage their users’ personal health care technology while safeguarding sensitive financial transaction records within their enterprise systems.

While these standards require complex administrative tasks it also gives companies some peace of mind knowing that must technical controls are thought through thoroughly before implementation takes place.


Conclusion


A data governance framework is a tool to manage the collection, storage and use of data within an organization. Data governance is a set of practices, processes and procedures that allow the organization to manage its data assets and privacy policy.Data governance protects users’ personal information and facilitates the development and use of applications that can access, securely process and use personal data.

It encompasses three main facets:

  • Data collection
  • Data dissemination
  • Data processing

Data governance allows organizations to create policies, regulations, strategies and strategies for managing their data assets.

This is done in compliance with standards relating to privacy protection, regulation compliance, organizational security practices as well as legal requirements (e.g., PCI DSS).