Data Governance is a set of policies, processes, roles and metrics that help ensure that data is used efficiently and effectively to enable an organization to reach its goals. Data governance defines who is allowed to take what actions, with what data, and in what circumstances, using which methods.
An well-written data governance strategy will be a key component for any organization working with big information. It will show how your business can benefit from consistent, common processes, and responsibilities. This strategy will form the foundation of your data governance.
If, for example, your business goal is to protect the privacy healthcare-related data, then patient data must be managed securely as it moves through your business. Retention requirements (e.g. To ensure compliance with applicable government requirements such as the GDPR, a history of who modified what information and when will be established.
Data governance is the process of defining roles and ensuring that accountability and responsibility are shared across the enterprise. A data governance plan that is well designed covers all aspects of data governance, including operational, strategic, and tactical roles.
What data governance is not
Data Governance is often confused with closely related terms and concepts such as data Management, and Master Data Management.
Data Governance is not Data Management
Data management is the management of all data lifecycle requirements of an organization. Data governance is the central component of data management. It ties together nine other disciplines such as database operations, data security and metadata management and data warehouse.
Data Governance is not master data management
Master data management (MDM), focuses on the identification of key entities within an organization and improving their quality. This ensures that you have accurate and complete information about key entities such as customers, suppliers, doctors, etc. Master data management, which is about reconciling disparate views of these entities into one view, is a discipline that goes beyond data governance.
Without proper governance, MDM cannot be successful. A data governance program, for example, will determine the master data model (what are the definitions of customers, products, etc.). The retention policies will be described and roles and responsibilities for data access, curation, authoring and maintenance.
Data Governance Training is not data Stewardship
Data governance training is the process of ensuring that the correct people have the data responsibilities. Data Stewardship is the responsibility to ensure that data is accurate, under control, and accessible by the right parties. Data governance refers to strategy, roles and organization. Data stewardship focuses on execution and operationalization.
Data stewards manage data assets and ensure that data quality, compliance, security, and consistency are maintained.
Data Governance has many benefits
A data governance strategy that is effective can bring many benefits to an organisation, including:
Better quality data – Data governance is a way to ensure data consistency, accuracy, and completeness.
Data map – Data governance gives you the ability to locate all data that is related to key entities. This is essential for. Data governance is like a GPS, which can show a physical landscape and assist people in finding their way through it. It makes data assets more useful and allows them to be connected with business outcomes.
A 360 degree view of each customer. Data Governance establishes a framework that allows organizations to agree on “a single version truth” for key business entities. It also ensures consistency across business activities.
Consistent Compliance – Data Governance provides a platform to meet the requirements of government regulations such as the EU General Data Protection Regulation.
Better data management Data governance is bringing the human dimension to a data-driven, highly automated world. This ensures that all concerns and needs, beyond those related to traditional data and technology, are addressed.
Data Governance is not optional
Today’s organizations have an incredible amount of information about their customers, suppliers, clients, patients, employees, and other data. An organization that uses this data to better understand your market and target audience will be more successful.
Your organization should be able to make the most of its data governance investments and reduce risk of data breaches. When you are ready to get started, take a look at our Data Governance Solutions.