Data governance (DG) is the process of managing the availability, usability, integrity and security of the data in enterprise systems, based on internal data standards and policies that also control data usage. Effective data governance ensures that data is consistent and trustworthy and doesn’t get misused.
A well-designed data governance program typically includes a governance team, a steering committee that acts as the governing body, and a group of data stewards. They work together to create standards and policies for governing data, as well as implementation and enforcement procedures that are primarily carried out by data stewards. Ideally, executives and other representatives from an organization’s business operations attend, in addition to the IT and data management teams.
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Data Governance Services
Data Architecture
System architecture diagrams, entity-relationship diagrams, data flow diagrams, etc., which provide an overview of how data is captured, ingested, transformed, modeled, and put to usage across the company.
Data Development/Integration
Data integration policies and standards for consolidating data from disparate sources into a single dataset via ETL/ELT processes or data virtualization.
Data Quality Management
Rules for data quality (e.g., data profiling, cleansing, and matching) to ensure data is fit to serve its objectives.
Data Operation Management
Policies for controlling the data storage environment (stored data types, data location, recovery procedures, storage environment performance, etc.).
Data Security
User authentication and authorization policies, data access policy, data audit policy, etc., to prevent unauthorized data access and its inappropriate usage.
Metadata Management
Business glossaries and data lineage traceability documents, which maintain information on data definition, relationships, movement, etc.
Data Warehousing, Analytics, and Reporting
Policies for providing and overseeing data analytics processes and infrastructure.
Content Management
Policies for storing, sharing, indexing and auditing corporate data stored outside relational databases for maintaining data integrity and enabling easy data access.
Reference and Master Data Management
Data deduplication and standardization policies to enable master and reference data consistency across transactional and business intelligence systems.
Data Governance Components
Benefits of Data Governance
The most notable benefits of data governance include providing improved data quality, lower data management costs, increased access to needed data across the organization, lower risks of errors being introduced, and ensuring that clear rules regarding access to data are both set, enforced, and adhered to. Ultimately, data governance helps improve business decision-making by giving management better and higher quality data, resulting in competitive advantages and increased revenues.
Below Are Some Key Benefits
1.Make data consistent.
2.Improve data quality.
3.Maximizing the use of data to make decisions.
4.Operational efficiency
5.Data classification & security