What is Data Governance? And Its Importance?

Meaning of Data Governance

Data Governance is defined as the collection of processes, standard policies, and tools ensuring high-quality data throughout the data lifecycle and optimizing it across the organization. Data governance enables users to locate, prepare, use and share trusted datasets more quickly without the interference of IT.

Why is Data Governance Important?

The key advantage offered by data governance is that it offers the high-quality data required by data analytics and BI tools. The insights generated from these tools result in informed and smart decision-making and operational efficiency. Some of the common benefits of data governance are listed below:

Enhanced data consistency, completeness, and accuracy.

Agreement on uniform data definitions.

Data misuse prevention.

Data silos removal across departments and systems.

Increased trust & transparency in decision-making.

Easy data accessibility.

Strict adherence to govt-imposed data privacy rules & regulations.

Data Governance Best Practices

While you set up a data governance framework, consider these practices to ensure you are leading your business towards success.

Map and categorize your data:

Knowing which system your data is in and how it moves within your business will become more accessible by mapping where your data resides. You may choose how your policies are implemented in each dataset by classifying them according to factors like privacy or sensitivity.

Create a data catalog

You can make various types of data available to multiple types of users rapidly and safely by creating a clear, use case-based data catalog. Data catalogs give an indexed inventory of the available data assets and information on data lineage, search capabilities, and collaboration tools.

DataOps for Analytics

Any analytics environment, including Qlik, Tableau, Power BI, and others, can benefit from real-time, analytics-ready, and actionable data delivered by modern data connectivity.

Real-Time Data Streaming (CDC)

Real-Time Data Streaming (CDC) is a straightforward, immediate, and global solution that extends company data into live streams to enable modern analytics and microservices.

Agile Data Warehouse Automation

Design, develop, deploy, and manage purpose-built cloud data warehouses fastly with no manual coding required.

Managed Data Lake Creation

Automate complex input and transformation procedures to create data lakes that are constantly updated and ready for analytics.

Enterprise Data Catalog

You can enable analytics throughout your organization with a single, self-service data catalog.

READ MORE: Chalking Out Data Governance Strategy In The Multi-Cloud Environment