Active Data Governance relates to the ongoing, business-as-usual management and control of data assets. 

 

 

  

Understanding Active Data Governance

At Master Data Management, we have always promoted an active approach to data governance.

Also known as Dynamic, Agile, or Continuous Data Governance, the active approach emphasizes the need for organizations to take a proactive and systematic approach to data governance. 

What is active data governance?

active data governanceActive information governance is a business-as-usual approach to information governance that empowers people to take responsibility for data early in the data lifecycle.

It focuses on the prevention of data quality and other issues by catching them early and encouraging every stakeholder to make data stewardship part of their every data activity.

A business-as-usual approach to data governance is essential for organizations for several reasons.

Firstly, it helps organizations meet regulatory and compliance requirements.

In today's world, data privacy and security regulations are becoming increasingly stringent, and organizations must comply with these regulations to avoid legal consequences.

Secondly, it helps organizations maintain data quality.

Poor data quality can result in incorrect business decisions, which can have a significant impact on an organization's bottom line. Active or Dynamic Data Governance ensures that data is accurate, complete, and up-to-date, which helps organizations make informed business decisions.

Finally, active governance helps organizations manage their data assets efficiently.

By having a clear understanding of their data assets, organizations can optimize their data management processes, which can result in significant cost savings.

Leveraging Technology to Enable Active Data Governance

Dynamic Data Governance leverages technology in several ways to help organizations manage and control their data assets more effectively. Here are some examples:

  1. Data Quality Management Tools - Data quality management tools proactively monitor data quality and identify any issues or anomalies. These tools can automatically detect and flag any data quality issues such as missing values, duplicate records, or inconsistencies. They can also help to cleanse, transform, and standardize data to ensure its accuracy, completeness, and consistency.

  2. Data Catalogs and Data Lineage tools - Agile Data Governance uses data catalogues to maintain a centralized repository of data assets, including metadata and lineage information. Data catalogues can help to improve data discoverability, accessibility, and governance. They can also provide a comprehensive view of data assets across the organization, enabling better decision-making and risk management.

  3. Data Security and Privacy Tools - Active Governance leverages data security and privacy tools to protect sensitive data and ensure compliance with regulatory requirements. These tools can include data classification, encryption, access controls, and data masking, among others.

  4. Master Data Management - Master Data Management (MDM) creates a single, authoritative source of master data across the organization. MDM helps to eliminate data silos and inconsistencies, which can improve data quality, accuracy, and consistency.

Overall, technology plays a crucial role in Dynamic Data Governance by enabling organizations to automate data management processes, improve data quality, and ensure compliance with regulatory requirements.

Benefits of Active Data Governance

Dynamic Data Governance can have several benefits for organizations, including:

Improved Data Quality

Agile Data Governance helps organizations maintain data quality by ensuring data is accurate, complete, and up-to-date.

Compliance with Regulations

Dynamic Data Governance helps organizations with to comply with regulations and compliance requirements, avoiding legal consequences.

Optimized Data Management Processes

Continuous Data Governance helps organizations optimize their data management processes, resulting in significant cost savings.

Relevant Data Products

Agile Data Governance is an enabler of a DataOps approach to business analytics and data engineering. The collaborative and agile approach is proven to deliver more relevant and reliable data products quickly. 

A Continuous Approach

Continuous Data Governance involves ongoing management and control of an organization's data assets.

It is not a one-time event, but rather an ongoing process that requires consistent attention and monitoring. Active Data Governance involves regularly reviewing and updating policies, procedures, and standards to ensure they remain effective and relevant. It also involves continuously monitoring data to identify any quality issues or potential risks and taking appropriate action to address them. By being a continuous process, Dynamic Data Governance helps organizations maintain data accuracy, completeness, and security over time.

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