Data Governance: Roles & Responsibilities (PowerPoint PPTX)

DESCRIPTION

Data standardization, precision, and security aren't the sole dominion of folks working within the IT department. These tasks involve participation of a number of stakeholders from across the organization.

Incoherent data creates hurdles in Data Analytics and business operations. Data protection initiatives should be managed by structured Data Governance roles.

Likewise, Data Governance initiatives warrant a cross-functional, team effort. This framework discusses the 5 key participants of a Data Governance Program:

1. Chief Data Officer (CDO)
2. Data Governance Team
3. Data Governance Committee
4. Data Stewards
5. Data Quality Analysts & Engineers

We also discuss the key roles that are mandatory for Data Governance initiatives:

1. Leadership
2. Data Governance Council
3. Data Stewards

The slide deck also includes some slide templates for you to use in your own business presentations.

The PPT delves into the criticality of forming an organized Data Governance team, outlining the structure and roles necessary for effective governance. It emphasizes the importance of a Chief Data Officer (CDO) who spearheads the initiative, ensuring alignment with business objectives and securing necessary resources. The CDO's role is pivotal in navigating the complexities of data management and fostering a culture of accountability.

The presentation also highlights the significance of the Data Governance Committee and Data Stewards. These roles are essential in maintaining data integrity and ensuring compliance with established policies. The committee provides strategic direction, while Data Stewards manage data assets and collaborate across departments to enforce data standards. This collaborative approach mitigates risks and enhances data quality.

In data-driven enterprises, the role of Data Quality Analysts and Engineers is underscored. These professionals are tasked with monitoring and improving data quality, identifying inconsistencies, and ensuring data reliability. Their forensic approach to data analysis supports informed decision-making and drives business growth. This comprehensive framework equips organizations with the tools to implement robust Data Governance practices.

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Source: Best Practices in Big Data, Data Collection, Data Governance PowerPoint Slides: Data Governance: Roles & Responsibilities PowerPoint (PPTX) Presentation, LearnPPT Consulting