Establishing the Foundations of Data Governance Using Data and Process Design Standards and Management Practices Shared by JamesRichard
What is it and why is it needed: A working definition of data governance will be discussed. This definition will include: the corporate motivation for and purpose of data governance, its scope and characteristics, who is responsible, who are the beneficiaries, what are the benefits and what is the cost/benefit 'equation' of data governance.
What are roles of stakeholders: Data governance is a team sport. At many places in the data management life cycle, data governance principles and concepts need to be actively used. Successful data governance implementation requires an understanding of organizational and functional roles, responsibilities and accountabilities. A set of these roles will be presented and mapped to the data management life cycle. Suggested stakeholder skills, knowledge and performance indicators will be presented
How is data governance performed: Each step of a data management life cycle will be presented in detail. Each operational step in the data management life cycle (specification, design, implementation and maintenance process ) will be presented identifying data governance requirements, stakeholder roles and performance indicators. How data design standards, data management methods, procedures and metrics fit into the data governance narrative and support the organization's goals for achieving data quality and interoperability will be included. A self-assessment questionnaire will be presented to assist participants begin to identify gaps in their data governance programs and lay the foundation for a data governance road map and action plan.
Why should you attend: In many industries, there is an exponential growth in risk that goes along with the corresponding growth in business volume and complexity. The underpinnings for supporting that business growth and minimizing risk is assuring that the corporate asset called 'data' serves the business with speed, integrity and trustworthiness. Increasingly, inadequate or incorrect data design and data management practices (i.e. 'bad data') are being associated with health, safety, security, compliance and financial issues. Whatever your responsibilities may be with regard to data, it is a growing likelihood that your accountability is growing as your responsibilities increase. In addition to the business consequences of 'bad data', penalties, fines and ultimately litigation may await you and your organization.
Ironically, there is no standard definition for data governance, but in this session what is important to know about to reduce your and your organization's 'bad data' vulnerability. In this webinar, whether you are in management or technical design, the key functions, responsibilities and success factors of your role and how they apply to the data management life cycle will be presented. Through understanding each step in the data life cycle, the needed skills, methods, procedures, technology and knowledge required to implement a successful data governance program will be presented.
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Who Will Benefit:Speaker Profile: