WEBINAR 2014 - Establishing the Foundations of Data Governance Using Data and Process Design Standards and Management Practices - Webinar By EITAGlobal

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Category Information Technology(IT); Compliance training; IT training, Regulatory compliance;Data Governance; Data and Process Design; Standards and Management ; Enterprise Architect

Deadline: January 21, 2014 | Date: January 22, 2014

Venue/Country: Online, U.S.A

Updated: 2013-12-02 18:22:18 (GMT+9)

Call For Papers - CFP

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.

Areas Covered in the Session:

What is data governance and why is it essential

What are the risks concerning data trustworthiness

Who is accountable for data quality and interoperability

What are the roles and responsibilities for data design and management

What is the infrastructure (methods, skills and technology) needed for a successful data governance program

Walk through the data management life cycle from a governance perspective

Conducting a data governance self-assessment

Developing a data governance action plan

Who Will Benefit:

CIO

CDO (Chief Data Officer)

Governance Officer

Enterprise Architect

Data Architect

QA Manager

Information/Data Steward

Compliance Officer

Risk Manager

Development Manager

Business Analyst

Line of Business Director/Manager

Project Manager

Speaker Profile:

Hamilton Hayes is and Data Scientist and Principal Architect for Sandhill Consultants Ltd. Over time, Ham has led much of the evolution data and process products supporting education courses. He has provided his extensive expertise in information, process and enterprise modeling to numerous major North American corporations and government agencies Ham’s various roles have included serving as Business Director, Engineering manager, Consultant, Educator and Mentor. His industry experience includes aerospace, semiconductor, insurance, manufacturing, IT, human resources and government. Ham has authored articles and delivered presentations to industry groups on enterprise modeling, standards and best practices and their role in improving performance. The focus of his consulting and teaching has helped enterprises and corporations bridge the space between technical modeling and business success. He is also researcher in modeling, using data and process modeling products to model non-linear social interactions.