Data and information are critical assets of any organization, and should be considered as valuable a resource as buildings, employees and products. For a company to gain a significant competitive advantage, it must focus on managing the quality of its data. Data quality management is essential to ensuring the viability of data and information.

This intensive course will deliver a roadmap for creating and implementing a data quality management program, based upon successful real-world implementations at several leading edge companies. The attendees will gain an understanding of the importance of data management, the various types of information management approaches, data quality concepts and practices, and will provide proven approaches to the implementation of a data qulaity program. In this ICCP-certified course, you will develop a plan for implementing your own data quality program and you will learn about the organizational structures and roles that are essential to managing data quality effectively.

Benefits To Your Company

• Through the chain of accountability, data quality management increases the confidence the organization has in the data it manages and the use of that data for accurate decision-making. Making decisions based upon timely and accurate data can enable an organization to realize both tangible and intangible benefits for increased value throughout the enterprise.
• Managing data quality across the enterprise provides one point of accountability for the control and use of all information assets in an organization. Establishing and maintaining a data quality practice offers the opportunity for an organization to set the focus on managing their crucial information assets.
• Data stewardship and governance are part of an functioning data qulaity program and provide a common set of reference data, reduced data duplication and a common vocabulary for all of the enterprise’s information assets. These benefits can be translated into savings of money and effort across the organization.

Who Should Attend

• Data Stewards
• Data Quality and Testing Professionals
• Data Custodians
• Data Architects
• Enterprise Architects
• Data Administrators
• Business Analysts
• Project Managers
• IT Professionals
• Subject Matter Experts

Learning Objectives

• Provide a full life cycle approach for implementing a successful data quality managenent program across the enterprise
• Provide a proven method for addressing data quality, integrity and reuse through a data governance program within the quality initiative
• The role of information assets and their effect on the entire organization
• Fundamentals of data quality and information managment
• How to develop an effective plan for managing expanding information requirements
• How to address the political issues and organizational challenges of data quality and its management and improvement • The importance of data governance to the enterprise

Attendees will learn how to...

• Develop your organization’s roadmap for data quality
• Create your organization’s data quality management initial project plan
• Define your data quality scope and charter
• Learn the intersections and relationships of meta data management to data quality
• Develop the specific roles and functions for your organization’s data quality teams
• Understand data quality best practices to avoid the common obstacles that derail many initiatives

What Makes This Certified Course Unique

This ICCP-certified course provides participants with practical, in-depth understanding of how to implement a successful enterprise wide data quality management program. Through case studies and team interaction attendees will attain the real-world implementation skills necessary to build a program for their organization. Attendees will receive examples of the various artifacts that form the documentation of a data governance quality program, and will be able to interact with other attendees to extend their understanding of the importance of starting and maintaining an enterprise-wide data quality program. Hands-on workshops throughout the course will reinforce the learning experience and provide the attendees with concrete results that can be used in their organizations.

Seminar Outline

1. Understanding convert data-information-knowledge
   
   
2. How to properly manage data as a corporate asset
   
   
3. Enterprise data quality and its management
   a. How to set attainable objectives
   b. Define scalable data management functions
   
   
4. Introduction to data governance and stewardship
   a. Issues and challenges of implementing a data governance program
   b. Key attributes to a successful data governance program
   c. Role of the data governance program in enterprise data quality management
   
   
5. Improving data quality
   a. Assessment
   b. Analyzing results
   c. Communicating the values of data quality and the program
   d. Issues and challenges of data quality management
   e. Key attributes of successful data quality programs
   f. Role of the data stewardship in a data quality program
   
   
6. Implementing a data qulaity management program
   a. Defining data requirements
   b. Identifying data and meta data sources
   c. Approaches to data quality development
   d. Creating the data quality teams (management, performance, assessment)
   e. Understanding and implementing the dimensions of data quality
   f. Assessing business impact of a data quality program
   g. Creating the data quality improvement project plan
   h. Planning the maintenance of a data quality program and implementing appropriate controls
   i. Additional tools and techniques in quality management
   j. Future of data quality and its management
   
   
7. Challenges in a data quality management program
   a. Key obstancles to avoid
   b. How to break down political barriers
   c. How to implement your program in manageable iterations
   
   
8. Conclusion, discussion, references for additional study