Information Management is a broad and diverse field that encompasses 14 distinct disciplines. Even seasoned IM professionals don’t typically have knowledge of and experience in all of the disciplines. This 5.5-hour course provides a high-level view across the entire scope of information management.

Instructor: David Wells

(88)

Data quality is a large and complex field with many dimensions. This 4-hour course provides an overview of the field of data quality with the goal of building strong foundational knowledge, inlcuding terminology, concepts, principles, processes, and practices.

Instructor: David Wells

(132)

This 5-hour course provides and overview of the disciplines of governing data, covers the essential components of an enterprise-wide program, and outlines a roadmap to execute a successful data governance program. An extensive case study illustrates data governance concepts, principles, and practices.

Instructors: Maria Villar, Theresa Kushner, Dave Wells

(67)

This 3-hour course provides foundation knowledge about the most commonly used data modeling techniques: entity-relationship modeling and dimensional modeling. A similar foundation is built for metadata management with attention to common metadata purposes and metadata discovery methods.

Instructors: David Wells and Arkady Maydanchik

(22)

This 5-hour course discusses architectures, requirements, methods, roles and activities of data integration that can be applied to achieve successful data integration projects for a variety of applications and circumstances.

Instructor: Dave Wells

(7)

This 6-hour online course provides a foundation to understand the scope and the key success factors of analytics. Concepts and terminology are introduced, and scope of analytics is discussed to set context and provide a frame of reference for topics that follow.

Instructor: Mark Peco and Dave Wells

(1)

Understanding why things happen is a fundamental management skill. Through this 4-hour course you will discover the art and science of knowing why. Learn to apply linear thinking, lateral thinking, systems thinking, and critical thinking – independently and in combination – to get to the core of even the most vexing problems.

Instructor: David Wells

(43)

Data virtualization is a core component of next-generation data integration architectures, techniques, and technology. This 3-hour online training course will introduce you to the concepts, techniques, and capabilities of data virtualization.

Instructor: Dave Wells

(7)

The objective of this 5.5-hour course is to build a foundation of knowledge for the Data Stewards. It covers topics ranging from basic terminology, roles and responsibilities and best practices of data stewardship to fundamentals of data quality, data governance, and other information management disciplines.

Instructors: Maria C Villar and David Wells

(24)

The objective of this 4.5-hour course is to provide an overview of the field of data quality with the goal of building strong fundamental knowledge for Data Stewards. It covers topics ranging from data quality definitions and dimensions to key data quality management practices and methodologies as well as core data quality processes and projects.

Instructors: David Wells and Arkady Maydanchik

(15)

The objective of this 4.5-hour course is to provide an overview of the field of data governance with the goal of building strong fundamental knowledge for Data Stewards. It covers the disciplines of governing data, the essential components and a roadmap to execution of a successful data governance program.

Instructors: Maria C Villar, John Ladley & Dave Wells

(19)

The objective of this 4-hour course is to provide an overview of the fields of data modeling and metadata management with the goal of building strong fundamental knowledge for Data Stewards. It covers the the essential tools to collect, record, and organize metadata.

Instructors: David Wells, Mike Brackett & Arkady Maydanchik

(7)