eLearningCurve

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

This 5-hour course presents a holistic view of data warehousing components, concepts, and definitions. From a systems-thinking perspective, you'll see a framework that describes the building blocks and their interactions to generate real and measurable business value.

Instructor: Mark Peco

Data Stewards are important leaders in information management programs. This 3-hour course provides an overview of the concepts and practices of data stewardship. It covers topics ranging from basic terminology to types of data stewards and their implementation roles and responsibilities.

Instructor: Maria Villar

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

This 4-hour course builds upon experiences of those who have implemented MDM. You will learn what MDM is all about - the terminology used, different styles and architectures of MDM, and the best (and worst) practices for MDM programs.

Instructor: Andy Hayler

This 3-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 and Theresa Kushner

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

In this 5-hour course you will learn basic terminology, concepts, purpose and capabilities of BI, get introduced to the common challenges and risks encountered in BI implementations, and understand the role of people, information, technology and business objectives in BI success.

Instructor: Mark Peco

This 4.5-hour course covers the concepts, notation, and steps needed to create and extend logical data models. The course goes beyond fundamentals, and describes numerous data modeling situations and patterns. Many exercises are included to enhance learning.

Instructor: David Haertzen

Today, if most CIOs are asked about their data asset, most would be forced to respond that there is no inventory of data, little is known about the quality of the data, and “there is no plan for the productive use of this asset.” This 3.5-hour course provides a plan to make effective use of the data.

Instructor: Sid Adelman

In this 3.5-hour course you will learn the secrets of successful conceptual data modeling through an effective mix of presentation and exercises. You will gain valuable insights into the job and responsibilities of the data modeler as well as the responsibilities of other data modeling contributors.

Instructor: David Haertzen

This 4-hour course includes a mix of data modeling concepts, best practices, applications and practical examples that will help you build effective data warehouse and business intelligence applications.

Instructor: Rick Sherman

Data profiling is the process of analyzing actual data and understanding its true structure and meaning. It is one of the most common and important activities in information management. This 5-hour course teaches all practical skills necessary to succeed in a data profiling initiative.

Instructor: Arkady Maydanchik

This in-depth 5.5-hour course takes the mystery, uncertainty, and guess-work out of selecting and purchasing MDM software products. Based upon a framework that describes the model of an ideal MDM product, you will learn about a structured process of product evaluation and selection.

Instructor: Andy Hayler

Without a comprehensive data quality monitoring program bad data spread like viruses through countless real-time and batch interfaces. This 4-hour course discusses various practices that can be put in place to maintain high data quality through data integration.

Instructor: Arkady Maydanchik

This 6-hour course gives comprehensive treatment to the process and practical challenges of data quality assessment. It starts with systematic treatment of various data quality rules and proceeds to the results analysis and building aggregated data quality scorecard.

Instructor: Arkady Maydanchik

The data is one of the four critical resources in an organization, along with the financial resource, real property, and the human resource. This 3-hour course provides an in-depth analysis of the impact of data disparity on the organization, and outlines best practices for data resource management.

Instructor: Mike Brackett

This 4-hour course provides a comprehensive view of the critical elements for MDM success including business, architectural, people, process, project, and technology considerations. Learn from the real-world experiences of the instructor what it takes to make MDM work.

Instructor: William McKnight

Most of the burden for data governance success falls on business users of information. This 3-hour course covers basic data governance concepts that business participants need to understand and describes the steps that they can take to make governance a successful business initiative.

Instructor: John Ladley

This 5.5-hour course works through three case studies, while teasing out the principles needed to create successful data quality organizations. It also offers in-depth discussion of the critical first step on the road to data quality management – developing and delivering business case for data quality.

Instructor: Tom Redman