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

(85)

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

(131)

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

(27)

This 4-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

(66)

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

(19)

In this 5.5-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

(15)

Data Stewards are important leaders in information management programs. This 3.5-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

(37)

This 5.5-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

(10)

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

(6)

This 3.5-hour online course addresses the technical community as well as the user community, providing guidance on how to penetrate and benefit the enterprise. This practical session will help you make the most of big data and make the best choices to ensure information remains an unparalleled corporate asset.

Instructors: William McKnight and Jake Dolezal

(3)

This 4.5-hour This course re-defines the scope of the “modern” data warehouse. The need for planning and the role of architecture are described and clarified, followed by a discussion about the challenges related to gathering useful information requirements. This is followed by a discussion of design approaches, development, testing and quality management techniques.

Instructor: Mark Peco

This 3.5-hour online course addresses the emerging class of NoSQL technologies for managing operational big data. This includes key-value, column stores, document stores and graph databases. Learn about the ideal workloads for NoSQL in enterprises and where NoSQL adds value to an enterprise information strategy. Learn how to get the projects started or dropping the “not in production” label.

Instructors: William McKnight

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

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

(5)

Data errors multiply and spread like viruses through data consolidation processes and ongoing data interfaces. This 5-hour course discusses various practices that can be put in place to maintain high data quality through data integration.

Instructor: Arkady Maydanchik

(41)

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

(74)

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

(81)

To take advantage of the worldwide marketplace, businesses need to manage data globally. This reality poses very specialized and unique kinds of problems in data management. In this 4.5-hour course you will learn to identify and avoid the pitfalls of global information.

Instructors: Kathy Hunter, William McKnight, Henrik Sørensen

(17)

This in-depth 4-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

(5)

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

(3)

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

(3)

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

(18)

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

(10)

In this 4-hour course you will learn a step-by-step approach to assessing BI operations based on the Business Intelligence Capability Maturity Model. Each component of the model is fully defined and a set of evaluation and assessment tools are described. Ratings, specific targets and scales are explained.

Instructor: Dorothy Miller

(1)

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

(16)

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

(9)

Much like any other important endeavor, success in data quality depends on having the right people in the right jobs. This 3.5-hour course works through three case studies, while teasing out the principles needed to create successful data quality organizations.

Instructor: Tom Redman

(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

(42)

This 4-hour course provides an introduction to the concepts, techniques and applications of SPC within the context of information management. The theory of SPC is introduced and the design of control charts is discussed as a basis for describing how a diverse range of data and process quality management challenges can be addressed.

Instructor: Mark Peco

(14)

By learning from your abundant historical data, predictive analytics delivers something beyond standard business reports and sales forecasts: actionable predictions for each customer. This 5-hour online course goes from fundamentals and best practices to hands-on discussion of predictive analytics models and their applications.

Instructor: Eric Siegel

(15)