eLearningCurve

In this 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

The data resource is one of the four critical resources in an organization, equivalent with the financial resource, real property, and the human resource. This course, taught by data management veteran Michael Brackett, provides an in-depth analysis of the impact of data disparity and poor data quality on the organization, and offers 10 sets of best practices related to the architecture and governance components of data resource management.

Instructor: Mike Brackett

In this course you will learn the secrets of successful conceptual data modeling. You will gain valuable insights into the job and responsibilities of the data modeler as well as the responsibilities of other data modeling contributors.

Instructors: David Haertzen

Today, if most CIOs are asked about the assets under their control, a primary asset being data, 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 course will provide a plan to make effective use of this key asset – data.

Instructors: Sid Adelman

Many information management and governance initiatives originate in business areas, but the realities of sustaining governance need to be fully understood before real change occurs. A solid business case, ongoing measures, and changing old data habits are essential to long-term success. This course covers basic governance concepts that business participants need to understand and describes the steps that they can take to make governance a successful business initiative.

Instructors: John Ladley

A data governance program encompasses all of the policies, standards, processes, people, and technology that are essential to managing critical data assets. Successful data governance programs are matched to an organization's culture, information maturity, priorities, and sponsorship.

Instructors: Theresa Kushner and Maria Villar

Data modeling has many purposes in information management including analysis, design, documentation, and standardization.

Instructors: Jim Thomann and David Wells

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. In this course you will learn all practical skills necessary to succeed in a data profiling initiative.

Instructor: Arkady Maydanchik

More and more companies initiate data quality programs and form data stewardship groups every year. The starting point for any such program must be data quality assessment. Yet in absence...

Instructor: Arkady Maydanchik

Data quality is a large and complex field with many dimensions. Every data quality practitioner needs a foundation of concepts, principles, and terminology that are common in quality management. Building upon...

Instructor: David Wells

Data Stewards are important leaders in a company's information management program. This course provides an overview of the concepts and practices of data stewardship. The course covers fundamental topics ranging from definitions, terminology and types of data stewards to more in-depth implementation role and responsibilities topics. The final module of the course provides helpful tips and techniques to get started and be successful.

Instructors: Maria Villar

Entity-Relationship and dimensional modeling techniques have expanded and matured as best practices have emerged from years of experience in data modeling in enterprises of all sizes and industries. This 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.

Instructors: Rick Sherman

Corporate data universe consists of numerous databases connected by countless real-time and batch data interfaces. The data continuously move about and change. The databases are endlessly redesigned and upgraded, as are the programs...

Instructor: Arkady Maydanchik

In this 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.

Instructors: Mark Peco

This course is FREE!

Information Management (IM) is a broad and diverse field that encompasses fourteen distinct disciplines. For those who are just starting and IM career the scope and complexity can be somewhat daunting. Even seasoned IM professionals don’t typically have knowledge of and experience in all of the disciplines. This course provides a high-level view across the entire scope of information management: What are the disciplines and how do they fit together.

Instructors: David Wells

In this course you will learn the secrets of successful logical data modeling. You will gain valuable insights into the job and responsibilities of the data modeler as well as the responsibilities of other data modeling contributors.

Instructors: David Haertzen

In this course you will learn what MDM is all about. You will understand the terminology used, the different styles and architectures of MDM, and the best (and worst) practices for MDM programs.

Instructor: Andy Hayler

In this course, you will receive a comprehensive view of the critical elements for MDM success including business, architectural, people, process, project, and technology considerations.

Instructor: William McKnight

This in-depth workshop 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

A frequently overlooked aspect of data quality management is that of data model quality. We often build data models quickly, in the midst of a development project, and with the singular goal of database design.

Instructor: Steve Hoberman