CIMP IM Foundations Package includes courses and exams necessary to earn Certified Information Management Professional (CIMP) designation in Information Management Foundations track at a great discount.

CIMP Ex IM Foundations Management Package offers comprehensive education in fundamentals of all information management disciplines capped off with the highest level of Certified Information Management Professional designation (CIMP Ex) in IM Foundations track at a great discount.

Data quality is a large and complex field with many dimensions. This 4.5-hour course provides an overview of the field of data quality with the goal of building strong foundational knowledge, including terminology, concepts, principles, processes, and practices.

Instructor: David Wells

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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

(73)

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

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This online course will cover the key concepts and practices needed for a successful data science program.

Instructors: Mark Peco and Natasha Balac

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

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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

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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

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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

(4)

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 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

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This 4.5-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

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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

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