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

CIMP & CDMP Data Quality Package includes courses and exams necessary to earn Certified Information Management Professional (CIMP) designation in Data Quality track at a great discount.

CIMP Ex Data Quality Package offers comprehensive education in data governance capped with the highest level of Certified Information Management Professional designation (CIMP Ex) in Data Quality track at a great discount.

Data quality is a large and complex field with many dimensions. This 4-hour course provides a comprehensive view of data quality fundamentals. It will help data quality practitioners in every role to understand and apply the concepts, principles, and practices of data quality management.

Instructor: David Wells

This 5-hour course provides a comprehensive overview of the many dimensions of data governance. Built upon a Data Governance Framework, the course describes data value management, leadership and governance, governance organizations, data protection, data quality management, and data governance best practices. The Data Governance Framework provides a big-picture view that is valuable when planning, organizing, organizing, and optimizing data governance programs.

Instructors: Maria Villar, Theresa Kushner, Dave Wells, Jed Summerton, Evan Levy, Tom Redman

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

This 5-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

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

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

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

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

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

Data quality scorecards have become very popular and many organizations are starting to build them. What they have found is that the path to a meaningful and useful DQ Scorecard is riddled with traps and obstacles.This 5-hour online course gives comprehensive treatment to the processes and practical challenges of data quality scorecarding.

Instructor: Olga Maydanchik

The Data Quality Specialist course, grounded in DAMA International’s Data Management Body of Knowledge (DMBOK) framework provides a comprehensive exploration of Data Quality fundamentals. This 3-hour 51-min course provides fundamental and essential knowledge for everyone with data quality responsibilities, as well as those preparing for certification.

Instructor: Michele Valentini

The objective of this 3.2-hour course explores stewardship roles, responsibilities, and practices, as well as the essential data management concepts that stewards need to understand. The course addresses current challenges including interoperability, regulatory compliance, AI-driven data usage, and the stewardship of both structured and unstructured data.

Instructors: David Wells

The objective of this 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, Arkady Maydanchik and Olga Maydanchik