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Information Management (IM) is a broad and diverse field that encompasses many different disciplines and practices. Effective information management comprises a continuum of people, process, and technical dimensions that range from data collection to decision-making. Considering information in all of its forms from raw data to business analytics, information management practices address architecture, governance, quality, modeling, integration, transformation, visualization, and much more.


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Information Management Fundamentals Fundamentals of Business Intelligence
Conference Price: $1,000.00
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Conference Price: $1,000.00
Our Price: $395.00

Information Management (IM) is a broad and diverse field that encompasses fourteen distinct disciplines.

Instructors: David Wells

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

Master Data Management Fundamentals and Best Practice Data Governance Fundamentals
Conference Price: $725.00
Our Price: $335.00
Conference Price: $600.00
Our Price: $295.00
MDM Fundamentals and Best Practices

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

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 Fundamentals Data Quality Fundamentals
Conference Price: $725.00
Our Price: $320.00
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Conference Price: $750.00
Our Price: $345.00

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

Instructors: Jim Thomann and David Wells

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