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Information Management (IM) is a broad and diverse field that encompasses many different disciplines. The overlaps and relationships among multiple disciplines make IM a complex field that is rich with opportunities. Ever increasing business dependency on data and information makes IM an essential competency for business success. Frequent innovations and technological advances drive continuous learning and growth. To understand the full scope of IM you need to know something about topics ranging from databases to data science. Every data and information professional from novice to highly-experienced becomes a better collaborator and more valuable team member when they have broad knowledge of the roles, responsibilities, and contributions of other IM professionals.
This 5-hour online course provides an overview across the entire scope of information management. It describes each of 18 IM disciplines and the relationships among them, and explains the purpose and processes of each discipline.
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You will learn:
- Scope and many disciplines of information management
- The importance of knowing the data, and how data knowledge is managed
- The goals, purposes, and practices of data governance
- The complexities, dimensions, and disciplines of data resource management
- The purpose, processes, and practices of business intelligence and analytics
- The concepts and business applications of data science
The course is well-suited to anyone who:
- Wants to increase data literacy by understanding the many dimensions of information management
- Is interested to learn the basics of information management
- Works in a specific area of information management and needs to learn about related IM disciplines and practices
- Is preparing for in-depth study in one or more areas of IM
- Needs to understand IM to be more effective in business or IT management
Information Management Fundamentals
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IMF-01-00 About the Course (8 min)
IMF-01-01 Information Management Overview (25 min)
- Information Management Defined
- The Scope of Information Management
IMF-01-02 Data Modeling and Metadata Management (63 min)
- Understanding the Data
- Data Modeling
- Metadata Management
IMF-01-03 Content Management and Enterprise Information Management (59 min)
- Information Supply and Demand
- Content Management
- Enterprise Information Management
IMF-01-04 Data Quality and Data Governance (57 min)
- Data Utility
- Data Quality
- Data Governance
IMF-01-05 Data Integration, Data Warehousing, and MDM (60 min)
- Data Resource Consolidation
- Data Integration
- Data Warehousing
- Master Data Management
IMF-01-06 Business Intelligence, Business Analytics, and Performance Management (34 min)
- Applied Information
- Business Intelligence
- Business Analytics
- Performance Management
IMF-01-07 Data Mining and Predictive Analytics (14 min)
- Discovery and Inference
- Data Mining and Predictive Analytics
- Information Management Professionals
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Click - here - to download a more detailed outline of this course.
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This exam tests knowledge and understanding of basic concepts, principles, and terminology of the 14 disciplines comprising information management.
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You will be tested in these areas:
- The scope and dimensions of information management
- The concepts, processes, and practices of managing data knowledge
- The concepts, processes, and practices of data governance
- The concepts, processes, and practices data resource management
- The concepts, processes, and practices of Business Intelligence (BI) and analytics
- The concepts, processes, and practices of data mining and data science
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Additional Information
Number of Questions: 25
Time Limit: 50 Minutes
Passing Score: 70%
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Once you pass the exam, you will receive a Certificate of Education documenting that you have demonstrated mastery of the topic. Further, the exam counts towards
Certified Information Management Professional (CIMP) designation in Information Management Foundations and Data Governance tracks.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about CIMP exams.
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Course Review 
Course Review 