Information Management Fundamentals

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by Christopher Bradley download a PDF brochure Download Event Brochure

From Monday May 8 2017 to Wednesday May 10 2017

Price: 1,700.00 Euro

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Residenza di Ripetta
Via di Ripetta 231
00186 Roma (RM)

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Description

This 3-day course addresses all the Information Management disciplines as defined in the DAMA body of knowledge (DMBoK) & introduces the “new” discipline od Data Integration being introduced in DMBoK 2.0. Taught by an industry recognized DAMA DMBoK(2.0) author and CDMP(Fellow) this course provides a solid foundation across all of the disciplines across the complete Information Management spectrum. By attending the course, delegates will get a firm grounding of the core Information Management concepts and illustrate their practical application with real examples of how Information Architecture is applied. Additionally this course provides a solid foundation for students wishing to consider proceeding to take the Industry professional DAMA CDMP certification.

What you will learn

  • Learn about the need for and application of Information Management disciplines for different categories of challenges
  • Explore an Information Management framework and understand how it aligns with other architecture frameworks
  • Explore concepts such as lifecycle management, normalisation, dimensional modelling and data virtualisation and why they are important
  • Understand the critical roles of Master Data Management and Data Governance and how to effectively apply them
  • Learn the different MDM architectures, their suitability for different needs and how best to implement Master Data Management approaches
  • Develop a set of usable techniques that can be applied to a range of information management challenges
  • Learn the best practices for managing Enterprise Information needs
  • Through practical examples, learn how to apply techniques in information architecture planning

Main Topics

  • Data Governance
  • Data Quality Management
  • Master and Reference Data Management
  • Business Intelligence & Data Warehousing
  • The essential role of Data modelling
  • Data Lifecycle Management
  • Metadata Management
  • Risk, Security & Regulatory compliance
  • Data Operations
  • Content & Records Management
  • Data Integration & Interoperability