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• Internationally recognized expert and speaker in the fields of enterprise information management, data modeling, meta data management and data warehousing, one of the top industry experts in data governance and information management strategy and planning
• Over 20 years experience in delivering solutions in enterprise information management for numerous companies / clients across varied industries
• Published over 50 articles that have been featured in some of the industry’s most prestigious magazines and newsletters
• Contributing author to the DAMA Data Management Body of Knowledge (DMBOK)
• Has taught at several institutions of higher learning including LaSalle University
• Holds certifications in PMP, CDPM and has earned a PhD in Management Information Systems
• Editor-in-Chief, Real World Decision Support journal: http://www.realworlddecisionsupport.com
The Data Management profession has members who are entrusted with the information of major organizations.
Many, if not most, of these professionals work for large organizations and are charged with definition, development, and management of the mission-critical information stores of significant organizations of the world.
Most of these professionals have been out of college for 15 to 20 years – this is not an entry-level profession
IT Classification: 2200 – Data Management is part of this general classification
Skills listed in 2210 are mostly physical database administration, little acknowledgement of conceptual or logical data management skills
Development of all data management skills is essential for all data management professionals in government – conceptual and logical as well as physical
The approach taken by DAMAI Data Management curriculum includes all aspects (conceptual, logical and physical perspectives: Model for data management in the real world List of concepts in Data Management List of topics from the ICCP CDMP exams as input Body of Knowledge (BOK) for Data Management as input List of careers and job clusters from the NWET (National
Workforce Center for Emerging Technologies)1 List of education delivery channels based on the North
American model Clustering of topics for courses Cross reference matrices for the reader to study in the
development of a curriculum
1 Building a Foundation for Tomorrow – Skill Standards for Information Technology, National Workforce Center for Emerging Technologies, 1999.
CDMP-eligible Exams include: IT Core Data Management Data Warehousing Database Administration Integrated Project Management IT Management Systems Development Business Intelligence Data and Information Quality ……………
IRM/DRM Career Ladders include: Business or Systems Analysis Data Warehousing Data Analyst / Data Modeling / Architect Data Administration / Management Database Administration Project Management Data Quality Information Security Technical Trainer / Technical Writer Data or Information Architect Data Governance Co-ordinator
HENDERSON Deborah
I have change this list to include a data governance co-ordinator and have added "/architect' to the analyst modeling line. Will have to revist Marks break out and see how he handles arichtiect - we have it 2x's onthis slide now.
professional to have some exposure to most areas of data management – tree
It is important for the data management professional to choose one or a few areas for progression to mastery - ladder
Choosing leaves on the data management tree for exposure and choosing one or a few areas for mastery will create the well-rounded data management professional
Topics an area that are explored to some degree within the DAMAI Curriculum; a curriculum and /or course learning unit Topics may relate to one or more courses, and
may be combined as appropriate with other topics
Topic Cluster: is a highly related set of topics which are typically taught together – courses are developed by assembling a series of topics within a cluster and adding additional materials/topics as necessary
The Environment for Managing Data as a Resource Types of data and information General file and database processing principles Uses of Data, information, knowledge, wisdom; metadata data and information (by discipline and within DRM) Evolution of database technologies Risks and rewards of data resource management
Data Resource Management Overview
Information Systems Planning (ISP) concepts Data / Metadata Management Plans Strategic data plan (linked to business plan)
• Enterprise data / information framework• Data portfolio management• Relationship management (vendor, customer, employee) • Data quality management• Metadata management plan
Policies / Standards / Legal requirements/ Processes / Procedures• Internal to DRM• External to DRM• External to organization
There are 14 topic clusters in the DAMA Curriculum Framework
Planning for Data and Metadata Data Requirements Analysis and Documentation Data Models and Modeling Relational Data Model Data Storage Management Data Access and Database Programming Data Warehousing Data / Metadata Infrastructure Management Information and Data Security Data Quality Management Data Reliability Information Systems Project Management
Some organizations offer courses that are based on ICCP / DAMA curriculum framework
Some colleges offer data management education, visit http://www.dama.org / education for list of schools and programs
EWSolutions’ courses are certified by ICCP and State of Illinois for professional development and continuing education credits and can serve as foundation for exam preparation
http://www.ewsolutions.com/education for complete course list
Building a Foundation for Tomorrow – Skill Standards for Information Technology, National Workforce Center for Emerging Technologies, 1999. http://www.nwcet.org
DAMA International Curriculum for Post-Secondary Education http://www.dama.org
Institute for Certifying Computing Professionals (ICCP) http://www.iccp.org