PM7: Bringing Big Data into Your Enterprise Data Management Program
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  Anne Marie Smith   Anne Marie Smith
Principal Consultant
EWSolutions, Inc.
  Michael Jennings   Michael F. Jennings
Senior Director, Enterprise Data Architecture
Walgreens Boots Alliance


Monday, March 30, 2015
01:30 PM - 04:45 PM

Level:  Intermediate

Although many organizations have established the basic foundation of an enterprise data management framework, they may not understand how to include the emerging technology capabilities like big data into the established functions. Therefore, these organizations struggle with integrating big data into their organization’s data management program.

This tutorial will address ways to incorporate big data concepts and technologies into the normal operation of your organization’s enterprise data management framework. Focusing on each part of the DAMA-DMBOK© wheel, the tutorial will outline a methodology for including big data successfully in any organization of any size. Finally, the tutorial will cover real world issues, challenges and obstacles that many programs encounter – and how to avoid or mitigate them.

Learning Objectives:

  • Big Data – an Enabler of an Enterprise Data Management Program
  • Opportunity to integrate Big Data into Data Management Implementation Phases and Steps – A Practical Approach to a Methodology’s Enhancement
    • Based on the DAMA-DMBOK framework
  • Socializing, Communicating, and Marketing Big Data as an enabler for Data Management across the organization
  • Improving Data Management through utilizing Big Data into Existing Projects and Organizational Processes
  • Engaging Business Support and Participation for the Enhanced Enterprise Data Management Program by leveraging Big Data where it makes sense
  • Sustaining a Data Management Program, including Big Data
    • Maintaining business relevance and interest
    • Continuing to engage IT and receive support
  • Challenges to a Successful Enterprise Data Management Program that includes Big Data
    • Risks
    • Avoidance and Mitigation Techniques
    • Governance

Anne Marie Smith, Ph.D. is Principal Consultant with over 20 years experience in enterprise information management. She is a certified data management professional (CDMP) and is a frequent speaker and author on data management topics. Anne Marie has consulted in areas such as enterprise information management assessment and program development, data governance, data warehousing, business requirements gathering and analysis, metadata management, information systems planning and EIM project management. She has taught numerous workshops and courses in her areas of expertise. Anne Marie holds the degrees Bachelor of Arts and a Master's of Business Administration in Management Information Systems from La Salle University; she earned a Ph.D. in MIS at Northcentral University. Anne Marie was granted the DAMA International Professional Achievement Award in 2015.

Michael Jennings is a recognized industry expert in enterprise information management. He has more than twenty-five years of information management experience in various industries. Mike speaks frequently on enterprise information management concepts and practices at major industry conferences. He is a co-author of the book "Universal Meta Data Models" (2004) and a contributing author to the books "Building and Managing the Meta Data Repository" (2000) and “The DAMA Guide to the Data Management Body of Knowledge - DMBOK” (2009). Mike was recognized with the 2013 DAMA International Professional Achievement Award and as one of Information Management Magazine’s 25 Top Information Managers for 2012.

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