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How to Assess Your Data Management Program’s Ability to Support Data Science

May 22

Free

Session Time and Date

Monday, May 22nd from 2pm – 3pm CDT

How To Attend A Live Conference Session

Steps to Follow

  1. Click the link below to attend:
  2. Register
    • Name and Email
  3. Join the conference session by click the link on the GoToWebinar confirmation email

Presentation Description

Many organizations do not know the current state of their data management function and capabilities. Therefore, they do not know their areas of strength or the challenges they face in each component of enterprise data management. This lack of knowledge makes it extremely difficult for the organization to improve their performance in data management and to engage in effective data science, analytics, or big data efforts. The solution lies in performing an enterprise data management assessment. This presentation will present a practical approach to assessing all the areas of enterprise data management using an industry standard framework and a proven method of assessment, focused on the benefits that an assessment provides to data science capabilities. Attendees will learn about the components the data management function and the assessment framework that is based on the Capability Maturity Model ©. Additionally, the presentation will cover real world issues, challenges and obstacles that many enterprise data management and data science programs encounter – and how to avoid or mitigate them.

Agenda:

  • Data and Information Management Concepts
  • Enterprise Information Management – Introduction
  • EIM Framework Components
  • Data Science and EIM
  • Assessing Data Management Maturity
  • EIM Maturity and Assessment Model
  • Measuring EIM Success
  • Conclusion, Questions, Discussion

Other

Primary Speaker First Name
Anne Marie
Primary Speaker Last Name
Smith
Primary Speaker Bio
Anne Marie Smith, Ph.D., Vice President of Education and Chief Methodologist with EWSolutions (http://www.ewsolutions.com) is a leading consultant in Data and Information Management. Anne Marie is a frequent contributor to various information technology publications, and was a major contributing author to the DAMA-Data Management Body of Knowledge (DAMA-DMBoK ©). Anne Marie has over 20 years of experience in information management initiatives, and is considered an expert in enterprise data management assessment, enterprise data management program development, metadata management, with numerous successful consulting engagements to her credit. She is recognized as a leader in the field of data governance. Dr. Smith is an acclaimed speaker and has presented numerous keynote addresses, courses, and seminars at conferences and symposia on many topics in the data management discipline. She serves as the Executive Editor of the Enterprise Information Management Institute (http://www.EIMInstitute.org) and was Editor in Chief of the online journal Real World Decision Support. 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 PhD in MIS at Northcentral University. Anne Marie has earned the designations of Certified Data Management Professional (CDMP) and Certified Business Intelligence Professional (CBIP) and holds project management and facilitation certification. Additionally, Anne Marie received the DAMA International Professional Achievement award in 2015 for excellence in enterprise information management and data governance leadership and education. Anne Marie can be reached at amsmith@ewsolutions.com
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