Data Management Association - New York Chapter

An Organization For Information Management Professionals 
The Data Administration Management Association of New York, DAMA-NY, explores the role of information management in today's competitive global market place. DAMA-NY events bring together the best and the brightest to present and discuss the new strategies which are changing the way business is done in the information age.

DAMA-NY is the organization for business executives with information needs, for information managers who must be aware of emerging management techniques, and for information management professionals who wish to acquire the latest skills.

DAMA-NY pursues four principal goals:

Promotion of information management as a tool within the context of an overall business environment.
Presentation of new trends and techniques to keep members abreast of new developments in the field.
Continuing professional development to ensure that our professionals are well informed and well educated.
Creation of networking opportunities for the membership throughout the New York metropolitan area and the international community of information professionals via DAMA-International Internet access.

DAMA-NY 
PO Box 700
Commack
New York 11725

 (877) 659-4309

 

 

Peter Aiken Data Blue print
Monitizing Data management
June 21, 2012
9:00 AM - 12:00 PM
CA Formerly Computer Associates
520 Madison Avenue (53rd ST)
New York, NY 00000
$0.00 Standard member Meeting

$0.00 Guest

 

                                                           Monetizing Data Management

Organizations have lost millions due to poor data management practices, but remain unaware of the root causes of their losses. Unless IT professionals can monetize these lost opportunities and their related costs, gaining executive-level approval for basic data management investments will continue to be difficult. This sets up an unfortunate loop: executive management is focused on fixing symptoms, but cannot address the underlying problems. This talk illustrates how to identify specific costs of poor data management practices using examples from HR, Financial, Supply Chain, and compliance. As organizations understand poor data management practices as the root cause of many of their problems, they will be more than willing to make the required investments in our profession.