ABSTRACT
This paper is the first in a series aimed at Master Data Management (MDM)-related challenges, and is geared towards a business audience and presents a high level overview of the approach and the methodology implemented by Adastra on numerous MDM and Product Information Management (PIM) projects. Leveraging this experience as well as extensive Business Intelligence and Extract-Transform-Load tool selections, we discuss the selection methods that should be applied to the PIM tool-selection process in order to minimize risk for organizations as they plan their PIM technology investment. Subsequent papers will address PIM implementation-specific challenges and solutions.
ABOUT THE AUTHOR
Daniel Fisla is a Master Data Management consultant at Adastra Corporation, where he has consulted on and implemented projects for some of the largest companies in the Manufacturing, Telecommunications, and Healthcare industries. He has a wealth of experience in pre-sales consulting, proposals, business analysis, and software development. Daniel holds B.Sc. in Computer Science degree from University of Toronto.