First Advisor
Bowles, Robert
Second Advisor
Plantz-Masters, Shari
Third Advisor
Likarish, Daniel
College
College for Professional Studies
Degree Name
MS Information Technology Management
School
School of Computer & Information Science
Document Type
Thesis - Open Access
Number of Pages
92 pages
Abstract
Data is collected from a number of entities within the business environment; it is the essential component that guides the decision making process. Data management is a topic that continues to be discussed as our ability to collect and store data expands. The purpose of this study was to determine whether the data, in the context of the enterprise and its management, was understood allowing best practice data collection and storage policies to be defined. Data collection and storage are tightly coupled in the discussion of storage growth. The literature review showed that a number of data management lifecycles and solutions exist that support storage management policies, but do not focus upon controlling storage growth. Policies that affect or control storage growth do not necessarily reside within the application. This study deployed a survey that collected data which defined the problem area within the business enterprise. The survey data revealed that management does not understand the cost of storage nor data value. Furthermore, it was determined that the preferred method within the enterprise to handle the growing data was to expand storage. In addition to the survey, two interviews were used to substantiate the findings making the study a mixed method approach. The scope of the study was to define or provide a method to define best practice policies that would reduce or control storage growth. The findings have led to the development of the storage quadrant framework that provides the enterprise a method to define best practice policies.
Date of Award
Spring 2011
Location (Creation)
Colorado (state); Denver (county); Denver (inhabited place)
Copyright
© Anthony Daubenmerkl
Rights Statement
All content in this Collection is owned by and subject to the exclusive control of Regis University and the authors of the materials. It is available only for research purposes and may not be used in violation of copyright laws or for unlawful purposes. The materials may not be downloaded in whole or in part without permission of the copyright holder or as otherwise authorized in the “fair use” standards of the U.S. copyright laws and regulations.
Recommended Citation
Daubenmerkl, Anthony, "Understanding Data Within The Enterprise To Control Or Reduce Data Storage Growth" (2011). Regis University Student Publications (comprehensive collection). 738.
https://epublications.regis.edu/theses/738