The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Challenges of Data Management in Always-On Enterprise Information Systems
Abstract
Data management in always-on enterprise information systems is an important function that must be governed, that is, planned, supervised, and controlled. According to Data Management Association, data management is the development, execution, and supervision of plans, policies, programs, and practices that control, protect, deliver, and enhance the value of data and information assets. The challenges of successful data management are numerous and vary from technological to conceptual and managerial. The purpose of this chapter is to consider some of the most challenging aspects of data management, whether they are classified as data continuity aspects (e.g., data availability, data protection, data integrity, data security), data improvement aspects (e.g., coping with data overload and data degradation, data integration, data quality, data ownership/stewardship, data privacy, data visualization) or data management aspect (e.g., data governance), and to consider the means of taking care of them.
Related Content
Tereza Raquel Merlo, Nayana Madali M. Pampapura, Jason M. Merlo.
© 2024.
14 pages.
|
Kris Swen Helge.
© 2024.
9 pages.
|
Ahmad Tasnim Siddiqui, Gulshaira Banu Jahangeer, Amjath Fareeth Basha.
© 2024.
12 pages.
|
Jennie Lee Khun.
© 2024.
19 pages.
|
Tereza Raquel Merlo.
© 2024.
19 pages.
|
Akash Bag, Paridhi Sharma, Pranjal Khare, Souvik Roy.
© 2024.
31 pages.
|
Akash Bag, Upasana Khattri, Aditya Agrawal, Souvik Roy.
© 2024.
28 pages.
|
|
|