Data Management in Enterprises Under the Influence of Digital Transformation

Yordan Balabanov ()
Additional contact information
Yordan Balabanov: University of Library Studies and Information Technologies

A chapter in Eurasian Business and Economics Perspectives, 2023, pp 121-133 from Springer

Abstract: Abstract. The paper analyzes the technological challenges in data management in enterprises, where the aim of the analysis is to provide guidelines for synchronized data management, which gives the opportunity to supply up-to-date, reliable, and relevant information that is obtained in real time for sustainable corporate development. To achieve the goal set, the architectural structure of multi-cloud data storage environments is studied, as well as hybrid approaches for decentralized data management. The structural development of enterprise resource planning (ERP), customer relationship management (CRM), and business intelligence is studied, as integrated information systems, interacting with each other in the cloud as Software-as-a-Service at the stages of business process implementation in back and front office. It studies the technological development of information systems in data processing in the process of providing quality information, namely, artificial intelligence and machine learning, robotic process automation, and Internet of Things as well as blockchain technologies. The results of the research prove that investments should be made by businesses in the development of strategies for the perception of digital transformation in achieving organizational efficiency. The optimization in data management approaches contributes to building up information reliability and synchronization which has a central position in making competitive decisions in real time, which characterizes the nature of the modern “intelligent enterprise.”

Keywords: Data management; Digital transformation; Intelligent enterprise; Management information systems; Integrated systems; Innovative technologies (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:eurchp:978-3-031-30061-5_7

Ordering information: This item can be ordered from
http://www.springer.com/9783031300615

DOI: 10.1007/978-3-031-30061-5_7

Access Statistics for this chapter

More chapters in Eurasian Studies in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().