Challenges of Data Management in Always-On Enterprise Information Systems

2011 ◽  
pp. 1695-1714 ◽  
Author(s):  
Mladen Varga
Keyword(s):  
Information Systems ◽  
Data Management ◽  
Data Privacy ◽  
Data Governance ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Degradation Data ◽  
Association Data ◽  
Data Continuity ◽  
Integration Data

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.

Challenges of Data Management in Always-On Enterprise Information Systems

2010 ◽  
pp. 443-462
Author(s):  
Mladen Varga
Keyword(s):  
Information Systems ◽  
Data Management ◽  
Data Privacy ◽  
Data Governance ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Degradation Data ◽  
Association Data ◽  
Data Continuity ◽  
Integration Data

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.

Challenges of Data Management in Always-On Enterprise Information Systems

2010 ◽  
pp. 109-128 ◽  
Author(s):  
Mladen Varga
Keyword(s):  
Information Systems ◽  
Data Management ◽  
Data Privacy ◽  
Data Governance ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Degradation Data ◽  
Association Data ◽  
Data Continuity ◽  
Integration Data

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.

An investigation into the role of enterprise information systems in enabling business innovation

2015 ◽  
Vol 21 (4) ◽  
pp. 771-790 ◽  
Author(s):  
Luay Anaya ◽  
Mohammed Dulaimi ◽  
Sherief Abdallah
Keyword(s):  
Information Systems ◽  
Case Studies ◽  
United Arab Emirates ◽  
Clear Understanding ◽  
Business Practices ◽  
Enterprise Information ◽  
Content Type ◽  
Enterprise Information Systems ◽  
Business Innovation

Purpose – The purpose of this paper is to articulate clear understanding about the role of enterprise information systems (EIS) in developing innovative business practices. Particularly, it aims to explore the different ways that make EIS enables innovation development. Design/methodology/approach – The study adopted exploratory case study, based on qualitative approach. Investigations included two case studies each involved interviewing a number of senior information technology staff, working at these cases. Findings – The paper provides empirical insights about the EIS role in enabling innovation. The analysis of the case studies revealed that integrating an EIS with other system(s) or with digital devices can provide new practices that could not be easily available without these technologies. The study also found that applying data analytics tools into data accumulated from EIS, to extract new insights, lead to innovative practices. Practical implications – The study provides a set of recommendations for organizations interested to maximize the benefits from their investments in EIS. Originality/value – The paper provides evidences from cases in United Arab Emirates for the EIS role in enabling business innovation.

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