Improving Data Quality in Intelligent eCRM Applications

2018 ◽  
pp. 1616-1626 ◽  
Author(s):  
Bashar Shahir Ahmed ◽  
Fadi Amroush ◽  
Mohammed Ben Maati
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Business Process ◽  
Business Intelligence ◽  
Business Processes ◽  
Global Market ◽  
Integrated Systems ◽  
Business Intelligence Systems ◽  
Tools And Techniques

Today most of the businesses are in continuous search of sophisticated tools and techniques to progressively grow their business. And therefore, the use of intelligence systems has found its pace in the global market. The intelligence systems has mostly effected the E-CRM as it is the most critical and central part for the growth of the business. The E-CRM approaches have enhanced drastically with an integration of the business intelligence systems and organizations are now diligently striving for excellence by gaining benefit from these integrated systems. However, there are many organizations which lag behind in escalating their progress and growth as they have not yet understand how to improve the data quality by using business intelligence systems and therefore used it for decision making. Hence, the following research is conducted to study the implementation trends of Intelligence E-CRM in business process and how the business intelligence systems could help in improvising the data quality and the business processes.

The Intelligence of E-CRM Applications and Approaches on Online Shopping Industry

2019 ◽  
pp. 70-82
Author(s):  
Bashar Shahir Ahmed ◽  
Fadi Amroush ◽  
Mohammed Ben Maati
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Business Process ◽  
Business Intelligence ◽  
Business Processes ◽  
Online Shopping ◽  
Global Market ◽  
Integrated Systems ◽  
Business Intelligence Systems ◽  
Tools And Techniques

Today, most businesses are in continuous search of sophisticated tools and techniques to progressively grow their business. Therefore, the use of intelligence systems has found its pace in the global market. The intelligence systems has mostly affected the E-CRM as it is the most critical and central part for the growth of the business. The E-CRM approaches have enhanced drastically with an integration of the business intelligence systems and organizations are now diligently striving for excellence by gaining benefit from these integrated systems. However, there are many organizations that lag behind in escalating their progress and growth as they have not yet understand how to improve the data quality by using business intelligence systems and therefore used it for decision making. Hence, the following research is conducted to study the implementation trends of intelligence E-CRM in business process and how the business intelligence systems could help in improvising the data quality and the business processes.

Data Profiling and Data Quality Metric Measurement as a Proactive Input into the Operation of Business Intelligence Systems

2014 ◽  
pp. 253-270
Author(s):  
Scott Delaney
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Business Intelligence ◽  
Intelligence System ◽  
Use Of Data ◽  
Data Profiling ◽  
Business Intelligence Systems ◽  
Profiling Techniques ◽  
System Data ◽  
Taking Action

Business intelligence systems have reached business critical status within many companies. It is not uncommon for such systems to be central to the decision-making effectiveness of these enterprises. However, the processes used to load data into these systems often do not exhibit a level of robustness in line with their criticality to the organisation. The processes of loading business intelligence systems with data are subject to compromised execution, delays, or failures as a result of changes in the source system data. These ETL processes are not designed to recognise nor deal with such shifts in data shape. This chapter proposes the use of data profiling techniques as a means of early discovery of issues and changes within the source system data and examines how this knowledge can be applied to guard against reductions in the decision making capability and effectiveness of an organisation caused by interruptions to business intelligence system availability or compromised data quality. It does so by examining issues such as where profiling can be best be applied to get appropriate benefit and value, the techniques of establishing profiling, and the types of actions that may be taken once the results of profiling are available. The chapter describes components able to be drawn together to provide a system of control that can be applied around a business intelligence system to enhance the quality of organisational decision making through monitoring the characteristics of arriving data and taking action when values are materially different than those expected.

scholarly journals The Application of Business Intelligence Systems in Logistics. Review of Selected Practical Examples

2019 ◽  
Vol 1 (1) ◽  
pp. 1028-1035
Author(s):  
Aleksandra Grabińska ◽  
Leszek Ziora
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Case Studies ◽  
Business Intelligence ◽  
Business Processes ◽  
Business Analytics ◽  
Business Intelligence Systems ◽  
Decision Making Processes

AbstractThe goal of the paper is to present the application of Business Intelligence systems belonging to the area of business analytics in the domain of logistics and particularly indicate its role and meaning in supporting logistics decision making processes. Its content embraces the characteristic of BI systems, its functionality, construction and benefits resulting from its implementation. The paper also presents review of research and case studies connected to the BI usage in such areas of logistics as optimization of supply chain, managerial dashboard design and improvement of business processes.

Data Profiling and Data Quality Metric Measurement as a Proactive Input into the Operation of Business Intelligence Systems

2016 ◽  
pp. 2171-2188
Author(s):  
Scott Delaney
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Business Intelligence ◽  
Intelligence System ◽  
Use Of Data ◽  
Data Profiling ◽  
Business Intelligence Systems ◽  
Profiling Techniques ◽  
System Data ◽  
Taking Action

Business intelligence systems have reached business critical status within many companies. It is not uncommon for such systems to be central to the decision-making effectiveness of these enterprises. However, the processes used to load data into these systems often do not exhibit a level of robustness in line with their criticality to the organisation. The processes of loading business intelligence systems with data are subject to compromised execution, delays, or failures as a result of changes in the source system data. These ETL processes are not designed to recognise nor deal with such shifts in data shape. This chapter proposes the use of data profiling techniques as a means of early discovery of issues and changes within the source system data and examines how this knowledge can be applied to guard against reductions in the decision making capability and effectiveness of an organisation caused by interruptions to business intelligence system availability or compromised data quality. It does so by examining issues such as where profiling can be best be applied to get appropriate benefit and value, the techniques of establishing profiling, and the types of actions that may be taken once the results of profiling are available. The chapter describes components able to be drawn together to provide a system of control that can be applied around a business intelligence system to enhance the quality of organisational decision making through monitoring the characteristics of arriving data and taking action when values are materially different than those expected.

Implementation System of Business Intelligence System In The Company

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Abdul Hamid Arribathi ◽  
Maimunah Maimunah ◽  
Devi Nurfitriani
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Research Library ◽  
Decision Making Process ◽  
Intelligence System ◽  
Business Intelligence Systems

This study aims to determine the stages that must be implemented in building a Business Intelligence System structured and appropriate in building Business Intelligence Systems in an organization, and understand the important aspects that must be considered for investment development Business Intelligence System is increasing. Business must be based on the conditions and needs of the organization in achieving the desired goals. If these conditions occur, then the decision-making process will be better and more accurate. The purpose of this study is to determine the important aspects that must be understood and prepared in using the Business Intelligence System in an organization. The method used is the explanation as well as the research library of several books, articles and other literature.

scholarly journals Reengineering of supply chain management integrated scheduling processes

2018 ◽  
Vol 193 ◽  
pp. 05064 ◽  
Author(s):  
Ekaterina Kuleshova ◽  
Anastasia Levina ◽  
Rustam Esedulaev
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Business Process ◽  
Business Processes ◽  
Current Practice ◽  
Oil And Gas ◽  
Chain Management ◽  
Integrated Scheduling ◽  
Data Flows

The paper describes the principle of the reengineering of supply chain management integrated scheduling processes in order to increase in efficiency of business process and decrease the decision-making time at collision of plan-fact deviations. The basic concept of business-processes reengineering is analyzed. The experience of reengineering of supply chain integrated scheduling business processes for the oil and gas branch is presented. The bottlenecks of the current practice were revealed. The purpose of this paper is to carry out recommendations for improving business processes based on an analysis of the current realization of the process, his provision with information systems and data flows.

A Study On Risks Involved In Using Different Business Process Tools And Techniques To Manage Them

2021 ◽  
Vol 23 (09) ◽  
pp. 221-240
Author(s):  
Amanina Fakhriah Abd Rahman ◽  
◽  
Nursyaza Elmaliyana Nabilah Ali Rahman ◽  
Siti Aisyah Abdullah Rosneddin ◽  
Siti Nur Aqilah Hamzah ◽  
...  
Keyword(s):  
Risk Management ◽  
Business Process ◽  
Business Processes ◽  
Control Measures ◽  
Risk Assessments ◽  
Tools And Techniques ◽  
Plan Management

This paper shows the outcome of the research conducted on risks while using business process tools and techniques applied to manage them. The study aims at getting answers for basic questions about risk management, such as what kind of risks the the businesses are encountering, and how to identify the risks and assess them. Risk assessments are very important as they form an integral part of plan management. Therefore, in this study, the aim is to evaluate the risks in different business processes along with the tools and techniques to manage or minimize the level of risks by adding more control measures as necessary.

Understanding the Influence of Business Intelligence Systems on Information Quality

2014 ◽  
pp. 20-43
Author(s):  
Aleš Popovič ◽  
Jurij Jaklič
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Information Quality ◽  
Positive Impact ◽  
Information Access ◽  
Present Level ◽  
Content Quality ◽  
Competitive Environments ◽  
Business Intelligence Systems ◽  
Complex Picture

The IS literature has long highlighted the positive impact of information provided by Business Intelligence Systems (BIS) on decision-making, particularly when organizations operate in highly competitive environments. The primary purpose of implementing BIS is to utilize diverse mechanisms to increase the levels of the two Information Quality (IQ) dimensions, namely information access quality and information content quality. While researchers have traditionally focused on assessing IQ criteria, they have largely ignored the mechanisms to boost IQ dimensions. Drawing on extant literature of BIS and IQ, the research sought to understand how, at its present level of development, BIS maturity affects IQ dimensions, as well as the role that business knowledge may exert in mobilizing this link. The authors test the hypotheses across 181 medium and large organizations. Interestingly, the data describe a more complex picture than might have been anticipated.

Enterprise Integrated Business Process Management and Business Intelligence Framework for Business Process Sustainability

2018 ◽  
pp. 228-238
Author(s):  
Gaurav Kabra ◽  
Vinit Ghosh ◽  
A. Ramesh
Keyword(s):  
Business Process ◽  
Business Intelligence ◽  
Operations Management ◽  
Business Process Management ◽  
Process Management ◽  
Management Practices ◽  
Business Processes ◽  
Architecture Framework ◽  
Modern Business ◽  
Information And Communication

In the modern business scenario, organizations are vesting high efforts in managing process sustainability as part of their operations management practices. The global environmental concerns for the welfare of the society have facilitated this change. Research studies have reported Information and Communication Technology (ICT) as one of the prerequisites in developing and maintaining efficient business processes. The process sustainability related initiatives and various processes related regulatory compliances have created the need for sophisticated IT tools like BPM (Business Process Management) and BI (Business Intelligence) in organizations. Thus with the advancement of ICT, a strong desire to enhance the business process performance through BPM and BI applications is felt across organizations. However, there is scant research available on leveraging the advantages of these applications in sustainability development. Therefore, this paper aims to present a conceptual architecture framework using an integrated BPM and BI solution to develop an orientation among practitioners and academicians towards the inclusion of ICT in attaining a sustainable, energy efficient business operations or processes. The framework is based on the literature pertaining to the role of BPM and BI in process sustainability as well as from the inputs of practitioners involved in the field of BPM and BI.

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