Towards an assessment model of end user satisfaction and data quality in Business Intelligence systems

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.

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Measuring the success of business-intelligence systems in South Africa: An empirical investigation applying the DeLone and McLean Model

SA Journal of Information Management ◽

10.4102/sajim.v17i1.646 ◽

2015 ◽

Vol 17 (1) ◽

Cited By ~ 3

Author(s):

Taurayi Mudzana ◽

Manoj Maharaj

Keyword(s):

South Africa ◽

South African ◽

Business Intelligence ◽

User Satisfaction ◽

System Quality ◽

Information Systems Success ◽

Delone And Mclean ◽

Success Model ◽

Business Intelligence Systems

Background: Business intelligence systems (BIS) hold promise for improving organisational decision-making in South Africa. Yet, the use of BIS has been associated with a number of challenges. Objectives: The aim of the study was to identify post implementation factors that contribute to the success of BIS in South African organisations.Method: This study draws on the DeLone and McLean Model of Information Systems success and recent literature on business-intelligence (BI) to develop and test a BIS success model. A quantitative study was conducted in the form of a survey of 102 BI users to validate the BIS success model. Results: Five interrelated factors of BIS success were confirmed. The study found that the quality of information has a strong influence on system use and user satisfaction. It was found that system quality is positively associated with user satisfaction. The results also indicated that service quality is negatively related to user satisfaction. The study also found that user satisfaction is positively associated with nett benefits of a BI system.Conclusion: The study provides insights for both managers and practitioners on the factors to focus on when implementing BIS thereby minimising the adoption risks associated with BI failures.

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

Advances in Marketing, Customer Relationship Management, and E-Services - Advanced Methodologies and Technologies in Digital Marketing and Entrepreneurship ◽

10.4018/978-1-5225-7766-9.ch006 ◽

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.

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

Information Quality and Governance for Business Intelligence - Advances in Business Strategy and Competitive Advantage ◽

10.4018/978-1-4666-4892-0.ch013 ◽

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.

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The Strategic Role of Business Intelligence Systems: An Assessment Model

Management of the Interconnected World ◽

10.1007/978-3-7908-2404-9_33 ◽

2010 ◽

pp. 283-290 ◽

Cited By ~ 1

Author(s):

Cecilia Rossignoli ◽

Antonella Ferrari ◽

Lapo Mola ◽

Elisa Bertoni

Keyword(s):

Business Intelligence ◽

Assessment Model ◽

Business Intelligence Systems ◽

Strategic Role

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An End-User Metadata Model on Object and Element Levels for Business Intelligence Users

International Journal of Business Intelligence Research ◽

10.4018/ijbir.2016070104 ◽

2016 ◽

Vol 7 (2) ◽

pp. 50-58

Author(s):

Yuriy Verbitskiy ◽

William Yeoh

Keyword(s):

Business Intelligence ◽

User Satisfaction ◽

End Users ◽

End User ◽

Metadata Model ◽

Analysis Process ◽

Report Analysis ◽

Effective Use ◽

Case Organization

The effective use of metadata can offer end users an improved understanding and greater level of assurance during the Business Intelligence (BI) report analysis process. This paper reports key findings from a case study that investigates critical end-user metadata issues in a large Australian organization. The findings led to the development of an end-user metadata model on object (report and cube) and element (term and column) levels, which can support effective BI use and potentially increase user satisfaction at the case organization. The adoption and use of BI applications by business stakeholders may be improved by incorporating the end-user metadata model.

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