An evaluation of management information systems in the Department of Social Development, province of the Eastern Cape
- Authors: Ngqungqu, Siphokazi
- Date: 2014
- Subjects: Information resources management -- South Africa -- Eastern Cape , Information storage and retrieval systems -- Management
- Language: English
- Type: Thesis , Masters , MPA
- Identifier: vital:8351 , http://hdl.handle.net/10948/d1020889
- Description: The alignment of information systems with organisational objectives and strategies is crucial to the efficient performance of any organisation. There is a growing focus on the effectiveness of management and evidence-based decision making in public institutions in South Africa. The Eastern Cape Department of Social Development and Special Programmes (ECDSD) implemented a Social Development Information Management System (SDIMS), which is an information system that supports various functions performed by the Department. While SDMIS provides large amounts of valuable information, it still has much ground to cover in terms of fully meeting the Department’s information needs. There is an increasing demand for information to inform decision making with regards to priority setting, resource usage, monitoring the impact of the Department’s intervention programmes, and monitoring the progress of the Department’s strategic goals. The main purpose of this study was to analyse the extent to which MIS is utilised in the Eastern Cape Department of Social Development and Special Programmes and to make recommendations for the alignment of MIS with organisational objectives in order to achieve these objectives. Furthermore, the study intends to investigate the extent to which the information needs of managers are considered in designing and providing information. The objectives of the study are, firstly, to analyse the current state of MIS utilisation in the Department. Secondly, to evaluate the utilisation of information provided by the MIS unit for decision making, and, thirdly, to make recommendations on how to improve MIS utilisation. Qualitative approach techniques were utilised to collect data for the study. Research questionnaires were distributed to thirty respondents. Semi-structured interviews were conducted with seven interviewees out of a target number of ten. The response rate was 68 percent and this was considered as adequate for scientific analysis and reporting. The study produced the following research findings: Mainly, the MIS users believe that they understand MIS and its capabilities, and have received training on how to use the system. The quality of information provided by MIS is mostly complete and largely meets user requirements and expectations. MIS information is for the most part accurate and comprehensive enough to expedite decision-making. Although MIS largely meets user requirements and expectations in terms of completeness, accuracy and reliability, the study indicates that it still falls short in integrating information from other sources, which include government transversal systems such as the Basic Accounting System (BAS) and the Personnel Salary System (PERSAL). MIS information is mostly available and easy to access, but occasionally not timely. This is mostly caused by the unavailability of real-time information synchronisation between MIS and other government systems. In light of the above findings, the researcher recommends that: There is still more to be done in order to continuously inform and train users on the latest MIS capability developments in the form of awareness workshops, contact and remote support, and through internal news bulletins. The Department needs to work with other government entities that are custodians of transversal systems in finding a solution to the creation of real-time integration of MIS with other external sources of information. Even though the level of MIS utilisation is not too much of a concern, the Department needs to ensure that users of information are kept up to date with new MIS reporting capabilities so as not to underutilise the system. It is therefore recommended that the Department ensure that information is more often reviewed and reports are customised to meet the ever-changing needs of the Department.
- Full Text:
- Date Issued: 2014
- Authors: Ngqungqu, Siphokazi
- Date: 2014
- Subjects: Information resources management -- South Africa -- Eastern Cape , Information storage and retrieval systems -- Management
- Language: English
- Type: Thesis , Masters , MPA
- Identifier: vital:8351 , http://hdl.handle.net/10948/d1020889
- Description: The alignment of information systems with organisational objectives and strategies is crucial to the efficient performance of any organisation. There is a growing focus on the effectiveness of management and evidence-based decision making in public institutions in South Africa. The Eastern Cape Department of Social Development and Special Programmes (ECDSD) implemented a Social Development Information Management System (SDIMS), which is an information system that supports various functions performed by the Department. While SDMIS provides large amounts of valuable information, it still has much ground to cover in terms of fully meeting the Department’s information needs. There is an increasing demand for information to inform decision making with regards to priority setting, resource usage, monitoring the impact of the Department’s intervention programmes, and monitoring the progress of the Department’s strategic goals. The main purpose of this study was to analyse the extent to which MIS is utilised in the Eastern Cape Department of Social Development and Special Programmes and to make recommendations for the alignment of MIS with organisational objectives in order to achieve these objectives. Furthermore, the study intends to investigate the extent to which the information needs of managers are considered in designing and providing information. The objectives of the study are, firstly, to analyse the current state of MIS utilisation in the Department. Secondly, to evaluate the utilisation of information provided by the MIS unit for decision making, and, thirdly, to make recommendations on how to improve MIS utilisation. Qualitative approach techniques were utilised to collect data for the study. Research questionnaires were distributed to thirty respondents. Semi-structured interviews were conducted with seven interviewees out of a target number of ten. The response rate was 68 percent and this was considered as adequate for scientific analysis and reporting. The study produced the following research findings: Mainly, the MIS users believe that they understand MIS and its capabilities, and have received training on how to use the system. The quality of information provided by MIS is mostly complete and largely meets user requirements and expectations. MIS information is for the most part accurate and comprehensive enough to expedite decision-making. Although MIS largely meets user requirements and expectations in terms of completeness, accuracy and reliability, the study indicates that it still falls short in integrating information from other sources, which include government transversal systems such as the Basic Accounting System (BAS) and the Personnel Salary System (PERSAL). MIS information is mostly available and easy to access, but occasionally not timely. This is mostly caused by the unavailability of real-time information synchronisation between MIS and other government systems. In light of the above findings, the researcher recommends that: There is still more to be done in order to continuously inform and train users on the latest MIS capability developments in the form of awareness workshops, contact and remote support, and through internal news bulletins. The Department needs to work with other government entities that are custodians of transversal systems in finding a solution to the creation of real-time integration of MIS with other external sources of information. Even though the level of MIS utilisation is not too much of a concern, the Department needs to ensure that users of information are kept up to date with new MIS reporting capabilities so as not to underutilise the system. It is therefore recommended that the Department ensure that information is more often reviewed and reports are customised to meet the ever-changing needs of the Department.
- Full Text:
- Date Issued: 2014
A framework for managing timetable data quality within the NMMU
- Authors: Els, Dierdre Jean
- Date: 2008
- Subjects: Computer algorithms Timetables , Management information systems , Management -- Data processing , Information storage and retrieval systems -- Management , Information management
- Language: English
- Type: Thesis , Masters , MTech
- Identifier: vital:9769 , http://hdl.handle.net/10948/948 , Computer algorithms Timetables , Management information systems , Management -- Data processing , Information storage and retrieval systems -- Management , Information management
- Description: This dissertation investigates the influencing factors on timetable quality, not only from a data quality perspective, but also from an information quality perspective which takes into account the quality of the business processes involved in creating the timetable. The Nelson Mandela Metropolitan University was used as a case study for assessing the quality of the timetable process, the quality of the source data, and the quality of the final timetable produced. A framework for managing the data quality during the timetabling process is proposed. The framework is based on reviews done on data quality management best practices and data quality aspects. Chapter 1 introduces the current Nelson Mandela Metropolitan University timetable, and motivates why data quality management is essential to its success. The scope and research objectives are presented for this dissertation. Chapter 2 covers a literature study on business process and data quality management best practices. The common thread through all the management methodologies investigated, was top management involvement and commitment to continuously improving the quality of data. Chapter 3 discusses various characteristics of data quality. Quality is determined to be whether the end result meets the quality requirements for which it was intended. Hence each system could have quality aspects that are unique to it. Chapter 4 explains various research designs and which were followed for this dissertation. The combination of literature studies, a questionnaire and a case study were used. Chapter 5 is a case study of the data quality and timetabling processes used at the Nelson Mandela Metropolitan University and is based on the research design described in chapter 4. The current business processes followed in setting up the current timetable are presented, as well as the proposed timetabling process that should produce a better quality timetable for the Nelson Mandela Metropolitan 4 University. The data quality aspects most pertinent to the Nelson Mandela Metropolitan University are determined, being timeliness, accountability, integrity and consistency, as well as the most probable causes for bad timetable quality, like uniform technology, processes, ownership and using a common terminology. Chapter 6 presents a framework for managing timetable data quality at the Nelson Mandela Metropolitan University using an Information Product Map approach that will ensure a better quality timetable. Future research is also proposed. It is evident from this dissertation that data quality of source data as well as the quality of the business process involved is essential for producing a timetable that satisfies the requirements for which it was intended. The management framework proposed for the Nelson Mandela Metropolitan University timetabling process can potentially be used at other institutions as well.
- Full Text:
- Date Issued: 2008
- Authors: Els, Dierdre Jean
- Date: 2008
- Subjects: Computer algorithms Timetables , Management information systems , Management -- Data processing , Information storage and retrieval systems -- Management , Information management
- Language: English
- Type: Thesis , Masters , MTech
- Identifier: vital:9769 , http://hdl.handle.net/10948/948 , Computer algorithms Timetables , Management information systems , Management -- Data processing , Information storage and retrieval systems -- Management , Information management
- Description: This dissertation investigates the influencing factors on timetable quality, not only from a data quality perspective, but also from an information quality perspective which takes into account the quality of the business processes involved in creating the timetable. The Nelson Mandela Metropolitan University was used as a case study for assessing the quality of the timetable process, the quality of the source data, and the quality of the final timetable produced. A framework for managing the data quality during the timetabling process is proposed. The framework is based on reviews done on data quality management best practices and data quality aspects. Chapter 1 introduces the current Nelson Mandela Metropolitan University timetable, and motivates why data quality management is essential to its success. The scope and research objectives are presented for this dissertation. Chapter 2 covers a literature study on business process and data quality management best practices. The common thread through all the management methodologies investigated, was top management involvement and commitment to continuously improving the quality of data. Chapter 3 discusses various characteristics of data quality. Quality is determined to be whether the end result meets the quality requirements for which it was intended. Hence each system could have quality aspects that are unique to it. Chapter 4 explains various research designs and which were followed for this dissertation. The combination of literature studies, a questionnaire and a case study were used. Chapter 5 is a case study of the data quality and timetabling processes used at the Nelson Mandela Metropolitan University and is based on the research design described in chapter 4. The current business processes followed in setting up the current timetable are presented, as well as the proposed timetabling process that should produce a better quality timetable for the Nelson Mandela Metropolitan 4 University. The data quality aspects most pertinent to the Nelson Mandela Metropolitan University are determined, being timeliness, accountability, integrity and consistency, as well as the most probable causes for bad timetable quality, like uniform technology, processes, ownership and using a common terminology. Chapter 6 presents a framework for managing timetable data quality at the Nelson Mandela Metropolitan University using an Information Product Map approach that will ensure a better quality timetable. Future research is also proposed. It is evident from this dissertation that data quality of source data as well as the quality of the business process involved is essential for producing a timetable that satisfies the requirements for which it was intended. The management framework proposed for the Nelson Mandela Metropolitan University timetabling process can potentially be used at other institutions as well.
- Full Text:
- Date Issued: 2008
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