Using historical data to explore transactional data quality of an African power generation company
South African Journal of Information Management
| Field | Value | |
| Title | Using historical data to explore transactional data quality of an African power generation company | |
| Creator | Rambe, Patient Bester, Johan | |
| Description | Background: In developing countries, despite large public companies’ reliance on master data for decision-making, there is scant evidence to demonstrate their effective use of transactional data in decision-making because of its volatility and complexity. For the state-owned enterprise (SOE) studied, the complexity of generating high-quality transactional data manifests in relationships between customer call transactional data related to an electricity supply problem (captured by call centre agents, i.e. data creators) and technician-generated feedback (i.e. data consumers).Objectives: To establish the quality of customer calls transactional data captured using source system measurements. To compare this data set with field technicians’ downstream system transactions that indicated incorrect transactional data.Method: The study compared historical customer calls transactional data (i.e. source system data) with field technician-generated feedback captured on work orders (i.e. receiving system) in a power generation SOE, to ascertain transactional data quality generated and whether field technicians responded to authentic customer calls exclusively to mitigate operational expenses.Results: Mean values of customer call transactional data quality from the source system and technician-generated feedback on work orders varied by 1.26%, indicating that data quality measurements at the source system closely resembled data quality experiences of data consumers. The SOE’s transactional data quality from the source system was 80.05% and that of historical data set from evaluating feedback was 81.31% – percentages that exceeded average data quality measurements in literature.Conclusion: Using a feedback control system (FCS) to integrate feedback generated by data consumers to data creators presents an opportunity to increase data quality to higher levels than its current norm. | |
| Publisher | AOSIS | |
| Date | 2020-05-19 | |
| Identifier | 10.4102/sajim.v22i1.1130 | |
| Source | SA Journal of Information Management; Vol 22, No 1 (2020); 12 pages 1560-683X 2078-1865 | |
| Language | eng | |
| Relation |
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
https://sajim.co.za/index.php/sajim/article/view/1130/1627
https://sajim.co.za/index.php/sajim/article/view/1130/1625
https://sajim.co.za/index.php/sajim/article/view/1130/1626
https://sajim.co.za/index.php/sajim/article/view/1130/1624
|
|
ADVERTISEMENT
