Exploring the challenges of data analytics in Supply Chain Management
Gyeyin, Dominic Pinto (2024)
Gyeyin, Dominic Pinto
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024081524170
https://urn.fi/URN:NBN:fi:amk-2024081524170
Tiivistelmä
The objectives of Novago Co Ghana Limited is to enable clients benefit from quality vehicle rental service. The company exist to provide tailored solutions that meet the individual needs of their clients. The company manages fleets of different sizes and provide rental services for a wide range of clients, from professionals/SMEs to some of the largest international corporates based in West Africa. The company expressed interest in this thesis to understand the challenges of data analytics in Supply Chain Management despite the location of the student embarking on this project.
The study targeted employees in data analysis, supply chain, procurement, logistics and management at Novago Co Ghana Limited, with a total population of thirty individuals. These professionals were highly educated with an average of seven years of experience in their fields. The study discovered data privacy and security, managing and integrating data from diverse sources, talent and skill gaps for implementing data analytics, ensuring data accuracy and reliability in supply chain in the organization as challenges.
The opportunities were, enhancing visibility and improvement of supply chain responsiveness to market changes, the role of data analytics in identifying and capitalizing on cost-saving opportunities and the potential of data analytics in optimizing fleet management. Finally, there was a positive relationship between the challenges and company performance.
It is recommended that management invest in advanced security solutions such as, firewalls, intrusion detection systems and robust techniques to safeguard sensitive supply chain data and ensure its integrity. The organization's management must continuously train employees on data security practices. Management can use data analytics to optimize fleet management, reduce fuel consumption, and improve route planning.
The study targeted employees in data analysis, supply chain, procurement, logistics and management at Novago Co Ghana Limited, with a total population of thirty individuals. These professionals were highly educated with an average of seven years of experience in their fields. The study discovered data privacy and security, managing and integrating data from diverse sources, talent and skill gaps for implementing data analytics, ensuring data accuracy and reliability in supply chain in the organization as challenges.
The opportunities were, enhancing visibility and improvement of supply chain responsiveness to market changes, the role of data analytics in identifying and capitalizing on cost-saving opportunities and the potential of data analytics in optimizing fleet management. Finally, there was a positive relationship between the challenges and company performance.
It is recommended that management invest in advanced security solutions such as, firewalls, intrusion detection systems and robust techniques to safeguard sensitive supply chain data and ensure its integrity. The organization's management must continuously train employees on data security practices. Management can use data analytics to optimize fleet management, reduce fuel consumption, and improve route planning.
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