BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Big data and machine learning skills\, experience\, methods\, and 
 big data usage. Empirical evidence from manufacturing firms in Zimbabwe.
DTSTART;VALUE=DATE-TIME:20240703T111500Z
DTEND;VALUE=DATE-TIME:20240703T113500Z
DTSTAMP;VALUE=DATE-TIME:20260310T193308Z
UID:indico-contribution-2033@events.chpc.ac.za
DESCRIPTION:Speakers: Sostina Varaidzo Chibaya (Liaoning Technical Univers
 ity\, China)\, More Chinakidzwa (Higher Colleges of Technology\, UAE.)\nTh
 e use of big data and machine learning in decision making processes in man
 ufacturing industries is gaining momentum as manufacturers seek to enhance
  production performance and competitiveness. Big data technologies have tr
 ansformed manufacturing decision-making\, resulting in data-driven approac
 hes. To compete in today's dynamic market\, manufacturing organizations mu
 st adapt and evolve\, which necessitates the effective use of data for for
 ecasting future events and making decisions. Advanced analytics applied to
  large datasets allows firms to acquire deeper insights\, spot patterns\, 
 forecast future trends\, and optimize processes. Limitations of convention
 al data processing methods create new opportunities for development and in
 novation. However\, in developing countries such as Zimbabwe the benefits 
 of the use of big data are not fully realized in manufacturing industries.
   Three essential requirements are needed to effectively use big data. The
 se are big data skills\, experience using big data\, and effective data pr
 ocessing methods. The study focused on assessing how the three factors inf
 luence the utilization of big data in the manufacturing industry. Understa
 nding data skills\, experience and processing methods is essential in buil
 ding big data management skills and improving adoption in manufacturing fi
 rms.  A preliminary survey was conducted on 36 manufacturing companies in 
 Zimbabwe. The data was analyzed using SPSS version 27. The results showed 
 that only 16.7% of the companies were effectively using big data. The effe
 ctiveness of data processing methods\, big data skills\, and experience us
 ing big data\, significantly affect the utilization of big data in manufac
 turing (p\n\nhttps://events.chpc.ac.za/event/134/contributions/2033/
LOCATION:CSIR ICC ICC-G-Ruby - Ruby Auditorium
URL:https://events.chpc.ac.za/event/134/contributions/2033/
END:VEVENT
END:VCALENDAR