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to  minimise  cost  and  streamline  processes.    Italy  participant  1
                     highlighted that applying BD, AI and analytics tools across the wine life

                     cycle is an expensive exercise.  This was complimented by stating that

                     they had a knowledge gap in BD, AI and analytics applications.  Failing
                     to identify the correct BD, AI and analytics tools across the themes

                     (within the wine life cycle) and streamline the respective processes,

                     hinders organisation growth.


                     The  knowledge  gap  highlights  the  need  for  further  research  and

                     awareness  of  the  potential  contributory  factors  derived  by  the

                     application of BD, AI and analytics within the wine life cycle stages.


                     Participant 2 from Italy: The supporting transcript for Italy participant

                     2  (shown  on  table  5)  stated  “in  the  future  Big  Data  could  be  an

                     opportunity”.  This indicated that the participant was aware of BD, AI

                     and analytics and the possible applications.  However, Italy participant
                     2  indicated  that  the  participants’  organisation  applied  tools

                     incorporating  both  AI,  BD  and  analytics:  applications  mainly  within

                     fertigation, viticulture, marketing and retail operations.  The participant

                     stated that they applied other general related applications and that the
                     organisation is sustainable and has a CSR policy.  Italy participant 2

                     highlighted that the applied BD, AI and analytics tools across their wine

                     organisation did not provide a favourable ROI.  Participant 2 should
                     identify the relevant BD, AI and analytics tools to apply at each wine

                     life cycle stage, ensuring that systems and processes are streamlined

                     to ensure positive ROI, aiding organisation growth.  This indicates that

                     participant  2  organisation  needs  further  education  in  this  field,
                     supported by further consultancy to enable them to identify the most

                     appropriate tools that contributes to the organisation growth.



                     Participant 1 from UK: The supporting transcript for UK participant 1
                     (shown on table 6) stated “we gather a lot of data from out weather

                     station I guess you could say that was big data”.  This indicates that

                     the  participant  is  aware  of  BD  and  its  applications.    However,  UK

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