TECHNOLOGY
control the usage and prevent it from being used for purposes that you might not want .”
“ You need to focus on privacy and security , you need a plan to future proof your manufacturing , supply systems and data ecosystems against cybercrime ,” adds Betti , “ I think that ’ s probably one of the concerns that people still have in mind .”
DATA AND DATA ANALYTICS : ITS FUTURE IN MANUFACTURING Contemplating the future for the use of data and data analytics Betti starts by says “ something that is interesting is that if you look at the future , and you look at the trends for climate change , geopolitical tensions etc they are intensifying , which means that crisis in the future , and likely going to happen more often . So , leveraging data and analytics to future proof operations is a must have for every company in this war .”
Circling back to the pandemic and the effects it is having on industries and economies , Betti adds that “ at a time in which we do not know how long this economic crisis that has come with the pandemic is going to last , I think that it is often easier to make the most out of the investments you have already done , rather than going for new capital investments or new equipment . But we are seeing in a postcrisis scenario investments on data analytics application solutions is one of the main things that took off because they did not require a massive investment . It actually was all about making the most or making more , directing new value out of data that was already available within facilities and across the supply chain .”
Looking beyond the post crisis scenario , Betti believes “ there are still a lot of pain points that companies will need to address because new degrees of cross company collaboration of data sharing are going to be required . If we want to continue this evolution journey that started 10 years ago , that became a tipping point with COVID , companies can really go to the next level in the near future .”
Echoing Betti ’ s thoughts on the future , Fendri adds “ after the COVID-19 crisis , we see the need for more visibility in the supply chain , understanding who the supplier of your supplier is and how they ' re being impacted by crisis or disruptions . The other element that we saw is a higher need to free up liquidity for future investments and here data can really help with increasing operational efficiencies and realise operational improvements making them more productive .”
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