Page 14 - Logistics News July 2019
P. 14

Opinion






               The INs and OUTs of IT






                                                                           By Doug Hunter, doug.hunter@za.syspro.com

                 A large LSP divisional closure made producers/distributors sit up recently and take real
                interest in their business IT (outsourced sales order entry and EDI to the major retailers).
                                                   Time to check your IT!


            WE TAKE information technology for granted and       So WHAT?
            simply expect it to always be there, be intuitive to   The ‘what’ is how much attention we take of our
            use and to simplify our lives. It enables our personal,   ins and outs. We all know about data cleansing
            logistics and business processes and actions to help   and master data management – yes, you do –
            us lead organised and eff ective lives. But, the ins   rubbish in, rubbish out.
            and outs are completely interconnected. You cannot      The future has come to enterprise resource
            have one without the other, and successful outcome   planning (ERP) users and we need to be
            relies on what’s put in.                             more aware of the power that business IT
               IT constantly grows to enable more, and that can   off ers today. Allowing rubbish in is a crime as
            be a problem or a missed opportunity if you don’t    data-in forms the basis of future processing,
            see it. So, what should you be aware of?             thinking and action; not just the stats for past
                                                                 performance or mistakes.
            The INs
            The fi rst purpose of IT relates to data. IT stores,   Looking at the new OUTs
            processes and regurgitates data more eff ectively    We don’t just get alerts as our plans go out of
            and faster than humans do. Then it must present      sync; we get visibility of what the root problem
            that data in a way that creates information in an    is and predictions on how to handle it. We
            easily digestible way.                               get real business intelligence, not just reports,
               Data can be static, such as the number of         presented clearly and graphically – and on
            kilograms in a ton, or changing, such as stock-on-   laptops or phones in an Uber.
            hand of a product you make, sell or distribute.         We see trends in topics, like customers or
               Next, IT handles transactional data – a record of   products we ‘liked, because they are our key
            what someone or some machine did, such as buy        customers or products that make our margin or
            a donut, sell a car, deposit money... updating many   grow our market.
            areas to record this transaction for future use
               IT helps transform seemingly unconnected facts    And on the IN side
            and records into insights or ‘paintings’ that tell a   Information comes from searches on articles
            thousand words. Plus, it can recall this information   and info on the internet. It comes via IoT
            on demand without any problem, unlike humans.        from RFID tags and factory equipment to ID
                                                                 performance, GPS trackers for global position
            The OUTs                                             and movement, pedometers on our sheep to
            It’s information, of course. Linking data in the     check they exercised optimally – not just from
            progression of effi  cient supply chain processes,   plugged-in users.
            rather than people creating scribbled notes, arrows     Input from customers can be interpreted and
            and diagrams on a piece of scrap paper, which        routed by bots that get better with practice –
            only means something to the original creator. IT     we call it Machine Learning. And even more,
            must enable collection, processing, sharing and      we can use social media for our own info,
            presentation of this processed data to others.       letting customers, suppliers and employees add
               The results can be reports showing the activities   comments and likes to bring sentiment into the
            we executed, plus cost analyses, inventory balances   analysis.
            and deliveries made. We get dashboards facilitating     There are new habits humans must learn
            easy understanding of problems, trends and           or sharpen to get the best from today’s
            insights. IT makes sense of all our ‘stuff ’... but you   business life and reaction to supply chain
            knew that anyway...                                  glitches. •


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