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BigData & SupplyChain: a S.W.O.T. analysis


Strengths , Weaknesses, Opportunities and Threats (S.W.O.T.)

  • Strengths:

Implementing analytic tools with the technology available nowadays (RFID, GPS,…), that is getting cheaper and cheaper, will enable gathering insights and information about logistic and operations on a real-time basis. This means reacting faster and faster to issues.

  • Weaknesses:

Analytic skills should be developed in order to break the barrier between such amount of data and the meaningful information for a certain business. Inaccessible data are both useless and a missed information.

  • Opportunities:

Scouting might be easier. Moreover, a demand driven supply chain (DDSC) approach might be expanded by sharing more and more data with key partners and by gathering insights from the market: from customers as well as customers of customers and thus anticipate trends and innovations rather than rely mainly on unreliable forecasts.

  • Threats:

Be disrupted by other innovations. This is what might happen whenever a new business model, closer to customer needs (or that creates new needs), is created thanks to IT innovations. New business model = New network of suppliers.

Ignoring the opportunities behind IT innovations means ignoring the risk of being disrupted. On the other side, an excess of enthusiasm towards BigData is as well a risk to fall in one of the 5 bigdata S.L.I.P.S. if no analytical and business acumen are developed.

BigData-SupplyChain_SWOT

 

 

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