Smart Data

Recommendation engines appear on e-commerce websites. These software agents interact in real time, based on statistical analyses enriched by the transactional context, in order to make recommendations

2018

Scholarcy highlights

  • Recommendation engines appear on e-commerce websites. These software agents interact in real time, based on statistical analyses enriched by the transactional context, in order to make recommendations
  • – event alerts: it is very easy to be notified if an event takes place, or even to automate a certain number of actions related to an event
  • All these examples were made possible by linking reconciled transactional events to decision data, which are all orchestrated by rules/recommendation engines
  • The temporality of data processing has been aligned with that of the business processes for which the information is intended. This new mode of operation has required changes to the Information System through its urbanization to allow “real-time” processing of information. This IS urbanization model is known as event-oriented architecture, which aims to “urbanize” the data, moving toward systems that consume it in real time
  • – Alignment between indicators and business processes, and change in management: ensuring the implementation and monitoring of a BI master plan for the company, implementing a multiyear roadmap that is in line with the operational and strategic needs of a company, anticipating developments around BI and setting up a monitoring unit
  • On the other hand, extracting necessary data from this navigation to contextualize in real time will allow the process of recommendations, management of rules, etc

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