Reasonable e-Business expectancy Analytics in an IoE Edge

Abstract

Abstract:With the rapid growth of e-Business applications, several new analytics are researched for assessing the strategy that encompasses the current BI decisions, buying policies, consumer behaviour to e-business and vice versa. The consumer-end views can be composed from their registered IoE edge point devices that are exposed for assessing e-BI strategy. The consumerend views are considered as the potential data sources that need an effective cognitive analytics system to massively turn into the e-business goldmines. The Internet of Everything motivated consumer-end analytics has much brighter prospective in order to modernise the e-business intelligence applications. In this work, we discuss an intellectual consumer-end analytic system that implements an integrated choice based problem-solving mechanism to generate the insights for the predefined e-business parameters and dynamically suggests the solutions for the prospective BI requirements. For the system implementation, we in specta case base analysis that assesses the e-BI parameters copycatted with some real values. The analysis acts appositive elucidation in small scale e-business data depository to generate potential business worth and the small scale data repository may transform into a big data-value for the modernised e-BI applications. Keywords: IoE and Analytics, consumer-end analytics, BQ (business queries) knowledge base, IoE edge, e-BI I. INTRODUCTION In the current and upcoming days, the IoE tasks are gaining popularities across various Intellectual BI applications. The main aim is to get the insights from large scale network-centric data, such as IoE data that can be used to produce intelligence for the applications. In the current Intellectual domain applications, the network-centric data are highly unstructured and ambiguous, and create research challenges in inferencing the potential knowledge. The survey reveals that time to insight is slow, quality of insight is poor, and cost of insight is high for IoE big data applications, on the other hand, those Intellectual domain applications require low cost, high quality, and real time systems and algorithms to massively transform their data into cognitive values of goldmines. Such cognitive values are utilized as knowledge and insights for creating worth of the Intellectual domain applications [1][2][3][4]. The IoE (Internet of Everything) driven consumer-end analytics has much bright prospective in order to modernise the e-business intelligence applications. The global IoE evolutionary network capable to connect billions of IoE objects for the purpose of autonomous communication. In e-business intelligence applications, the IoE and analytics play major role towards generating the business insights that enable the e-business to construct a global trends and strategy for the e-consumers. The e-consumers are the real back bone of the e-BI operations. So, the consumer-end analytics are the powerful tools to analyse the current e-business trends and strategy and such analytics deeply consider th...