Data Analytics and BI Framework based on Collective Intelligence and the Industry 4.0

被引：3

作者：

Lopez, Cindy-Pamela ^{[1
]}

Segura, Marco ^{[1
]}

Santorum, Marco ^{[1
]}

机构：

[1] Escuela Politec Nacl, DICC, Quito, Ecuador

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND SYSTEMS (ICISS 2019) | 2019年

关键词：

Business Intelligence; Data Analytics; Collective Intelligence; Industry; 4.0; Big Data; DECISION-MAKING;

D O I：

10.1145/3322645.3322667

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Now a days, business is subject to frequent changes in operations because of the continuous alignment of changes in strategies and business environment due to rapid changes in human and business resources considering the complexity of businesses. Currently, Business Intelligence is way to handle these frequent changes and risks. In the past BI was so complex thing for business to adopt and only big businesses were able to implement this but now BI is becoming simpler and even web based on cloud, so it is easy even for small and medium business to adopt this to do business in a smart way. The purpose of this literature review is develop a framework of BI and Data Analytics using the collective intelligence, new technologies of the Industry 4.0 paradigm in order to provide a service with low cost and intelligence service for small and medium business which don't have budget to pay an expensive license and hiring an expert to can design the analysis to improve productivity and profitability.

引用

页码：93 / 98

页数：6

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