Industrial revolution 4.0 - big data and big data analytics for smart manufacturing

2020 ◽  
pp. 35-59
Author(s):  
Yu Seng Cheng ◽  
Joon Huang Chuah ◽  
Yizhou Wang
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Industrial Revolution ◽  
Big Data Analytics ◽  
Smart Manufacturing

scholarly journals Using Big Data Analytics for Decision Making: Analyzing Customer Behavior using Association Rule Mining in a Gold, Silver, and Precious Metal Trading Company in Indonesia

2020 ◽  
Vol 1 (2) ◽  
pp. 57-71
Author(s):  
Wecka Imam Yudhistyra ◽  
Evri Marta Risal ◽  
I-soon Raungratanaamporn ◽  
Vatanavongs Ratanavaraha
Keyword(s):  
Big Data ◽  
Precious Metal ◽  
Data Analytics ◽  
Industrial Revolution ◽  
Big Data Analytics ◽  
Trading Company ◽  
Business Goals ◽  
Gold Silver ◽  
Key Steps ◽  
A Company

Indonesia is facing many challenges in the fourth industrial revolution (4IR) era. One of them is related to big data technologies and implementation that can be seen clearly from Indonesia Industry Readiness Index (INI) 4.0. Therefore, focusing on implementing big data analytics in a gold, silver, and precious metal trading company is the objective of this manuscript to support daily business operations. To be more specific, the aim is to discover meaningful patterns and ensure high quality of knowledge discovery from the big data available in a company in Indonesia. It is needed to support the Making Indonesia 4.0 as a roadmap to implement industrial digitalization in Indonesia. The methodology used for the big data implementation in this manuscript is the combination of the CRISP-DM framework and key steps for customer analytics. The result of this research is a list of recommendations that facilitate strategic planning based on evidence of measurable big data analytics to achieve the business goals of a company.

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