Corresponding Author: Mime Azrina Binti Jaafar, Department of Information Technology & Communication, Politeknik Tuanku Syed Sirajuddin, Pauh Putra, 02600 Arau, Perlis, Malaysia., +604-9886200 33 Journal of Social Science and Humanities, 1 (3): 33-39, 2018 e-ISSN: 2600 - 9056 © RMP Publications, 2018 DOI: 10.26666/rmp.jssh.2018.3.5 IR 4.0 Readiness: Big Data Sources, Issues and Challenges Mime Azrina Jaafar 1 , Husniza Husni 2 , Yuhanis Yusof 3 1 Department of Information Technology & Communication, Politeknik Tuanku Syed Sirajuddin, Pauh Putra, 02600 Arau, Perlis, Malaysia. 2,3 School of Computing, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia Abstract: Industry revolution 4.0 (IR 4.0) is focus on transforming all individual processes in computing. Data digitalization in IR 4.0 allows production to monitor performance, workflow, management of all machines and access company record remotely using diversity of electronic and smart devices like smart phones, tablets, laptops, TVs and smart watches. Yet, preparing IR 4.0 platform in an industry is very challenging and requires management to prepare all the nine IR 4.0 components including Big Data. Big Data has been leads from tremendous growth of data directed from the increasing number of communication devices every day. This data perceives meaningful information that can be utilized by the industry to improve their product quality, sales and services. Mostly, Big Data was aligned in unstructured format and entails expertise and powerful facilities to decode them. Hence, a questionnaire has been distributed to 29 respondents which represent IT educators at PTSS to measure their readiness toward IR 4.0 in the aspect of Big Data sources, issue and challenges. This study has proven that there were variety of data sources can be accessed for data analytic but private data might cause limitation in data gathering process as it required access rights from data owner. Therefore, encouraging data sharing between organizations and staffs would create new ideas and opportunities for future research on Big Data. Key words: IR 4.0, Big Data, Unstructured Data, Visualization INTRODUCTION IR 4.0 represents the forth industrial revolution that incorporates digital technology as a gist in transforming economies, jobs and society [1]. All sectors including manufacture, education, economy and even government try to comply with the IR 4.0 needs by introducing vary approaches such as digitizing their data using automated system, improving data management using virtual cloud storage, Internet of thing (Iot), robotic element in manufacturing to support massive production of quality products and smart classroom to generate better teaching and learning environment. Preparation of high speed network compulsory to help user monitor their house, company or family member status effectively using digital technology such as mobile phone, CCTV and smart gadgets. Besides, in the perspective of businesses, the revolution welcomes a lot of opportunities and generates outstanding profit for the organization. As for the government, strong support in digitalization has been provided by most of the countries like Denmark: Innovation Fund, South Korea: Technology & Innovation, Chine: Internet Plus & Made in China 2025, Thailand: 4.0 Start-ups, Singapore: Industry Transformation Programme, Italy: Italia 4.0 Plan and Malaysia: IR 4.0 [2]. The new technologies in IR 4.0 enable manufacturer to connect billions of people, things, machines, and systems for data communication, sharing information and control each other autonomously. This intelligent network would provide opportunities for the companies to promote efficient production and to provide flexibility in tailoring production to meet consumer demands and market requirements [3]. Four main characteristics of IR 4.0 have been suggested by Deloitte [4] that require alteration from the industry and traditional manufacturing including vertical networking of smart production systems, horizontal integration via new generation of global value chain networks, through- engineering across the entire chain and the impact of exponential technologies. Badaraite [3] also suggested nine important elements of IR 4.0 as being shown in figure 1 that entails intensive strategies by the industries which covered area in Autonomous Robots, Simulation, System Integration, Internet of Things (IoT), Cybersecurity, Cloud Computing, Additive Manufacturing, Augmented Reality and Big Data.