Personal Journal for Information Systems - MyAssignmenthelp.com

Question: Discuss about thePersonal Reflective Journalfor Information Systems. Answer: My opinion about learning experience is that it provides one with information about a specific area that adds knowledge and value which plays a significant role in the real life scenario. The experience of learning involves fundamentals of business research which is essential in understanding a broad field such as Big Data and how it influences businesses across the globe (Abbasi, Sarker Chiang 2016). For instance, throughout the learning experience, I have come to understand that Big Data refers to increase in information that does not measure to the conventional way. One characteristic of Big Data that I came to learn is that it offers valuable information that is relevant to improve one's productivity in a particular field. Besides, Big Data plays an important role in improving customer relations through critically analyzing customers preference and behavior through various forms such as browsers and social media platforms. This information is important for an organization because it helps to improve marketing by reducing costs and maximizing on revenues as a result of targeted marketing (Olsson, Bull-Berg 2015). In addition, this learning experience has enabled me to understand how Big Data helps to improve research and science because relevant and important information can be accessed with ease from the click of a button. Among other value that can be derived from the learning experience is that big data facilitates optimization and understanding of business principles, improves public health and improves law enforcement and security (Mello, Leite Martins 2014). This learning experience is going to be useful for my course because a master's student in business is expected to be qualified in various aspects of the business processes such as market research and consumer behavior which is important in decision-making processes in a business setting. Consequently, it is useful in business research since it equips me with relevant skills needed to conduct market research of a particular product with an efficiency which provides a competitive advantage amongst other competitors in the industry. Besides, business research is important in developing market insights and trends which are important in forecasting future trends in a particular market so as to be able to modify the business processes for sustainability. This learning experience is equally significant in my future career as it plays an important role for me to get accredited and graduate with a masters degree that will improve my chances of securing an employment opportunity. In addition, the learning experience helps me to add value to understanding how other fields are related to business research which broadens my understanding of the world. The knowledge gained will help me to solve various problems that face most organizations thereby improving productivity and growth in the business world (Tang, Wu 2015). Through my learning process, I learned that Big Data is made up of unstructured; semi-structured and structured data involving various forms such as tweets, blog post, call logs and online transactions. The rapid increase in data is attributed to the growing association between people and systems. This relationship has been enhanced through the advancement in computation, storage, digital sensors and communication. In the last five years, there has been exponential growth in data on the internet as a result of human and systems interacting concurrently to facilitate easy access to information (Gani, Siddiqa, Shamshirband Hanum 2016). Among other benefits of Big Data include improvement in customer relations, healthcare systems and financial trading. Big Data has improved efficiency with which people can analyze systems through high speed and capturing which plays an important job in minimizing the time and increasing the overall output. Therefore, Big Data is not only significant in information technology sector but covers various fields such as engineering, finance, research, sociology and philosophy among other fields. Studies about Big Data has also played an important role education where it has significantly improved learning processes where students can use various applications and softwares to learn and carry out assignments. Besides, Big Data has helped people to equip themselves with necessary skills and knowledge that would have been impossible to acquire sometimes back which is important in providing job opportunities for many freelancers across the globe (Kallinikos D Constantiou Ioanna 2015). Utility firms across the globe have integrated the usage of data recorded from data sensors in real time which help to conduct analysis in various firms. Television providers have since improved their advertisements through targeted ads that are based on demographics and consumer behavior. Also, the entertainment companies have adapted to systems that help them to analyze data from their consumers such as park attendance, concerts attendance, online purchase as well as television viewership (Consta ntiou Kallinikos 2015). Various security firms and financial services now have the ability to detect crimes by integrating various systems comprising multiple data sets. This plays a significant role in developing algorithms that can easily detect fraud such as algorithms used by Google to penalize users who use methods that are unacceptable to rank their content on search engines to increase their visibility. I have also learned that Big Data provides the proliferation of smart phones and other GPS systems that offer advertisers a platform to target customers with proximity to stores around the area. Consumer information from web log files and social media is significant for enabling effective micro-customer segmentation and targeted marketing advertisement that essentially improves efficiency in the supply chain management (Akter Wamba, 2016). Through the learning experience i learned that as much as there are benefits attributed to Big Data, there are also challenges as a result of Big Data which includ e understanding and utilizing of data. Most firms often encounter difficulty in understanding data hence hindering the effectiveness of the use of data which is readily available (Mikhailidi 2014). The data should also be analyzed on a consistent basis because of the landscape of data changes frequently which require data analyst to research on more data that is available at a given time. Other than understanding organizations often encounter new and complex data emerging on a frequent basis which requires the organizations to take time and learn about these new technologies before they are integrated with their traditional systems. As a result, organizations are faced with challenges associated with the cost of adopting new systems and the perceived value the new technology is bound to bring to the business. Another challenge related to Big Data arises because of cloud-based solutions where data belonging to various companies are managed and stored in data centers across the globe. As a result, safe keeping and managing confidential company data becomes a challenge where criminals target data centers to steal information which might compromise a companys reputation. In the rec ent past, there have been lawsuits targeting healthcare industry where patient records have been compromised or misplaced. Archiving and disposal of Big Data require advanced technologies for purposes of maintaining the effectiveness of using Big Data for current business demands. Big Data also creates the need for information technology experts and data analyst which forces firms to retain existing people or invest in training and hiring others to ensure their activities remain productivity. To develop Big Data strategy fundamentals such as business systems, social data, unstructured data and processing of data should be addressed (Biswas Sen 2016). After which the assessment should be carried out based on sources and uses, volumes and metrics, estimated growth, privacy and regulatory frameworks as well as impact and potential value to be gained by an organization. Big data strategy then needs to focus on organizations impact, the opportunity available, methods of implementation and tools, compliance with regulations and return on investment. This learning process helps in my future goals of becoming a n expert in the field to provide consultancy for various organizations that might need an implementation of new technologies to improve their growth. Reference List Abbasi, A., Sarker, S. Chiang, R.H.L. 2016, "Big Data Research in Information Systems: Toward an Inclusive Research Agenda", Journal of the Association for Information Systems, vol. 17, no. 2, pp. 32-I. Akter, S. Wamba, S.F. 2016, "Big Data Analytics in E-commerce: A Systematic Review and Agenda for Future Research", Electronic Markets, vol. 26, no. 2, pp. 173-194. Biswas, S. Sen, J. 2016, "A Proposed Architecture for Big Data Driven Supply Chain Analytics", IUP Journal of Supply Chain Management, vol. 13, no. 3, pp. 7-33. Constantiou, I.D. Kallinikos, J. 2015, "New Games, New Rules: Big Data and the Changing Context of Strategy", Journal of Information Technology, vol. 30, no. 1, pp. 44-57. Gani, A., Siddiqa, A., Shamshirband, S. Hanum, F. 2016, "A Survey on Indexing Techniques for Big Data: Taxonomy and Performance Evaluation", Knowledge and Information Systems, vol. 46, no. 2, pp. 241-284. Kallinikos, J. D Constantiou, Ioanna 2015, "Big Data Revisited: a Rejoinder", Journal of Information Technology, vol. 30, no. 1, pp. 70-74. Mello, R., Leite, L.R. Martins, R.A. 2014, "Is Big Data the Next Big Thing in Performance Measurement Systems?", IIE Annual Conference. Proceedings, , pp. 1837-1846. Mikhailidi, I.A. 2014, "Using GIS for Assessing Tourism Potential of the Altai Mountainous Area", Himalayan and Central Asian Studies, vol. 18, no. 3, pp. 259-266. Olsson, N.O.E. Bull-Berg, H. 2015, "Use of Big Data in Project Evaluations", International Journal of Managing Projects in Business, vol. 8, no. 3, pp. 491-512. Tang, M. Wu, Z. 2015, "Research On The Mechanisms Of Big Data On Consumer Behavior Using The Models Of C2C E-Commerce And Countermeasures", African Journal of Business Management, vol. 9, no. 1, pp. 18-34.