Analytics: a review of current trends, future application and challenges
Keywords:
analytics, current, future, futureaugmented analytics, artificial intelligenceAbstract
Analytics is a body of knowledge that uses scientific process of transforming data into valuable insights for decisionmaking. With a massive exponential growth of various data, analytics bring benefits to those who fully utilized its capability across multiple strategic and operational levels. However, there is very limited academic papers address on the trends, especially on its future direction. Moreover, lack of study on research challenges demand further investigation in the field. Therefore, a study on current trends, challenges and future application need to be implemented. Based on findings, we found that currently, the analytics is done manually, which required skilful human resources. Meanwhile, the future trend of analytics will be integrated with artificial intelligence capabilities to automate every process in automatic workflow, which called as Augmented Analytics. As a result, the significant of augmented analytics brings a numerous perspectives of analytics that avoid human bias in decision making. The impact of this study provides a new opportunity for other academics, researchers and industrial players to moving forward for a new analytics revolution.
References
K. Schwab, Nicholas D. Shaping the future of the fourth industrial revolution. United Kingdom: Portfolio Penguin, 2018.
Z. A. Abas, Z. Z. Abidin, A. F. N. A. Rahman, H. Rahmalan, G. Pramudya, and M. H. A. Hamid, “Internet of Things and Healthcare Analytics for Better Healthcare Solution : Applications and Challenges,” Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 9, pp. 446–450, 2018.
“How digital technology will transform the world: The digital transformation has arrived,” Fujitsu Journal, 2016. [Online]. Available: https://journal.jp.fujitsu.com/en/2016/01/12/01/. Accessed: July 30, 2019.
S. Chaudhary and N. Garg, “Internet of Things: A Revolution,” Compusoft, vol. 3, no. 4, pp. 714–716, 2014.
B. Rekha and D. V. Ashoka, “SRHM: Sustainable routing for heterogeneous Adhoc environment in iot-based mobile communication,” Compusoft, vol. 8, no. 1, pp. 3003–3010, 2019.
Y. Takeo, “How 5G will transform the way we live and work,” The Star, 01-Apr-2019. Accessed: July 29, 2019.
R.Ibraimov and M.Sultonova, “5G Transit connections,” Compusoft, vol. 8, pp. 3135–3139, 2019.
Y. Kolokolov and A. Monovskaya, “Observations-based Computational Analytics on Local Climate Dynamics. Part 3: Forecasting,” Int. J. Comput., vol. 16, no. 4, 2017.
Y. Kolokolov and A. Monovskaya, “Observations-Based Computational Analytics on Local Climate Dynamics: ChangePoints,” Int. J. Comput., vol. 16, no. 2, 2017.
N. Henke et al., “The age of analytics : Competing in a data-driven world,” 2016. [Online]. Available: https://www.mckinsey.com/business-functions/mckinseyanalytics/our-insights/the-age-of-analytics-competing-in-a-datadriven-world. Accessed: July 30, 2019.
T. H. Davenport and D. J. Patil, “Data Scientist: The Sexiest Job of the 21st Century,” Harvard Business Review, no. October 2012, pp.
–77, 2012.
A. Gupta, “10 Jobs of the Future,” Fortune India, 05-Oct-2015.
L. Burtch, “2019 Predictions for the Data Science & Analytics Hiring Market,” Burtch Works Executive Recruiting, 2019. [Online]. Available: https://www.burtchworks.com/2019/01/07/2019- predictions-for-the-data-science-analytics-hiring-market/. Accessed: August 2, 2019.
A. Flowers, “Data scientist is still a hot job and pays well too,” Inside Big Data, 02-Feb-2019. Accessed: Jun 15, 2019.
J. Davis, “Predictions: 2019 Data Science Jobs Market,” Information Week, 16-Jan-2019. Accessed: Jun 30, 2019.
Wi. Markow, S. Braganza, B. Taska, D. Hughes, and S. Miller, “The quant crunch: How the demand for data science skills is disrupting
the job market,” Burning glass technologies, Boston USA, 2017.
C. Links, “The next wave of job opportunities, brought to you by the IoT,” Qorvo, 2017. [Online]. Available: https://www.qorvo.com/design-hub/blog/the-next-wave-of-jobopportunities-brought-to-you-by-the-iot. Accessed: July 30, 2019.
A Peer research report on “Intel’s 2013 IT manager survey on how organizations are using big data,” Intel Corporation, USA, 2014.
S. Gopinath, “10 Reasons Why Big Data Analytics is the Best Career Move,” Edureka!, 2019. [Online]. Available: https:// ww.edureka.co/blog/10-reasons-why-big-data-analytics-isthe-best-career-move/. Accessed: July 30, 2019.
“Trusted analytics matter to CEOs,” 2017. Issue 7. Available: https://assets.kpmg/content/dam/kpmg/xx/pdf/2017/08/da-trustedanalytics-ceo-outlook.pdf. Accessed: 20 April 2019.
“Graduate Degree Programs in Analytics and Data Science,” Institute for Advanced Analytics, 2019. [Online]. Available: https://analytics.ncsu.edu/?page_id=4184. Accessed: Jun 13, 2019.
“8 Reasons to Take Data Analytics Certification Courses,” KDnuggets, 2018. [Online]. Available: https://www.kdnuggets.com/2018/11/8-reasons-take-data-analyticscertification-courses.html. Accessed: July 30, 2019.
F. Nicolas, “26 big data certifications that will pay off,” NCLS Data Solutions, 2018. [Online]. Available: http://www.nclsdatasolutions.com/2018/10/09/26-big-datacertifications-that-will-pay-off/. Accessed: May 17, 2019.
A. Handa and M. Kulkarni, “Augmented analytics,” FinTalk Bank of Baroda, 01-Nov-2018. Accessed: June 21, 2019.
R. Sallam, C. Howson, and Carlie Idoine, “Augmented analytics is the future of data and analytics,” 2017 Accessed: June 29, 2019.
“8 Analytics trends to watch in 2018 for the intelligent enterprise,” MicroStrategy, 2017. [Online]. Available: https://www.microstrategy.com/getmedia/27d4b4ed-1add-4803-ac9d-e7b3cf9a4237/8-Enterprise-Analytics-Trends-to-Watch-in-2018.pdf. Accessed: April 15, 2019.
D. Cearley and B. Burke, “Gartner Top 10 strategic technology trends for 2019,” 2018. [Online]. Available: https://www.gartner.com/en/doc/3891569-top-10-strategictechnology-trends-for-2019. Accessed: April 13, 2019.
“Top BI trends 2019: The dawn of postmodern analytics,” 2018. QlikQ [Online]. Available: https://www.climber.eu/wpcontent/ploads/sites/2/2019/01/Qlik-BI-Trends-2019-Ebook.pdf. Accessed: May 28, 2019.
C. Howson, J. Richardson, R. Sallam, and A. Kronz, “Magic quadrant for analytics and business intelligence platforms,” 2019. [Online]. Available: https://www.gartner.com/en/documents/3900992/magic-quadrantfor-analytics-and-business-intelligence-p. Accessed: June 15, 2019.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 COMPUSOFT: An International Journal of Advanced Computer Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
©2023. COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY by COMPUSOFT PUBLICATION is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY. Permissions beyond the scope of this license may be available at Creative Commons Attribution 4.0 International Public License.
