Challenges, Skills and Roles for Information Professionals in Managing Big Data

  • Authors

    • Nur Adlina Khamis
    • Saiful Farik Mat Yatin
    • Farah Nabilah Maidin
    • Rasmira Mat Rashid
    • Saidatul Akmar Ismail
    • Norshila Saifuddin
    • Yamin Kamis
    https://doi.org/10.14419/ijet.v7i3.7.18879
  • Big data, Skills, Organization, Information, Information Professionals

  • Big data is a now well used term designed to define the growing volume, variety, velocity, variability and value of information surging through organizations. The benefits that can be utilize from big data will only come about if the information is resourceful and been managed properly. As the amount and variety of data grows, so do the skills required to capture, manage, and analyze the data. The investigation for associations is making sense of how to get from existing data and application frameworks to flawlessly ingesting any key information sorts from all sources and quickly displaying bits of knowledge to chiefs. This article discusses about big data challenges faced by information professionals, the skills needs and roles for them in managing it.

     

     

  • References

    1. [1] Hajar Mousannif. (2016). Big data projects: just jump right in. 12 (2), 260-288, Retrieved from http://dx.doi.org/10.1108/IJPCC-04-2016-023

      [2] The Next Big Data Phase: Business knowledge expansion. (2013). Database trends an application. Retrieved from http://www.dbta.com/Editorial/Think-About-It/The-Next-Big-Data-Phase-Business-Knowledge-Expansion-88652.aspx?PageNum=2

      [3] Big Data & Investment Management: The potential to quantify traditionally qualitative factors. (2013). Citi Business Advisory Services. Retrieved from https://www.cmegroup.com/education/files/big-data-investment-management-the- potential-to-quantify-traditionally-qualitative-factors.pdf

      [4] Comuzzi, M. & Patel, A. (2016). How organisations leverage big data: a maturity model. Industrial Management & Data Systems, 116(8), 1468-1492. Retrievedfrom https://doi.org/10.1108/IMDS-12-2015-0495

      [5] Hilbert, M (2015). Big Data for Development: A Review of Promises and Challenges. Development Policy Review. Retrieved martinhilbert.net.

      [6] Verma, S & Bhattacharyya, Sekhar, S (2017). Perceived strategic value based adoption of big data analytics in emerging economy: a qualitative approach for Indian firms. Journal of Enterprise Information Management, 30(3), 1-37. doi: 10.1108/JEIM-10-2015-0099

      [7] Feicheng Ma, Ye Chen, Yiming Zhao. (2017). Research on the organization of user needs information in the big data environment. The Electronic Library, 35(1), 36-49. Retrieved from https://doi.org/10.1108/EL-07-2015-0130

      [8] Gandomi, A. and Haider, M. (2015). Beyond the hype: big data concepts, methods, and Analytics. International Journal of Information Management, 35(2), 137-144.

      [9] Hirschberg, J., Hjalmarsson, A., & Elhadad, N. (2010). “You’re as sick as you soundâ€: Using computational approaches for modeling speaker state to gauge illness and recovery. In A. Neustein (ed.), Advances in speech recognition (pp. 305–322). United States: Springer.

      [10] Madden, M. J. (2008). Today's UK professional association library and information service: challenges and best practice. 60(6), 556-569. Retrieved from http://dx.doi.org/10.1108/00012530810924267

      [11] Katz, R (2017) Skills approach: leadership model. Retrieved on 2017-06-11 at http://www.tlu.ee/~sirvir/Leadership/Leadership%20Models/skills_approach_robert_katz.html

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  • How to Cite

    Adlina Khamis, N., Farik Mat Yatin, S., Nabilah Maidin, F., Mat Rashid, R., Akmar Ismail, S., Saifuddin, N., & Kamis, Y. (2018). Challenges, Skills and Roles for Information Professionals in Managing Big Data. International Journal of Engineering & Technology, 7(3.7), 363-366. https://doi.org/10.14419/ijet.v7i3.7.18879