Desktop version

Home arrow Business & Finance

  • Increase font
  • Decrease font


<<   CONTENTS
Table of Contents:

Discussion

Big data continues to grow in popularity and adoption. While this study answers questions about the recruitment practice of big data resources, there are a number of areas that this study did not address, which includes sources of big data training. There are new university programs being introduced and training over big data topics being offered by technology vendors. Are they hitting the mark? Are they producing qualified big data specialists capable of stepping into data science roles and being effective? That is an area worthy of additional study to help improve the quality of education. Technology will continue to change, and new technologies will come into play. Technologies mentioned in this study may continue for years to come or they may be replaced by new ones. Additional research on effective tools used in the big data analytics space will provide insight into areas of focus for the next generation of big data specialists.

References

Bakhshi, H., Mateos-Garcia, J., & Whitby, A. 2014. Model workers: How leading companies are recruiting and managing their data talent, http://www.nesta.org.uk/sites/default/files/ model_workers_web_2.pdf.

Boddy, C. R. 2016. Sample size for qualitative research. Qualitative Market Research: An International Journal, /9(4), 426-432. http://dx.doi.Org/10.l 108/QMR-06-2016-0053.

Braun, V., & Clarke, V. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. http://dx.doi.org/10.1191/1478088706qp063oa.

Chen, H., Chiang, R. H., & Storey, V. C. 2012. Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165-1188.

Columbus, L. 2014. 84% Of Enterprises See Big Data Analytics Changing Their Industries’ Competitive Landscapes in the Next Year, Forbes.

Debortoli, S., Muller, O., & Vom Brocke, J. 2014. Comparing business intelligence and big data skills. Business & Information Systems Engineering, 6(5), 289-300. http://dx.doi. org/10.1080/12460125.2016.1171610

DiCicco-Bloom, B., & Crabtree, B. F. 2006. The qualitative research interview. Medical Education, 40(4). 314-321. https://doi.Org/10.llll/j.1365-2929.2006.02418.x

Dwoskin, E. 2014. Big-data scientists are in big demand. Wall Street Journal. http://search. proquest.com/docview/1552324544?accountid=458

Graneheim, U. H., & Lundman, B. 2004. Qualitative content analysis in nursing research: Concepts, procedures and measures to achieve trustworthiness. Nurse Education Today, 24(2), 105-112. http://dx.doi.Org/10.1016/j.nedt.2003.10.001

Gupta, M., & George, J. F. 2016. Toward the development of a big data analytics capability. Information & Management, 53(8). 1049-1064. http://dx.doi.Org/10.1016/j.im.2016.

07.004

Harris, J. G., Shetterley, N., Alter, A. E., & Schnell, K. 2014. The team solution to the data scientist shortage. https://acnprod.accenture.com/us-en/_acnmedia/Accenture/ Conversion-Assets/DotCom/Documents/Global/PDF/Dualpub_22/Accenture-Team- Solution-Data-Scientist-Shortage#zoom=50

Henke, N„ Bughin, J., & Chui, M. 2016. Most industries are nowhere close to realizing the potential of analytics, https://hbr.org/2016/12/most-industries-are-nowhere-close-to- realizing-the-potential-of-analytics

Herz, A., Peters, L., & Truschkat, I. 2014. How to do qualitative structural analysis: The qualitative interpretation of network maps and narrative interviews. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, /6(1). http://www.qualitative- research.net/index.php/fqs/article/view/2092/3904.

IT Pro Team. 2018. Data scientist jobs: Where does the big data talent gap lie? https://www. itpro.co.uk/careers/28929/data-scientist-jobs-where-does-the-big-data-talent-gap-lie.

Kim, J. 2016. Who is teaching data: Meeting the demand for data professionals. Journal of Education for Library and Information Science, 57(2), 161-173. http://dx.doi. org/10.12783/issn.2328-2967/57/2/8.

Linkedln. 2018. Linkedln Workforce Report, United States. https://economicgraph.linkedin. com/resources/linkedin-workforce-report-august-2018.

Manyika, J.. Chui. M.. Brown, B., Bughin. J.. Dobbs, R.. Roxburgh. C., & Byers, A. H. 2011. Big data: The next frontier for innovation, competition, and productivity. Retrieved September 16, 2015, from http://www.mckinsey.com/insights/business_technology/ big_data_the_next_frontier_for_innovation.

Redman. T. C. 2013. What separates a good data scientist from a great one. https://hbr. org/2013/01/the-great-data-scientist-in-fo.

Rivett, C. 2017. PwC report forecasts 2.7m new data science and analytic jobs will be created by 2020. https://www.gigabitmagazine.com/big-data/pwc-report-forecasts-27m-new- data-science-and-analytic-jobs-will-be-created-2020.

SAP and the German football association turn big data into smart decisions to improve player performance at the world cup in Brazil. 2014. http://www.news-sap.com/sap-dfb-turn -big-data-smart-data-world-cup-brazil/.

SAS. 2015. Predictive analytics: What it is and why it matters, http://www.sas.com/en_us/ insights/analytics/predictive-analytics.html

Thomas, E., & Magilvy, J. K. 2011. Qualitative predicting data saturation in qualitative surveys with mathematical models from ecological research.Rigor or Research Validity in Qualitative Research. Journal For Specialists In Pediatric Nursing, /6(2), 151-155. http://dx.doi.Org/10.llll/j.1744-6155.2011.00283.x.

Vaismoradi, M., Turunen, H., & Bondas, T. (2013). Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nursing & Health Sciences, /5(3), 398-405. http://dx.doi.org/10.llll/nhs.12048.

Yin, R. K. (2008). Case Study Research: Design and Methods (4th ed.). Thousand Oaks, CA: SAGE Publications, Inc.

 
<<   CONTENTS

Related topics