These are the sources and citations used to research biz intelligence. This bibliography was generated on Cite This For Me on

  • Journal

    IBM Predicts Demand For Data Scientists Will Soar 28% By 2020

    2017 - Forbes

    In-text: (IBM Predicts Demand For Data Scientists Will Soar 28% By 2020, 2017)

    Your Bibliography: IBM Predicts Demand For Data Scientists Will Soar 28% By 2020. (2017). Forbes.

  • Website

    Ransbotham, S., Kiron, D. and Prentice, P. K.

    The Talent Dividend

    2015 - MIT

    In-text: (Ransbotham, Kiron and Prentice, 2015)

    Your Bibliography: Ransbotham, S., Kiron, D. and Prentice, P. (2015). The Talent Dividend. [online] Sloan Management Review. Available at: https://sloanreview.mit.edu/projects/analytics-talent-dividend/#ref4 [Accessed 5 Mar. 2018].

  • Website

    Pompa, C. and Burke, T.

    Data Science and Analytics Skills Shortage: Equipping the APEC Workforce with the Competencies Demanded by Employers

    2017 - APEC

    In-text: (Pompa and Burke, 2017)

    Your Bibliography: Pompa, C. and Burke, T. (2017). Data Science and Analytics Skills Shortage: Equipping the APEC Workforce with the Competencies Demanded by Employers. [online] Apec.org. Available at: https://www.apec.org/-/media/APEC/Publications/2017/11/Data-Science-and-Analytics-Skills-Shortage/217_HRD_Data-Science-and-Analytics-Skills-Shortage.pdf [Accessed 5 Mar. 2018].

  • Journal

    Manyika, J., Chui, M., Brown, B., Bughin, J. and Dobbs, R.

    Big data: The next frontier for innovation, competition, and productivity

    2011 - McKinsey Global Institute

    In-text: (Manyika et al., 2011)

    Your Bibliography: Manyika, J., Chui, M., Brown, B., Bughin, J. and Dobbs, R. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute.

  • Website

    Harvey, C.

    Top Big Data Challenges - Datamation

    2017

    In-text: (Harvey, 2017)

    Your Bibliography: Harvey, C. (2017). Top Big Data Challenges - Datamation. [online] Datamation.com. Available at: https://www.datamation.com/big-data/big-data-challenges.html [Accessed 6 Mar. 2018].

  • Journal

    Chen, H., Chiang, R. and Storey, V.

    BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT

    2012 - MIS Quarterly

    In-text: (Chen, Chiang and Storey, 2012)

    Your Bibliography: Chen, H., Chiang, R. and Storey, V. (2012). BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT. MIS Quarterly, 36(4), pp.1165-1188.

  • Website

    The State of Data Education in 2016

    2016

    In-text: (Tableau Software, 2016)

    Your Bibliography: Tableau Software. (2016). The State of Data Education in 2016. [online] Available at: https://www.tableau.com/data-education-2016 [Accessed 6 Mar. 2018].

  • Journal

    Vereckey, B.

    The Talent Within

    2013 - Bloomberg Businessweek

    In-text: (Vereckey, 2013)

    Your Bibliography: Vereckey, B. (2013). The Talent Within. Bloomberg Businessweek, (4328), pp.S1-S3.

  • Website

    Ringo, T.

    Workforce Analytics Isn’t as Scary as It Sounds

    2012 - HBR

    In-text: (Ringo, 2012)

    Your Bibliography: Ringo, T. (2012). Workforce Analytics Isn’t as Scary as It Sounds. [online] Harvard Business Review. Available at: https://hbr.org/2012/03/workforce-analytics-is-not-as [Accessed 6 Mar. 2018].

  • Website

    Trifari, E.

    We all want data talent — but are we closing the data skills gap?

    2016

    In-text: (Trifari, 2016)

    Your Bibliography: Trifari, E. (2016). We all want data talent — but are we closing the data skills gap?. [online] VentureBeat. Available at: https://venturebeat.com/2016/12/14/we-all-want-data-talent-but-are-we-closing-the-data-skills-gap/ [Accessed 6 Mar. 2018].

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