Big data is a more and more universal concept used in different circumstances. This part will provide a brief introduction of big data.
According to Chaffey and Ellis-Chadwick (2016), the concept big data refers to using different analysing technologies and systems for digging large amount of data. In marketing, big data has three dimensions, data volume, data velocity and data variety.
Source: Chaffey, D. and Ellis-Chadwick, F., 2016. Digital marketing: strategy, implementation and practice (Vol. 6). Harlow: Pearson.
Data volume means the size of data, which may often reach Terabyte. Data velocity refers to how fast marketers can access to big data, like in real-time. Data variety refers to different types of data from different sources. All these three elements of big data can increase vision for more communications by using technologies like social customer media.
Source: https://www.brightedge.com/blog/tracking-integrated-marketing-a-big-data-challenge/
Big data is not only a new approach for data collection and analysis, but also a revolution for management. As McAfee et al (2012) states, applying big data can improve company if they can manage the change in following parts. Leadership, companies’ leaders need to set clear goal of success, and the leaders need to understand changing era to effectively handle different stakeholders. Talent management. The companies need to develop talents who are data scientists. Technology, companies need to handle new technologies for big data, and IT staff also may handle internal and external sources of data. Decision making, in the era of big data, company leaders and other people should not only understand problem-solving skills but also should exploit problem to solve. Company culture, companies will remove bad habits and make better decision.
Source: https://innovate-edu.com/2014/09/24/the-big-data-privacy-problem-for-open-college-courses/
Source: https://www.smartdatacollective.com/big-data-big-money-roi-business-intelligence/
There are also some challenges and problems of big data. Kata et al (2013) indicates some issues caused by big data. The first is privacy and security. Personal information will leak, which is negative to privacy protection, and some underprivileged may be easily identified or being discriminated. Another issue is data access and sharing of information, ensuring the accuracy of data is more difficult since much more data needed to be classified, and it might be awkward for companies to share information due to security issue. Thirdly, storing and transporting data is also not an easy work since it will take long time to store and transport data from internet, and backup data also requires more attention. There are also other issues like analysing methods for best results, skills requirement for expertise and technology challenge.
References:
Chaffey, D. and Ellis-Chadwick, F., 2016. Digital marketing: strategy, implementation and practice (Vol. 6). Harlow: Pearson.
McAfee, A., Brynjolfsson, E., Davenport, T.H., Patil, D.J. and Barton, D., 2012. Big data: the management revolution. Harvard business review, 90(10), pp.60-68.
Katal, A., Wazid, M. and Goudar, R.H., 2013, August. Big data: issues, challenges, tools and good practices. In Contemporary Computing (IC3), 2013 Sixth International Conference on (pp. 404-409). IEEE.