Adoption of Big Data in small-to-medium sized bussness marketing
Big data is a term referring to large volume data , structured, semi structured or unstructured collected through various channels which bussness can use. However, with social media coming to be central in our society, the is lot of unstructured data generated from this plat forms i.e. blogs, images, email Facebook, link in
The key challenges with this data is inability to store and process as the technology required is expansive and most of small companies can not afford it. It sis also difficult to verify and authenticate it as it is collected from versus unstructured channels. The latency between the time the data is collected and the time the data is available for consumption is high. Also the interstation of this data with the traditional data remains a challenge for small to medium size companies.
Managing big volumes of data introduces problems related to infrastructure. For a small bussness manageability of this amount of data remains a challenge. Security of this data during data generation, data storage and consumption remains a big risk for a small companies . The risk is exposure of this data to non legitimate users. To manage this risk, small to medium sizes companies need to invest in introducing policies and control. The challenge is that the financial resources are limited .
Dhar (2014) noted that Big Data adoption needs proper data modelling unified data infrastructure across structured and unstructured data elements with huge volumes in Oder to be able to achieve reusability of the solution.
In conclusion , in the past years, Big Data technologies have gained considerable attention due its potential to transform the data mining and also bussness analytics practices. This gives possibility of high effective decision making process and it also makes serves as tool to simplify bussness analysis. The future of Big Data looks bright and more promising as the cost of handling and storing data reduces. It is also anticipated the development of technology, most the challenges raised will be eliminated.
Reference
Dhar, S. and Mazumdar, S., 2014, June. Challenges and best practices for enterprise adoption of big data technologies. In 2014 IEEE International Technology Management Conference (pp. 1–4). IEEE.
Sun, S., Cegielski, C.G., Jia, L. and Hall, D.J., 2018. Understanding the factors affecting the organizational adoption of big data. Journal of Computer Information Systems, 58(3), pp.193–203.
