There exist numerous types of challenges and problems SMEs do face in implementing Big Data solutions. To begin, the need of big data specialist and the lack of employees not having the necessary skills continue to be a real obstacle to the deployment of Big Data solutions in SMEs. Even though SMEs are aware of the need to train their squads internally and recruit data experts, they are not yet making the necessary efforts to adopt the skills needed to undertake the implementation of big data solutions within their business. Consequently, based on the e- skills survey, SMEs have a low degree of comprehension as regards to big data analysis, while among the delegates of bigger associations around 30 to 40 % guarantee to have great comprehension of enormous information investigation. Unmistakably SMEs won’t venture into a space which they apparently don’t get it due to the absence of competent workforces. Therefore, there is a need for SMEs to either hire experts or train existing employees on the use of big data analytics (S. Coleman et. al. 2016).
Financial Difficulties: Massive capital requirements and the non-availability of resources is another potential challenges SMEs face in adopting Big Data solutions. Nowadays, the IT industry is very aggressive because of the use of big data by a number of large companies. Most of these larger companies have huge capital at their disposal. The huge capital enable them to implement big data solution in their business as compared to SMEs who do not have sufficient funds to do so. Therefore, the lack of huge available capitals is a barrier for SMEs to enter the market and establish brand recognition and obtain market responsiveness with regards to the use of data. For example, a study conducted by IDC revealed that many SMEs are late to apply big data solutions because they are still learning or evaluating Big Data without a well-defined approach. They do not yet have a strategy or real Big Data skills or budgets associated with this type of project. The study further stated that they lack the skills or experience to address all issues in of technology, vision, resources, data and processes. Numerous SMEs cannot manage the cost of the master legal counselor as well (Lamour, S. & Slaoui, Y. (2016).
Protection and Security are additionally vital difficulties for SMEs when implementing Big Data solutions. Since the data of a company comprises a lot of complex information, it is extremely troublesome for an SMEs to sort this information on protection levels and apply the agreeing security. Also, data storage and data quality is another problem SMEs face while implementing Big data solutions. In that, the problem associated with data storage has to do with information which can be both organized and unstructured. They are profoundly powerful and don’t have a specific arrangement. As a result, organizing this information could be very challenging. On the other hand, the problem associated with the data quality has to do with Big data processing which requires “an investment in computing architecture to store, manage, analyze and visualize an enormous amount of data” (Sedkaoui, 2018, p 39).
The challenge is not just to gather the information, SMEs confront troubles with respect to time while actualizing Big Data measures as the volume of the information to be dealt with rises, they will set aside greater opportunity to do the check-up. As a result, they face difficulties with regards to time when implementing Big Data solutions as the volume of the data to be treated rises, they will take more time to do the analysis. Notwithstanding that they may be confronted to issues, like, economies of scale higher exchange costs with respect to extensive undertakings of the implementation of big data throughout their business, finally, the failure to have enough resources targeted to research and development. To further illustrate these various challenges.
With the above explanation, SMEs may face three key challenges when implementing Big Data solutions. These three key challenges are identified as: Data challenges, process challenges and management challenges. In that, the first is related to the gathering of difficulties identified with the attributes of the information itself.. The latter challenge alludes to every one of those difficulties experienced while handling the information. The final The last difficulties manages protection, security, administration and absence of aptitudes identified with comprehension and breaking down information (Sivarajah, u, et al. 2017).
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