| dc.description.abstract | Big Data Analytics (BDA) is evolving as an essential topic for researchers and practitioners due to its potential to improve business efficiency and productivity in a firm. Despite the opportunities and strategic business values that can be gained from the use of big data analytics (BDA), some various challenges and obstacles need to be addressed during the adoption of BDA. Many researchers describe how values are created from the adoption of big data analytics in an organization. Still, there are very few papers focusing on the challenges and barriers the company faces while adopting and creating values from big data analytics. The main objective of this thesis is to investigate the various challenges and obstacles experienced by the organizations while utilizing BDA tools for creating and converting extensive data into business value.
This study aims to answer the following research questions:
RQ1: How do organizations use big data analytics in the decision-making process?
RQ2: Does big data creates value in an organization, and through what ways?
RQ3: What are the main challenges in the deployment of big data analytics?
The semi-structured interview was conducted with two different companies from Greece and Nepal to answer our research questions. The paper compares the cases and presents how the firms implement BDA tools and strategies for generating business values and achieving competitive advantages. This research also identifies the various BDA benefits and BDA issues experienced by the organizations.
Keywords: Big Data Analytics, challenges, business value, adoption | |
