Recent improvements in techniques for analysis and usage of Big Data allow us to extract key conclusions from a vast amount of data. Applying this knowledge in the business world has proven to be beneficial in some cases for company performance indicators and profitability, while being a waste of resources in others. In this study we analyse a sample of 182 start-up companies in Catalonia by classifying them into three company types based on their business model and dependence on what we define as ...
Recent improvements in techniques for analysis and usage of Big Data allow us to extract key conclusions from a vast amount of data. Applying this knowledge in the business world has proven to be beneficial in some cases for company performance indicators and profitability, while being a waste of resources in others. In this study we analyse a sample of 182 start-up companies in Catalonia by classifying them into three company types based on their business model and dependence on what we define as Big Data Techniques. We present the situation of this businesses by analysing the characteristics of each of the three company types. A final section concludes with our results and their mplications, as well as flaws and further research possibilities.
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