Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Big data are generated from a variety of sources having different representation forms and formats, it raises a research question as how important data relevant to a business context can be captured and analyzed more accurately to represent deep and relevant business insight. There is a number of existing big data analytic methods available in the literature that consider contextual information such as the context of a query and its users, the context of a query-driven recommendation system, etc. Hover, these methods still have many challenges and none of them has considered the context of a business in either data collection or analysis process. To address this research gap,  introduce a big data analytic technique which embeds a business context in terms of the significance level of a query into the bedrock of its data collection and analysis process.  implemented our proposed model under the framework of Hadoop considering the context of a grocery shop. The results exhibit that our method substantially increases the amount of data collection and their deep insight with an increase of the significance level value.
['Loan Thi Ngoc Dinh', 'Gour C. Karmakar', 'Joarder Kamruzzaman', 'Andrew Stranieri']
I am writing a research paper on a idea Business context in big data analytics
[{"from": "human", "value": "I am writing a research paper on a idea Business context in big data analytics"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Big data are generated from a variety of sources having different representation forms and formats, it raises a research question as how important data relevant to a business context can be captured and analyzed more accurately to represent deep and relevant business insight. There is a number of existing big data analytic methods available in the literature that consider contextual information such as the context of a query and its users, the context of a query-driven recommendation system, etc. Hover, these methods still have many challenges and none of them has considered the context of a business in either data collection or analysis process. To address this research gap,  introduce a big data analytic technique which embeds a business context in terms of the significance level of a query into the bedrock of its data collection and analysis process.  implemented our proposed model under the framework of Hadoop considering the context of a grocery shop. The results exhibit that our method substantially increases the amount of data collection and their deep insight with an increase of the significance level value."}]