Business context in big data analytics

A survey on context awareness in big data analytics for business applications

“…A number of recent research studies have shown that the use of context in interactive applications is very useful and important [36], [37], [38], [39], [40], [41]. By considering context in computer applications, it has been demonstrated that the number of irrelevant results is reduced and more accurate data are collected.…”

“…The amount of data is selected based on the relevance themselves to the context or the need of the organisation (e.g., business goals). This results in a significant reduction of volume and increase in relevancy in data collection [38], [47].…”

“…Business context model for big data collection and processing: Recently, the present authors introduced a business context model reflecting various aspects and activities in an organisation, such as the physical environment and product aspects of a business, suitable for data collection and processing in a big data scenario [38]. The contextual information of this model refers to the background nature of a business and its situational values (the values that change over time).…”

“…This will collect more data but with increased relevancy through semantic manipulation, thereby enabling capture of deep insights. In the work reported in [38], we introduced a method that addressed this issue for text type data only, but it is not suitable for other data types (e.g., video, audio, image). Hence, it remains a challenge to model the business process to enable big data to handle diverse data types concurrently.…”

The Importance of Big Data Analytics in Business: A Case Study

“…Hadoop is document system, which permits capacity for whatever sort of the data, Hadoop goes by on the fly demonstrating of the data, which might be truly a chance to be imperative and at the same time coordinated and available for huge information, so analytics might improve those benefits of the business insights [10]. On the other hand the authors in [11] introduced a big-data-analytic technique which establish a business context in phrase of the significance level of a query their proposed model using Hadoop within a grocery market, the proposed technique consist of 3 steps, the first one is representing the business context by specifying the keywords that will be used in the query to collect data, the second one is collecting relevant data to the business context from all conceivable grocery and finally analyzing the final data, the query was "How were the customers experiences with fruit and vegetable purchased from the shop?" the answers are collected and analyzed using Hadoop, the results show that their technique basically increases the amount of the collected data and increase the revenue values [11] Big data depend on the implementation and procedures of difficult manners comparing to small datasets.…”