Opportunities and Challenges of Big Data Analytics

Document Type:Essay

Subject Area:Business

Document 1

Data collection and storage is crucial for any organization because it has detailed information that revolve around the very institution; this information is usually vital for the day to day operation of the organization’s activities. This paper examines the opportunities and challenges that come with big data analytics. Big Data Analytics The information harbored by an organization database system encompasses structured data, documents, videos, audios, images, and the unstructured data. The unstructured data is referred to as big data; this big data has shaped the world of storage of information. Big data take into account data that is of high variety and that which harbors high velocity (Zikopoulos & Eaton, 2011). The huge data system of storage and retrieval requires able technologies.

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The technology to be utilized ought to have the capability to control, harbor, manage, and analyze the information specifics. In fact, it should have the capacity to give solutions to complex challenges and mishaps. The integrated system of big data application has enhanced and facilitated transactions in the business world. It is now possible to detect fraud besides enhancement of scientific R&D (Chen & Zhang, 2014). Big Data Analytics system works excellently in predicting future volumes and even evolve implementation of proactive actions. Big data handling and analysis play significant roles in organizations. It is out of its implementation that businesses and organizations have got so many opportunities at their disposal. Numerous possibilities in the industry of Business Intelligence (BI) are ever growing thanks to the advancement in data handling.

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Aggregating and analyzing linear and unstructured data are presumably possible. Big Data Analytics has shaped and revolutionized management and handling the human resource of organizations. People analytic is crucial as it is the functional field of Big Data Analytics. Employees are critical to firms, they need to be managed and handled competently in a well-strategized system of data. A firm is presented with the ability to quantify staffs and assist assortment of new employees. It is, therefore, true to record that human resource administration is easier, acknowledgments being to the Big Data Analytics system. Big Data Analytics is crucial, it reflects on the challenges associated with the complex data system. Unstructured, rapid moving and machine-driven data may be too complicated to handle while utilizing the usual system of data handling.

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The solutions to data with such characteristics are only realized when a solid, stable and integrated system of big data handling is put into use. Narrowing down to social media, the data involved is too textual (LaValle, et al. In fact, it is overloaded with meanings and explanations that have a resemblance meaning. Big Data Analytics has for sure shaped the business world, however, there are limitations and challenges associated with it. One of the complications related with Huge Data Analytics is storage issues where the exponential ascent of data is not manageable. The data is too complex, though it may handle current data, the future needs remain untended. There is also the timeliness of inspection where data value reduces after a specific time (Labrinidis & Jagadish, 2012).

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Furthermore, some heterogeneous data description is not possible. Important overviews regarding big data have been highlighted to replete. Furthermore, the piece has gone to an extent of even discussing challenges and opportunities linked to big data. Big data has enormous potential if accosted from a conventional dimension. As much as big data analytics is important, this piece of writing has not shied from explaining the challenges associated with handling big data. This piece of writing for sure has conclusively examined the unprecedented opportunities, benefits and the hurdles that often occasion any beneficial progression. Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon.  Information, communication & society, 15(5), 662-679. Chen, C. P. , & Zhang, C. Labrinidis, A. , & Jagadish, H. V. Challenges and opportunities with big data.

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