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Information Systems Article analysis

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Information Systems Article analysis

  1. The impact of big data analytics on firms’ high-value business performance by Aleš Popovič, Ray Hackney, Rana Tassabehji & Mauro Castelli

This article analyzes how big data analytics have transformed operations management more so in the manufacturing sector. The researchers applied a qualitative interpretive approach to leverage on a comparative case study of three business firms that applied big data analytics at varying degrees. The ranges were experimental, moderate, and heavy usage of this approach. The results were compared for further inferences regarding the usage of big data analytics in managing organizational functions.

The outcomes indicated that Big Data Analytics, BDA, helped companies achieve operational efficiency through accurate decision making, enhanced expertise through specialization as well as an empowered staff. These findings are essential in the context of applying information systems to enhance organizational operations. Traditionally companies relied on traditional approaches to improving company performance.

However, the advent of big data analytics has come with hefty benefits as now companies can make accurate decisions. Using analytics to predict market trends is proving to be invaluable to ambitious companies. For instance, they can tailor their operations to accurate predictions. The same applies to the decision-making mechanisms. Now managers can rely on data analytics to make sound and accurate decisions.

Companies are after realizing a high value in terms of performance. In light of this, the BDAs can be used to augment the prevailing managerial capabilities. This study is crucial as it sets an excellent example that scholars can research further. For instance, they can explore the specific ways data analytics can be used to enhance business operations, thus enhanced profit margins.

Predicting customer behaviors and customer trends is an integral element in helping companies enhance their marketing success. As the researchers found out, accurate predictions are part and parcel of successful managers. Through the incorporation of insights from Big Data Analytics, companies can enhance their performances through accurate predictions on which they can tailor their marketing messages.

Business productivity is another benefit that companies can realize by making the most of BDAs. For instance, through accurate management of plans and workflows, data analytics helps companies to maximize the productivity of their staff members. They ensure that the employees are motivated to perform well on their tasks. These analytics are a vital component in making the right decisions on how employees can be engaged to ensure optimum performances from them.

  1. The business value of big data analytics: A systems-theoretic approach and empirical test by John Qi Dong and Chia-Han Yang.

For some time now, big data analytics are deemed to be the perfect solution to innovation and marketing in businesses. This study aimed to empirically prove that these benefits can be actual on a large scale. They compared between small and medium enterprises to deduce these benefits. The outcome of this study was that big data analytics and social media diversity had positive interaction outcomes as well as their performances in the market.

Important to understand in this context is that the outcomes are more profound in SMEs compared to large corporations. The primary reason for this result is that the impacts are easily palpable in a small organization while it takes time for the same to be reflected in large corporations. These are significant insights since they help companies understand their scale of operation and how they can incorporate these concepts into their mainstream operations to improve on their performances.

Social media marketing is an integral part of the marketing success registered in organizations. However, for these successes to be achieved, companies need to know the exact standing of the potential buyers. These analytics are essential as they help the companies to predict their behavior in the future correctly. As a result, they can come up with excellent plans and ways of achieving them. Thus, they can sustain their operations this way.

However, there are essential elements that companies must know for them to benefit from these insights. For instance, they must understand the direction their business is taking and what their priorities are. They must understand what those numbers imply. Chief to this understanding is comprehending the factors that lead to the formation of some numbers. These events are critical as they will have to be featured in the decision-making stage. Also, all interpretations should be formulated in an easily understandable language. In this way, leaders can understand their implications when they make decisions.

 

 

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