The Use of Data Analytics for the Purpose of the Improvement of the Business Processes

Part II: Introduction

The article tends to cover a discussion whose context is based on the use of data analytics for the purpose of the improvement of the business processes and reducing waste. The author focuses on the need to achieve and use the analytical information to react to the issue. On the same note, the author Ismail argued that it is important to know what to measure, and subsequently track, analyze, and improve it. According to Ismail (2017), the given strategy is a significant approach through which an organization can have a proper foundation in place for enhancing the important processes for the key business activities. it follows that the article is based on the fact that process improvement is one condition that every business organization would wish to achieve. The author of the article, therefore, introduces data analytics as the most appropriate intervention based on information technology for improving business processes.

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Ismail (2017) identifies wastes as a serious problem to an organization which has the potential to reduce the efficiency of achieving to reprocess improvements. The article is therefore based on how the use of data analytics can reduce the amount and effect of wastes and ultimately achieving the overall goal of a steady and reliable level of process improvement. This is a great approach to the topic since the writer began by recognizing a serious problem which discourages the achievement of process improvement. The problem, the occurrence of wastes and their effects, can actually be solved by the data analytics aspects of technology.

Part III: Primary Topic / Research Questions or Hypothesis

The article reflects on the extent to which the wastes can, and have considerable harm to organizations based inhibiting process improvements. This is important since the background information provides historical perspectives on the problem and the attempt to offer solutions through the use of information technology. On this note, the author suggests the use of intelligence and data analytics which he speculates to be the best intervention for solving the problem. The article, therefore, utilizes the past and current research information to inform and provide facts regarding the speculation on the topic in question as a way of answering the guiding questions.

The method used in the discussion in the article begins with the knowledge of the business process and how it is affected by the occurrence of wastes which is considered to be problematic. The article also considers the possible ways through which technology control the negative of waste to an organization. The author notes that a great economic importance is attached to wastes which are not properly managed; Ismail (2017) argued that a business organization can end up spending 30% of their profits for the management of its wastes. The article presents the major conclusion that the achievement of business process improvements depends on an effective data analytics-based waste management.

Part IV: Summary/Findings

The author provides resourceful piece information in the article based on the topic. The article uses adequate background information on the issue of concern to come up with significant theories and hypothesis. Abreu, Martins, Fernandes, and Zacarias (2013) argued that this is necessary as a starting point for an inquiry into a problem. The evidence provided in the article can be relied on since the conclusions are based on the current trends most of which are practically applicable. Sufficient details are presented in the article hence the facts are comprehensive enough. The manner in which the idea in the article is communicated is simple to be understood by the reader. The information presented in the article is appropriate and relevant to the topic hence can inform a future research on the same topic (Melikoglu, Lin, & Webb, 2013).

It follows that there is the need for business organizations to have software to gather and process analytical information. New software which can serve this purpose is Domo. The use of the article is based on the need to fit in the highly competitive global markets, information complexity and time-sensitivity of today (Baltzan, 2014). The software provides connectivity and tools and connectivity for gathering and analysis of all of the organizational data, in real time and the opportunity to choose the best course of operations following the analysis.

References

Abreu, J., Martins, P., Fernandes, S., & Zacarias, M. (2013). Business Processes Improvement on Maintenance Management: A Case Study. Procedia Technology, 9, 320-330. doi: 10.1016/j.protcy.2013.12.036

Baltzan, P. (2014). Business-driven technology (6th ed.). Business Education Publishing.

Ismail, N. (2017). Using data analytics to improve business processes and reduce waste. Data Analytics & Data Science. Retrieved from https://www.information-age.com/using-data-analytics-improve-business-process-waste-123464115/

Melikoglu, M., Lin, C., & Webb, C. (2013). Analysing global food waste problem: pinpointing the facts and estimating the energy content. Open Engineering, 3(2). doi: 10.2478/s13531-012-0058-5s