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1. Heightened Fears about the Problem of Missing Children in the Absence of Data

   The problem of missing children can be one that is psychologically destabilising to most parents who find themselves on the end of having their children away from them for hours, weeks or years. This problem is exacerbated when there is limited or no data to help in tracing and finding the children after a long while. It is sensible that law enforcement agencies have a comprehensive register that can be used to accurately track the missing children. This data can be used by law enforcement or even be shared by the public so that both can play their part in ensuring that the missing children are found. In the absence of Data, there is little hope for finding the missing children and so there usually are heightened fears.

   First of all, there is need to have all the data needed on missing children in a single register. The chances of finding a missing child greatly increase when the search efforts are directed and implemented from a single source (Hedges 2014). Having one registry maintain the data makes retrieval easy for various organisations, individuals or even law enforcement to get all the information they need from one source. Having this single register streamlines the search efforts and makes them systematic. Often, when the panic of missing children hit parents and relatives, information about the missing children is shared on various platforms by different people. This creates confusion because some tips even end up getting lost when they contact the wrong people with information that may be of help in these cases.

   Having data available about missing children is vital because then, law enforcement and organisations involved in finding lost children can establish patterns and links about missing cases and use this information in their search efforts. Because of their vulnerability, children form the bulk of missing cases that are reported annually in the whole world. Sometimes, there are deliberate organised syndicates that are engaged in having these children taken against their will. The patterns that such missing children form can cause patterns to emerge. These patterns can only be identified and broken when there is enough data available.

   Being in possession of data in one registry is not enough, the data availed has to be accurate. ICMEC (2016) asserts that the most important hours in trying to find missing children are the first 24-48 hours after the children go missing. It is when the activities that happened within these hours are analysed and understood quickly that a potential lead can be established. The parents then have to make sure that the data availed for what transpired before the children went missing is accurate and can be useful in helping find the missing ones. Accuracy is not only about the first few hours of a reported missing case; it is also about the detailed description of those who have gone missing. The missing children have to be described accurately and in considerable detail. Their physical attributes, clothing, birthmarks, scars, tattoos, locality, school have to be recorded accurately as part of the data to make sure that the process of finding them is not protracted.

   As described above, the problem of missing children can often be extremely troublesome especially when there is no data that can be relied upon to find them. Law enforcement must have accurate, timely and centralised data management to make the process of finding missing children simpler.

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Assessing Risk and Reward

The Nissan Motor Company is one of the leading automobile makers in the world. The Japanese carmaker has primarily enjoyed a successful run, allowing it to enter various regional and international markets such as the United States. However, the changing business environment was not favorable to the company in 2019. Notably, the cooperation recorded losses amounting to 7.8%. The experience pushed the management into making tough decisions, requiring almost all of its North American workforce to go for unpaid leaves.

In late 2019, the company announced that the decline in sales necessitated a two-day unpaid leave for the North American workers. The stated days for the vacation were January 2 and 3^rd    (Chicago Tribune, 2019).  Notably, this move was a crucial decision for the company because of its conflicting impacts. Whereas on the positive side, it could help the firm minimize expenses, it threatened to affect the public perception of the company regarding employee welfare.

The rewards for the decision involved cutting expenses by not paying the workers on leave, which eventually would translate into reduced expenses. Another reward was that the decision could allow the company to optimize performance by evaluating employee performances then developing new milestones. However, on the low side, the company risked affecting its public image and brand name, especially in the North American market. As per Chakravorti (2010), the way an organization treats its employees influences the firm’s public perception. Thus, Nissan risked eliciting a negative public perception. With a distorted public image, the company could fail to revive its declining sales.

I would have advised the management of Nissan to utilize the Predictive Analytic perspective in determining the right decision to take. Ideally, the approach tries to predict what might happen in the future if particular decisions or actions are undertaken at the moment (Traymbak & Aggarwal, 2019). Looking at the situation at Nissan, the company needed to develop a goal such as increasing sales. After that, they would have made decisions aimed at realizing the set goal. In this regard, the predicted outcome could give the management an overview of whether more risks existed or significant rewards could be realized.

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