問30
頻出度★☆☆
情報システムに蓄積されたデータを分析し,業務に活用することを目標としているが,社員の経験不足のために進んでいない。目標の実現に向けての優先度の高い取組みとして,最も適切なものはどれか。
平成25年度 春期 ITパスポート試験 問30
ストラテジ系システム戦略 › システム活用促進・評価
This question's explanation and your answers so far.
解説
問 30
Incorrectア
Installing one high-performance PC for analysis in each department is nothing more than strengthening the equipment side, that is, processing power. The stem clearly states that the reason analysis is not progressing is the employees' lack of experience; it does not say that insufficient PC performance is the cause. Even if you give a high-performance machine to employees who do not know how to use it, the essential problem of what to analyze and how to analyze it remains untouched. Moreover, with only one PC per department, use is likely to conflict, and the cost is large. This is an equipment investment that does not address the cause, so its priority is not high.
Incorrectイ
Making the data available for analysis at an earlier time is an improvement that raises the freshness and immediacy of the data, and it is a measure that pays off when an organization where analysis is already running takes it up as the next step. In this question, however, employees cannot analyze in the first place, which is why data utilization is not progressing. If the data arrives earlier while the ability to analyze is missing, it will simply pile up unused and will not bring the goal any closer. It does nothing about the cause, the lack of experience, so it cannot be called a high-priority initiative.
Incorrectウ
Improving the performance of the software used for analysis improves processing speed and the volume of data that can be handled; like choice ア, it strengthens the tools. The stem contains no statement that analysis is stalled because processing is slow: the cause is the employees' lack of experience. Even if performance improves, the situation in which employees do not know how to proceed with an analysis or what to focus on stays the same. If anything, richer functionality can make operation more complicated and even harder for inexperienced employees to use. It is a measure that does not reach the cause, so it is inappropriate.
- エ
正解 The correct answer is エ: Provide representative examples of analysis and templates for analysis. This question asks you to read from the stem what is blocking the goal (the bottleneck) and then choose the measure that removes that cause directly. The stem states only one cause clearly, namely that employees lack experience; nowhere does it say that the machines are slow, that the software is underpowered, or that the data arrives late. Lacking experience means a state in which, even though the data to be analyzed is available, employees do not know what angle to take, how to aggregate and compare the data, or how to connect the result to a business decision. Choice エ answers exactly that. Representative examples (real cases of good analysis) show a model of which analysis produces results for which kind of issue, and an analysis template is a ready-made form in which the aggregation axes and chart types are prepared in advance, so even an inexperienced employee can start analysis at a certain level simply by feeding in the data. In other words, examples and templates are a way of giving shape to the know-how accumulated in the organization and sharing it, and they raise employees' data-utilization skills (digital literacy) in the course of actual work. Unlike investment in equipment, this can be started in a short time at low cost, and the effect grows as successful cases spread across the organization, so it is the most appropriate high-priority initiative for achieving the goal.
ここがポイント
- In questions that ask about the priority of measures, first identify the cause (the bottleneck) indicated by the stem, then choose the option that acts directly on that cause. When the cause lies with people (skills and experience), choosing investment in things such as equipment or software is a typical mistake; a measure whose cause and countermeasure do not match contributes nothing to achieving the goal, no matter how much money is spent.
- To make use of data in business operations, employees need the ability to read data and apply it to decision-making, that is, digital literacy. Providing representative examples and templates is a means of human-resource development that shares and standardizes successful practices (know-how) across the organization so that even inexperienced employees can carry out analysis at a certain level, and it is effective as an early-stage measure for making data utilization take root.
用語