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Questão FC171125

The business intelligence (BI) industry has been challenged with poor user adoption for years. Yet, many CIOs continue to push BI as a core initiative. Billions of dollars have bee

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CEBRASPE (CESPE) · 2025

The business intelligence (BI) industry has been challenged with poor user adoption for years. Yet, many CIOs continue to push BI as a core initiative. Billions of dollars have been spent on traditional BI, but adoption rates are below 30%. Why? Successfully levering the full capabilities of business intelligence is still difficult to achieve, and product managers are searching for more. These individuals are looking for ways to expand the impact and value of their BI tools but are lost about where to start.

The overall goal of BI is to provide business teams with the proper data and information at the right time to create insightful, data-driven decision-making. However, these solutions fall short and continually fail the industry through inefficiency, hefty costs, and an overall lack of value and insightful data production.

Currently, traditional BI solutions force users to exit their current workflow to even attempt and secure any valuable data.When your team is operating in the middle of their workflow and needs data to inform a decision, they shouldn’t have to exit the application to enter yet another application, gather data and then jump back in. The likelihood of delays in report deliverability also factors into this headache. This process dramatically slows down any workflow and causes frustration for employees, especially when the data secured isn’t always useful.

Additionally, many BI tools are not designed for business users but instead for more technical individuals within the organization. Traditional vendors often try to cover the complexity of their solution with self-service options and features, but users continue to feel like they need an advanced engineering or computer science degree to navigate them. This sucks up valuable time for non-technical users as they work to navigate a difficult platform to get the information they need.

Internet: <rtinsights.com> (adapted).

Based on the previous text, judge the follow item.

The most frequent reason for low BI adoption is that users discover provided data ever-more insightful and directly applicable in the current workflow.
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Comentário: A afirmação está errada porque o texto destaca que a baixa adoção de BI se deve à dificuldade dos usuários em acessar e utilizar as ferramentas de forma eficiente, não à qualidade dos dados fornecidos. O texto menciona que os usuários frequentemente precisam sair de seus fluxos de trabalho para acessar dados, o que causa frustração. Além disso, muitos BI tools são projetados para usuários técnicos, o que dificulta ainda mais a adoção por parte de usuários de negócios. Portanto, a razão para a baixa adoção não é a percepção de que os dados são úteis, mas sim a complexidade e ineficiência das ferramentas.

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