Questões de Concurso Público MPE-CE 2025 para Analista Ministerial - Especialidade: Ciências da Computação
Foram encontradas 4 questões
Ano: 2025
Banca:
CESPE / CEBRASPE
Órgão:
MPE-CE
Prova:
CESPE / CEBRASPE - 2025 - MPE-CE - Analista Ministerial - Especialidade: Ciências da Computação |
Q3307206
Inglês
Texto associado
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 following item.
It is correct to conclude from the text that one main hindrance to the successful implementation of BI is the need to stop ongoing operations to gather and secure data.
Ano: 2025
Banca:
CESPE / CEBRASPE
Órgão:
MPE-CE
Prova:
CESPE / CEBRASPE - 2025 - MPE-CE - Analista Ministerial - Especialidade: Ciências da Computação |
Q3307207
Inglês
Texto associado
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 following item.
According to the text, overall, BI solutions are not accomplishing the purpose they were designed for, since they have not been able to provide timely and readily available data to business users within their working cycles.
Ano: 2025
Banca:
CESPE / CEBRASPE
Órgão:
MPE-CE
Prova:
CESPE / CEBRASPE - 2025 - MPE-CE - Analista Ministerial - Especialidade: Ciências da Computação |
Q3307208
Inglês
Texto associado
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 following 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.
Ano: 2025
Banca:
CESPE / CEBRASPE
Órgão:
MPE-CE
Prova:
CESPE / CEBRASPE - 2025 - MPE-CE - Analista Ministerial - Especialidade: Ciências da Computação |
Q3307209
Inglês
Texto associado
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 following item.
The text states that many CIOs are abandoning BI initiatives due to reported low user adoption rates and high costs.
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