Questões de Concurso

Atenção: As questões de números 57 a 60 referem-se ao texto abaixo.

    The literature is full of testimonials for data warehousing. There is almost nothing about the arguments [PREPOSITION] data warehousing. In this paper I attempt to slightly fill that void by shedding light on business and cultural factors that greatly lessen the value of data warehousing for certain organizations. By the way, when I refer to data warehousing, I refer to both centralized data warehousing systems and data marts.
    Some of the reasons data warehousing efforts may not be appropriate for certain organizations are:

Data warehousing systems, for the most part, store historical data that have been generated in internal transaction processing systems. This is a small part of the universe of data available to manage a business. Sometimes this part has limited value.

    That is, sometimes the business end user community does not have a strong interest in old transaction processing system data beyond what are available in basic reports generated in transaction processing systems. This lack of interest often stems from the fact that the markets in which a business competes are in great flux or that the internal structure of the organization is in perpetual transition. If these conditions exist, there may not be a solid historical base to compare current performance with. Also, sometimes there is a lack of interest in looking at this data in any in-depth way because a business is so simple that a data warehouse is overkill.

Data warehousing systems can complicate business processes significantly.

    [CONJUNCTION] the interest in business process reengineering seems to have waned, some of the appreciation of how complicated processes can slowly strangle a business has remained. Data warehousing, if unchecked, can foster the "institutionalization" of easily created reports whose reason for being quickly is forgotten while people still toil to process these reports. If your organization does not know how to throw out processes (pardon my calling producing, distributing, and reading a report a "process"), data warehousing can quickly add clutter to the business environment.

[TEXT]

    Despite the speed of the data warehousing development effort, it takes time for an organization to figure how it can change its business practices to get a substantial return on its data warehousing investment. I speculate that rigorous analysis of the return on most of the major data warehousing implementers' investments would find a much longer average payback period that you would surmise from reading the trade press.

Atenção: As questões de números 57 a 60 referem-se ao texto abaixo.

    The literature is full of testimonials for data warehousing. There is almost nothing about the arguments [PREPOSITION] data warehousing. In this paper I attempt to slightly fill that void by shedding light on business and cultural factors that greatly lessen the value of data warehousing for certain organizations. By the way, when I refer to data warehousing, I refer to both centralized data warehousing systems and data marts.
    Some of the reasons data warehousing efforts may not be appropriate for certain organizations are:

Data warehousing systems, for the most part, store historical data that have been generated in internal transaction processing systems. This is a small part of the universe of data available to manage a business. Sometimes this part has limited value.

    That is, sometimes the business end user community does not have a strong interest in old transaction processing system data beyond what are available in basic reports generated in transaction processing systems. This lack of interest often stems from the fact that the markets in which a business competes are in great flux or that the internal structure of the organization is in perpetual transition. If these conditions exist, there may not be a solid historical base to compare current performance with. Also, sometimes there is a lack of interest in looking at this data in any in-depth way because a business is so simple that a data warehouse is overkill.

Data warehousing systems can complicate business processes significantly.

    [CONJUNCTION] the interest in business process reengineering seems to have waned, some of the appreciation of how complicated processes can slowly strangle a business has remained. Data warehousing, if unchecked, can foster the "institutionalization" of easily created reports whose reason for being quickly is forgotten while people still toil to process these reports. If your organization does not know how to throw out processes (pardon my calling producing, distributing, and reading a report a "process"), data warehousing can quickly add clutter to the business environment.

[TEXT]

    Despite the speed of the data warehousing development effort, it takes time for an organization to figure how it can change its business practices to get a substantial return on its data warehousing investment. I speculate that rigorous analysis of the return on most of the major data warehousing implementers' investments would find a much longer average payback period that you would surmise from reading the trade press.

Atenção: As questões de números 57 a 60 referem-se ao texto abaixo.

    The literature is full of testimonials for data warehousing. There is almost nothing about the arguments [PREPOSITION] data warehousing. In this paper I attempt to slightly fill that void by shedding light on business and cultural factors that greatly lessen the value of data warehousing for certain organizations. By the way, when I refer to data warehousing, I refer to both centralized data warehousing systems and data marts.
    Some of the reasons data warehousing efforts may not be appropriate for certain organizations are:

Data warehousing systems, for the most part, store historical data that have been generated in internal transaction processing systems. This is a small part of the universe of data available to manage a business. Sometimes this part has limited value.

    That is, sometimes the business end user community does not have a strong interest in old transaction processing system data beyond what are available in basic reports generated in transaction processing systems. This lack of interest often stems from the fact that the markets in which a business competes are in great flux or that the internal structure of the organization is in perpetual transition. If these conditions exist, there may not be a solid historical base to compare current performance with. Also, sometimes there is a lack of interest in looking at this data in any in-depth way because a business is so simple that a data warehouse is overkill.

Data warehousing systems can complicate business processes significantly.

    [CONJUNCTION] the interest in business process reengineering seems to have waned, some of the appreciation of how complicated processes can slowly strangle a business has remained. Data warehousing, if unchecked, can foster the "institutionalization" of easily created reports whose reason for being quickly is forgotten while people still toil to process these reports. If your organization does not know how to throw out processes (pardon my calling producing, distributing, and reading a report a "process"), data warehousing can quickly add clutter to the business environment.

[TEXT]

    Despite the speed of the data warehousing development effort, it takes time for an organization to figure how it can change its business practices to get a substantial return on its data warehousing investment. I speculate that rigorous analysis of the return on most of the major data warehousing implementers' investments would find a much longer average payback period that you would surmise from reading the trade press.

Atenção: As questões de números 57 a 60 referem-se ao texto abaixo.

    The literature is full of testimonials for data warehousing. There is almost nothing about the arguments [PREPOSITION] data warehousing. In this paper I attempt to slightly fill that void by shedding light on business and cultural factors that greatly lessen the value of data warehousing for certain organizations. By the way, when I refer to data warehousing, I refer to both centralized data warehousing systems and data marts.
    Some of the reasons data warehousing efforts may not be appropriate for certain organizations are:

Data warehousing systems, for the most part, store historical data that have been generated in internal transaction processing systems. This is a small part of the universe of data available to manage a business. Sometimes this part has limited value.

    That is, sometimes the business end user community does not have a strong interest in old transaction processing system data beyond what are available in basic reports generated in transaction processing systems. This lack of interest often stems from the fact that the markets in which a business competes are in great flux or that the internal structure of the organization is in perpetual transition. If these conditions exist, there may not be a solid historical base to compare current performance with. Also, sometimes there is a lack of interest in looking at this data in any in-depth way because a business is so simple that a data warehouse is overkill.

Data warehousing systems can complicate business processes significantly.

    [CONJUNCTION] the interest in business process reengineering seems to have waned, some of the appreciation of how complicated processes can slowly strangle a business has remained. Data warehousing, if unchecked, can foster the "institutionalization" of easily created reports whose reason for being quickly is forgotten while people still toil to process these reports. If your organization does not know how to throw out processes (pardon my calling producing, distributing, and reading a report a "process"), data warehousing can quickly add clutter to the business environment.

[TEXT]

    Despite the speed of the data warehousing development effort, it takes time for an organization to figure how it can change its business practices to get a substantial return on its data warehousing investment. I speculate that rigorous analysis of the return on most of the major data warehousing implementers' investments would find a much longer average payback period that you would surmise from reading the trade press.

Atenção: As questões de números 53 a 56 referem-se ao texto abaixo.

    Managing government has never been more challenging. Public sector leaders face increasing expectations from citizens, businesses, elected officials, and employees. Pressed to provide services and information more quickly and cost effectively than [ADVERB], they are often saddled with legacy information systems that fail to leverage current technology or provide an enterprise-wide view of government.
    To meet these challenges, Oracle introduces Oracle iGovernment, a platform for innovative, integrated, and intelligent operations that lets you tear down silos and link frontand back-office operations while reducing costs and increasing responsiveness. With Oracle iGovernment you can modernize your IT infrastructure, increase efficiency and transparency, and improve service delivery.
    Oracle is the world's largest business software company, with more than 345,000 customers. And only Oracle delivers a complete platform of database, middleware, and applications—all based on open standards—to transform your organization.
    Oracle has reinforced and extended its public sector offerings with the acquisition of Sun, the leading provider of open-standards based Solaris and Linux platforms, architect of the award-winning SPARC processor family, and a key founding member of the Java community. Oracle's Sun solutions for the public sector provide a comprehensive set of capabilities for mainframe rehosting and migration and enterprise consolidation, enhancing our complete, open, and integrated solutions that support Oracle's iGovernment vision. Sun's advanced systems, storage, and services are designed to give you the value you expect, the quality you need, and the expertise you require to fully modernize your IT infrastructure.