611 research outputs found

    Dynamic integration of biological data sources using the data concierge

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    Organizational consequences linked to the incorporation of ERP into companies' service-marketing activities

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    ERPs offer a two-fold answer to the need for integration. The first is technical in nature, since the architecture of these programs is designed to ensure the compatibility of their software components and the transparency of their data. They also offer a dynamic approach, because ERPs are mechanisms for incorporating a company's specific functional elements. However, the ERP solution cannot replace every existing management computing system. Accordingly, applying ERP to existing systems will have a significant cost, whether it occurs in the implementation of ERP itself or in the work of making over the firm's own information system. The field surveys that have been carried out show that good management practices already included in non-ERP computing systems can easily be transposed into ERP systems. Conversely, applications that do not follow a horizontal management structure create incompatibilities if we attempt to transfer them into an ERP. The influence of the firm's structure on the implementation of ERP will depend on how compatible it is with the underlying structure of the ERP (structure must follow strategy: A. Chandler.)ERP, organizational structure, strategy, information system, integration.

    Utilizing business intelligence at the operational level

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    Abstract. The objective of this thesis is to explore how business intelligence can be utilized at the operational level of the case company. The stakeholders of the study are two teams working on the customer interface of a Finnish software company. The case company wishes to explore the use of business intelligence in a new context where it has not been utilized before. Providing stakeholders with the capability to utilize business intelligence tools can help them streamline their reporting tasks, as well as provide them with capabilities to visualize data, filter data based on their needs, and provide access to aggregated data. The study includes a literature review on business intelligence, business analytics, and analytical maturity. The research method used in this study is design science research, which involves designing and developing an innovative artifact to address problems that the case company is currently facing. The research data was gathered through interviews, in which nine senior-level employees were interviewed to gather insights about the current situation of the reporting, data, key figures, and their previous experiences with business intelligence. This resulted in an in-depth snapshot of the current problems detected in reporting solutions captured in the form of qualitative data. This data was analyzed to establish the objectives and requirements that the artifact should aim to address, following the principles of design science research methods. Based on these objectives and requirements, the artifact was designed and developed. The functionalities of the artifact were demonstrated and subsequently evaluated by forming illustrative scenarios to support the artifact’s effectiveness. The main findings of this study indicate that the artifact can serve as an efficient addition to the current reporting tools. It offers easier access to data and introduces functionalities that are not currently available with other reporting tools. However, these findings were overshadowed by two major limitations discovered during the design and development phases. The limitations encompassed the current availability of the licenses required to utilize the artifact and the case company’s data governance policies. These limitations, combined with the time constraints of this thesis, resulted in the artifact not being evaluated with stakeholders

    Extending Knowledge Management to Mobile Workplaces

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    Knowledge and Knowledge Management (KM) are evolving into an increasingly eminent source of competitive advantage. However,for the time being, the potential of KM is usually limited to stationary workplaces. This excludes a multiplicity of mobile workers, many of them in charge of knowledge-intensive activities.This paper examines the capabilities and limitations of mobile technology usage in order to support KM. After a general overview of KM, the relevant mobile technology is introduced.Subsequently, the theory of mobile added values is employed to analyze the contributions of mobile technology for supporting KM in the different phases of the KM process. Especially the process of knowledge distribution is qualified to be supported through mobile technology.Knowledge Management; Mobile Commerce; Mobile Knowledge; Management; Mobile Business Processes; Mobile Added Values

    A requirements engineering approach based on the alignment of data warehouses and business strategy

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    Garantizar que los almacenes de datos estén alineados a la estrategia del negocio es primordial para su éxito, ya que estos son utilizados por los gerentes del negocio con el fin de analizar los datos estratégicos de la organización. En este trabajo presentamos un enfoque de ingeniería de requerimientos orientado al negocio que alinea el Almacén de Datos a su plan estratégico. El proceso se describe mediante un conjunto de directrices que incluyen: el análisis VMOST para obtener los objetivos desde los usuarios, el modelo BMM para comprobar que los objetivos definidos estén alineados con la estrategia, el modelado de objetivos por medio de i* con el fin de obtener los requerimientos de información del Almacén de Datos, y el modelado multidimensional mediante un perfil UML. Se presenta un estudio de caso para mostrar el proceso completo.Ensuring that data warehouses are aligned to the business strategy is critical for their success, as these are used by business managers to analyze the organization's strategic data. An approach to requirements engineering-oriented business that aligns the data store to its strategic plan is presented. The process is described by a set of guidelines that include: VMOST analysis to obtain the objectives from the users, the BMM model to verify that the defined objectives are aligned with the strategy, modeling objectives through i* to obtain the information requirements of the data warehouse and multidimensional modeling by UML profile. A case study to show the entire process is presented.Este trabajo se ha realizado con el apoyo de la Dirección de Investigación, Vicerrectoría de Investigación y Postgrado de la Universidad de La Frontera, a través del Proyecto de Investigación DIUFRO DI11-0044
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