5,834 research outputs found

    Semantic business process management: a vision towards using semantic web services for business process management

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    Business process management (BPM) is the approach to manage the execution of IT-supported business operations from a business expert's view rather than from a technical perspective. However, the degree of mechanization in BPM is still very limited, creating inertia in the necessary evolution and dynamics of business processes, and BPM does not provide a truly unified view on the process space of an organization. We trace back the problem of mechanization of BPM to an ontological one, i.e. the lack of machine-accessible semantics, and argue that the modeling constructs of semantic Web services frameworks, especially WSMO, are a natural fit to creating such a representation. As a consequence, we propose to combine SWS and BPM and create one consolidated technology, which we call semantic business process management (SBPM

    Revista Economica

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    Selecting a Business Intelligence Solution that is Fit for Business Requirements

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    Many companies, organizations, institutions and governments have recognized the operating advantages they can achieve by using new business intelligence (BI) technologies. However, to achieve those advantages, they need to choose a BI solution that best fits their needs. In this paper, we present an overview of twenty business intelligence solutions present on the market and describe their most essential and upcoming features. The features are presented in two groups - basic and advanced (upcoming) features. We present two tools that can facilitate the selection process of the organization’s BI solution – the comparison table and the features pyramid. We detect four classes of maturity of BI tools reflected through the implementation of advanced features. Finally, we discuss obtained insights and provide some guidelines for choosing the right BI solution together with detected development trends

    Developing a business intelligence initiative in higher education

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    ACM Classification: H.4.2 Types of Systems – Decision SupportIn nowadays, Business Intelligence (BI) is one of the most important areas for managers and their organizations, whose investments on this type of projects are increasing. The decision-making process has become crucial to be more competitive, and higher education institutions (HEIs) are not an exception. For the last years, HEIs from all over the world have started to apply BI to their educational and decision-making challenges. In 2013, the BI Task Force from EUNIS (European University Information Systems) surveyed several HEIs to understand the maturity of their BI systems. The results revealed inconsistencies, raising the doubt about the comprehension of BI concepts. Considering this survey and its basis on maturity models, this dissertation analyses the existing models regarding higher education. Understanding the difficulties in answering the EUNIS survey from a perspective of two Portuguese universities is also a goal. It was created a feedback survey, whose results revealed it was a positive experience, although the lack of clarification of BI concepts was underlined. Thinking about other universities starting their BI journey, it was developed a kit proposal that clarifies concepts and best practices for this sector. It was validated by the two universities mentioned above, which will be starting their initiative in January 2015. This validation was made through an interview, and the feedback was encouraging. Having a guidance to be methodical in this phase was highlighted, as well as the presentation of real success cases that allow to understand what other institutions do on their daily basis.Atualmente, Business Intelligence (BI) é uma das mais importantes áreas para gestores e empresas, cujo investimento tem vindo a aumentar substancialmente. A tomada de decisão tem-se tornado fundamental para o aumento da competitividade e as instituições do ensino superior não são exceção. Nos últimos anos, instituições de todo o mundo têm começado a aplicar BI nos seus desafios. Em 2013, a BI Task Force da EUNIS (European University Information Systems) decidiu realizar um inquérito a instituições de ensino superior para conhecer a maturidade dos seus sistemas de BI. Os resultados revelaram incoerências, criando a dúvida sobre a correta compreensão dos conceitos. Tendo em conta este inquérito e a sua base em modelos de maturidade de BI, é realizada uma revisão bibliográfica dos modelos existentes direcionados para o ensino superior. Compreender as dificuldades em responder ao inquérito da EUNIS, na perspetiva de duas universidades, também é um objetivo deste estudo. Foi criado um questionário de feedback, cujos resultados revelaram ter sido uma experiência positiva, embora a falta de clarificação dos conceitos fosse sublinhada. Considerando instituições a iniciar a sua aventura em BI, foi criado um guião que clarifica conceitos e boas práticas para o sector. Foi validado pelas universidades mencionadas, que vão começar as suas iniciativas no próximo ano. Essa validação, feita com entrevistas, revelou que um guião que ajude as universidades a serem metódicas nesta fase é essencial, bem como a apresentação de casos reais de sucesso que permitem dar a conhecer o que é feito no dia-a-dia do sector

    Business process trends

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    Business process and business process management (BPM) concepts have matured over the years and new technology, concepts, standards and solutions appear. In this chapter we will therefore focus on the current and future process trends. We will elaborate on the importance of trends, the maturity of the subject, giving a perspective on what emerging trends, industry trends, mega trends are, what is hyped at the moment, and what has reached a market adoption where it has started to become the de facto standard in terms of mega trends that has achieved a dominant position by public acceptance

    A standards-based ICT framework to enable a service-oriented approach to clinical decision support

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    This research provides evidence that standards based Clinical Decision Support (CDS) at the point of care is an essential ingredient of electronic healthcare service delivery. A Service Oriented Architecture (SOA) based solution is explored, that serves as a task management system to coordinate complex distributed and disparate IT systems, processes and resources (human and computer) to provide standards based CDS. This research offers a solution to the challenges in implementing computerised CDS such as integration with heterogeneous legacy systems. Reuse of components and services to reduce costs and save time. The benefits of a sharable CDS service that can be reused by different healthcare practitioners to provide collaborative patient care is demonstrated. This solution provides orchestration among different services by extracting data from sources like patient databases, clinical knowledge bases and evidence-based clinical guidelines (CGs) in order to facilitate multiple CDS requests coming from different healthcare settings. This architecture aims to aid users at different levels of Healthcare Delivery Organizations (HCOs) to maintain a CDS repository, along with monitoring and managing services, thus enabling transparency. The research employs the Design Science research methodology (DSRM) combined with The Open Group Architecture Framework (TOGAF), an open source group initiative for Enterprise Architecture Framework (EAF). DSRM’s iterative capability addresses the rapidly evolving nature of workflows in healthcare. This SOA based solution uses standards-based open source technologies and platforms, the latest healthcare standards by HL7 and OMG, Decision Support Service (DSS) and Retrieve, Update Locate Service (RLUS) standard. Combining business process management (BPM) technologies, business rules with SOA ensures the HCO’s capability to manage its processes. This architectural solution is evaluated by successfully implementing evidence based CGs at the point of care in areas such as; a) Diagnostics (Chronic Obstructive Disease), b) Urgent Referral (Lung Cancer), c) Genome testing and integration with CDS in screening (Lynch’s syndrome). In addition to medical care, the CDS solution can benefit organizational processes for collaborative care delivery by connecting patients, physicians and other associated members. This framework facilitates integration of different types of CDS ideal for the different healthcare processes, enabling sharable CDS capabilities within and across organizations

    Fraud and Performance Monitoring of Credit Card Tokenization Using Business Intelligence

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    This project major objective is to gather all the necessary data to analyze and deliver a best analytical reporting platform. This product developed for the analysts is expected to extensively use for insights on the token provisioning and its varied utilization with the banks and merchants. Also to monitor fraudulent occurring patterns and initiate necessary steps to avoid facing any adversities in the future. The reports are generated using the principles supporting descriptive analytics. Using many different KPIs, metrics and scorecards, etc., to support the analysis has given an advantage for better yield. These analytical dashboard has given a deep dive insight for the analysts. This project has been used by many analysts to come to an agreement on different patterns noticed by each individual. Also for the Senior Executives to get a profound understanding of how the widely different tokenization are used and its different attribute wise segregation
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