A model of the dynamics of organizational communication

We propose a model of the dynamics of organizational communication. Our model specifies the mechanics by which communication impact is fed back to communication inputs and closes the gap between sender and receiver of messages. We draw on language critique, a branch of language philosophy, and derive joint linguistic actions of interlocutors to explain the emergence and adaptation of communication on the group level. The model is framed by Te'eni's cognitive-affective model of organizational communication

A Goal and Ontology Based Approach for Generating ETL Process Specifications

Data warehouse (DW) systems development involves several tasks such as defining requirements, designing DW schemas, and specifying data transformation operations. Indeed, the success of DW systems is very much dependent on the proper design of the extracting, transforming, and loading (ETL) processes. However, the common design-related problems in the ETL processes such as defining user requirements and data transformation specifications are far from being resolved. These problems are due to data heterogeneity in data sources, ambiguity of user requirements, and the complexity of data transformation activities. Current approaches have limitations on the reconciliation of DW requirement semantics towards designing the ETL processes. As a result, this has prolonged the process of the ETL processes specifications generation. The semantic framework of DW systems established from this study is used to develop the requirement analysis method for designing the ETL processes (RAMEPs) from the different perspectives of organization, decision-maker, and developer by using goal and ontology approaches. The correctness of RAMEPs approach was validated by using modified and newly developed compliant tools. The RAMEPs was evaluated in three real case studies, i.e., Student Affairs System, Gas Utility System, and Graduate Entrepreneur System. These case studies were used to illustrate how the RAMEPs approach can be implemented for designing and generating the ETL processes specifications. Moreover, the RAMEPs approach was reviewed by the DW experts for assessing the strengths and weaknesses of this method, and the new approach is accepted. The RAMEPs method proves that the ETL processes specifications can be derived from the early phases of DW systems development by using the goal-ontology approach

Business intelligence project implementation : framework

Mestrado Bolonha em Data Analytics for BusinessIn recent years, businesses have experienced a substantial increase in data availability from which they recognize a source of value. As a result, business intelligence (BI) projects are in great demand as they offer a way to transform raw data into information that may assist decision-making and hence provide corporate value. This study provides a practical view of the implementation of a BI project into a business. Link Redglue is a company that helps clients get the most out of their data through an expertise approach. The internship described in this master’s final work integrates a BI project developed by Link Redglue, the purpose of which was to implement an existing BI solution for two new clients. The data that was to be analysed was related to these clients contact-centre processes. This report details, along with a theoretical background, the BI solution's implementation, from the contact centre’s source data to the Extract, Transform and Load (ETL) processes that brought data to the BI environment and were responsible for populating the already existing data warehouse, and finally, to the reporting layer which was responsible for representing the most important indicators related to the clients' contact-centre processes using Microsoft Excel. The client's BI solution implementation resulted in a data warehouse that provides a single view of all available data as well as reporting capabilities that can be used on a daily basis to assist decision-making regarding contact-centre operations of these clients.Nos últimos anos, um aumento substancial na disponibilidade de dados nas empresas tem vindo a ser notado, o qual é reconhecido por estas como uma fonte de valor. Consequentemente, os projetos de business intelligence (BI) têm vindo a ser cada vez mais procurados pelas empresas, dado que estes oferecem uma forma de transformar dados em informações relevantes que podem auxiliar na tomada de decisões e, consequentemente, gerar valor de negócio. O presente relatório apresenta uma visão prática de como foi implementado um projeto de BI num negócio. A empresa Link Redglue tem como objetivo ajudar os seus clientes a tirar o máximo valor dos seus dados. O estágio descrito neste trabalho final de mestrado foi parte de um projeto da Link Redglue que tinha como objetivo implementar uma solução de BI já existente para dois novos clientes. Os dados utilizados para esta implementação consistiam nos dados de processos de contact-centre destes dois clientes. Este relatório descreve, acompanhado por um enquadramento teórico, a implementação da solução de BI desde os dados operacionais de contact-centre do cliente, passando pelos processos de extração e transformação dos dados responsáveis por mover os dados até à data warehouse e finalmente ao processo de reporte dos resultados ao cliente utilizando Microsoft Excel para representar os indicadores mais relevantes nos seus processos de contact-centre. A implementação da solução de BI para o cliente resultou numa data warehouse que proporciona uma visão unificada de todos os dados disponíveis, bem como a disponibilização de relatórios que fornecem informação relevante diariamente para auxiliar na tomada de decisões.info:eu-repo/semantics/publishedVersio

A Business Intelligence Framework to support a sales department: The use of Business Intelligence to aid business decisions

Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsAs the digital world continues to thrive, data is becoming one of the most valuable assets on the planet. Making Business Intelligence & Analytics, one of the most important tools used to transform the large amount of data generated into actionable insights, that support and improve management decisionmaking, across the different business activities inside organisations. Businesses must keep evolving to stay competitive in this technological environment. For this reason, business needs and requirements need to be continuously reviewed and updated. Inside EDP Comercial, where this internship occurred is no different. This project focuses on analysing and understanding the current problems for a set of sales reports delivered to the management teams inside a sales department. The proposed solution is to create a new Business Intelligence framework that will allow to transform and improve the sales data and at the same time improve the reporting system inside the department. For the development of this framework, an Extraction, Transformation, and Loading (ETL) system was created for the sales data, a new data model and new Microsoft Power BI reports. With this solution, it will be possible to have daily updated information on how the business is performing, guiding the organisation towards the right business decisions and data analysis sooner and with better quality. In the future, it will be possible to use this framework for other types of data that are delivered in the department

Pervasive business intelligence platform to improve the quality of decision process in primary and secondary education – A Portuguese case study

Business Intelligence (BI) can be seen as a method that gathers information and data from information systems in order to help companies to be more accurate in their decision-making process. Traditionally BI systems were associated with the use of Data Warehouses (DW). The prime purpose of DW is to serve as a repository that stores all the relevant information required for making the correct decision. The necessity to integrate streaming data became crucial with the need to improve the efficiency and effectiveness of the decision process. In primary and secondary education, there is a lack of BI solutions. Due to the schools reality the main purpose of this study is to provide a Pervasive BI solution able to monitoring the schools and student data anywhere and anytime in real-time as well as disseminating the information through ubiquitous devices. The first task consisted in gathering data regarding the different choices made by the student since his enrolment in a certain school year until the end of it. Thereafter a dimensional model was developed in order to be possible building a BI platform. This paper presents the dimensional model, a set of pre-defined indicators, the Pervasive Business Intelligence characteristics and the prototype designed. The main contribution of this study was to offer to the schools a tool that could help them to make accurate decisions in real-time. Data dissemination was achieved through a localized application that can be accessed anywhere and anytime.This work has been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013

A MERGE Model with Endogenous Technological Change and the Cost of Carbon Stabilization

Two stylized backstop systems with endogenous technological learning formulations (ETL) are introduced in MERGE: one for the electric and the other for the non-electric markets. Then the model is applied to analyze the impacts of ETL on carbon-mitigation policy, contrasting the resulting impacts with the situation without learning. As the model considers endogenous technological change in the energy sector only some exogenous key parameters defining the production function are varied together with the assumed learning rates to check the robustness of our results. Based on model estimations and the sensitivity analyses we conclude that increased commitments for the development of new technologies to advance along their learning curves has a potential for substantial reductions in the cost of climate mitigation helping to reach safe concentrations of carbon in the atmosphere.Climate change stabilization policies, Non-linear optimization, Induced technological change, Energy and macroeconomy

Intelligent profile analysis graduate entrepreneur (iPage) system using business intelligence technology

The increase use of information in Malaysia Ministry of Higher Education (MOHE) is resulted from the process of huge and complex data in several stages and at different locations.This situation leads to the difficulties of data management and problematic usage for decision making. Business Intelligence (BI), which is, the process of collecting, analyzing, and transforming data using Data Warehouse (DW) is seen as one of the growing approaches to provide meaningful information.The MOHE is responsible for managing various activities to promote the graduate entrepreneurs to venture into the business and ensure the country has many successful entrepreneurs.Therefore, systematic and accurate information needs to be available for planning, implementation, and monitoring entrepreneurs' performances.This paper proposes the modeling and designing of the graduate entrepreneur profile application called Intelligent Profile Analysis Graduate Entrepreneur (iPAGE) using BI technologies and supporting by a DW approach.Two main methodologies were used namely: Requirements Centric Operational Data Store (ReCODS) and Rapid Application Development (RAD) to develop this system.The iPAGE system was validated and evaluated by iPAGE users and DW experts.It is used to be a guideline for the development of an entrepreneur information system in the future

Real estate: Developing a data model for the city of Lisbon to improve information sharing

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThe digital and technological transformation throughout the 21st century proved to have interference in the overall functioning and modus operandi of areas such as the financial sector. The economic importance of real estate allied to the Information and Communication Technologies transformation may also alter the perception and the way the market faces and interacts with this sector. This work will try to bridge the real estate market to the world of information and communication technologies taking advantage of these to generate knowledge on this market. While there are many possibilities available to explore these two concepts, this project will use the available literature to gather insights on both and use them to develop a data model. This data model will be applied on the Portuguese real estate market, more specifically in the city of Lisbon and the districts of Oeiras, Amadora, Odivelas and Loures. It is aimed to understand in what way could the technological and communicational technologies that are nowadays accessible, bring benefits to its users in terms of speed, reliability, readability and convenience when consulting real estate information. It is expected that the search intensity can be increased while lowering its costs (time, opportunity) while also reducing information asymmetry. It will also be interesting to understand if the implementation of technological tools can act as a substitute or if they will be used as a complement of traditional methods in the real estate sector. This project is going to be applied to an actual real estate sector context