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Business Intelligence Tools Aesthetic Workshop 2012 Download And Install
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Introduction “ ‘pictura’s Cornerstone’: Karel Van Mander And His Foundation Of The Noble, Free Art Of Painting” In: Karel Van Mander And His Foundation Of The Noble, Free Art Of Painting
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By Elsa Cardoso Elsa Cardoso Scilit Preprints.org Google Scholar 1, * and Xiaomeng Su Xiaomeng Su Scilit Preprints.org Google Scholar 2
Department of Information Sciences and Technology, CIES-ISCTE—Centre for Research and Studies in Sociology, ISCTE—Instituto Universitário de Lisboa, 1649-026 Lisbon, Portugal
Protecting & Rewarding Whistleblowers
Received: 24 March 2022 / Revised: 25 April 2022 / Accepted: 2 May 2022 / Published: 4 May 2022
Business Intelligence and Analysis (BIA) systems play an important role in organizations, providing insights that enable business users to make more informed, decision-making information. However, many Higher Education Institutions (HE) do not have a valid and usable model to guide them through the further development of BIA solutions to realize the full benefits of BEER. The situation has become more serious as HE works today in a complex and dynamic environment brought about by globalization and the rapid development of information technology. This paper presents a unique BIA maturity model (MM) for HE—the HE-BIA Maturity Model. Following a research design, this paper describes the design, development, and evaluation of two artifacts: the MM and the growth measurement method. The evaluation phase consists of three studies with universities from different countries and two workshops with doctors from more than ten countries. HE institutions reported that the assessment with the HE-BIA model was (i) useful and sufficient for their needs; (ii) and contribute to a better understanding of the current situation of their BIA landscape, making it clear that the BIA program is a technological as well as an organizational development.
Business Intelligence and Analysis (BIA) systems play an important role in organizations, providing insights that enable business users to make more informed, informed decisions pressure [1, 2]. Conceptually, business intelligence (BI) systems combine architectures, databases (or data warehouses), analytical tools, and applications to provide support for decision making. [3, 4]. The goal of BI is to provide the right information, to the right business customer, at the right time and with the right content.
Traditionally, the BI component has been connected to the data search layer, also known as the BI application layer [5]. Today, BI is seen as a broad concept, i.e., an end-to-end solution, including processes and procedures that enable data to be stored and transformed into an input Kindly used for decision making. The range and sophistication of BI methods and techniques have evolved over the years. Due to the growth of analytics and big data, the term business intelligence and analysis (BIA) is constantly being used to describe current data-driven decisions. high pressure systems [2]. The use of artificial intelligence (AI) has led to a new generation of AI-enabled BI tools [6], enabling analysis, in addition to the usual explanation and forecasting. .
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As the BI term has evolved throughout the years, the growth of BI within an organization often continues. This development can be difficult, and there are many factors that must be considered to ensure the success of this type of system. The literature shows many studies on the importance of success and BI capabilities that organizations should seek to achieve in order to increase the effectiveness and impact of BIA [7, 8, 9]. Another way to think about the importance of the success of BIA projects is to think about the development model. By design, the growth model (MM) is an iterative and progressive approach [10], in which the organization starts with the initial or first stage of development and progresses to the mature state. The development model is defined by a set of dimensions and a sequence of stages (or stages) showing the development. Dimension selection in MM is the basis of the design. Often, these standards are used as self-assessment tools to identify the strengths and weaknesses of certain areas within an organization. In other words, MM enables an assessment of the current level of growth in each dimension, with consideration of the level of growth needed to achieve future success. This model is important in defining the AS-IS and TO-BE view of an organization, using the size of the growth as the main point of the evaluation.
MM can be general or specific. A widely used model can be used across different industries, making it competitive. However, this approach seems complicated, with many test questions and terms that do not specifically overlap with the words and terms of a specific one. In this paper, we focus on Higher Education (HE). In this work, development models have been used to evaluate several dimensions of HE institutions (HEIs), such as information technology (IT), management systems, online learning and research studies [11, 12]. Many BI-related development models are available in the literature [10], including models that come from education or practice. These development models can be multifaceted, such as [13, 14, 15], or specific, as [16] for higher education or [17] for healthcare.
A previous study reported that the use of BI maturity models leads to difficulties in evaluating the BI maturity of managers in European HEIs [18]. The main reason is the lack of understanding of the main points of BI and the difficulties in finding experts in each school who can correctly and know how to answer the different questions of MM. This result led to the decision in 2019 for the development of a new development model specifically for the evaluation of BIA systems in HE. The new MM is the result of a research project by two BIA experts in collaboration with the BI Special Interest Group (BI SIG) of EUNIS-the European University Information Systems, a non-profit organization aims to improve the IT landscape of HEIs through cooperation and collaboration [19] The final goal of this project is to conduct a European-level study on the development of BIA systems in Higher Education. Previous studies conducted by the EUNIS BI SIG are not conclusive [18]. Therefore, this research was started with the aim of creating a new MM, which is driven by the existing knowledge published in the literature, and considering the needs and messages of HE practitioners represented in EUNIS BI-SIG. In particular, five requirements included in the research design of this project, which led to the decision to create a new BI development model, instead of using an existing one.
This paper presents the HE-BIA development model version 2.0 that allows Higher Education Institutions to conduct a self-evaluation of their BIA solutions. The rest of this paper is organized as follows. We begin by discussing the work related to the existing BIA model, followed by a description of the research model. The next section presents a step-by-step description of the research design process. Then, we present the research material, the HE-BIA development model v2.0 and the evaluation model. In the following section, we discuss the evaluation phase and the recommendations received. The final section presents conclusions and avenues for future work.
Translating Citizen Generated Air Quality Data Into Evidence For Shaping Policy
Maturity models are designed as a means to measure the strengths and weaknesses of a BI initiative. These MMs include various archetypal levels of maturity per domain and can be used for evaluation and development. In the case of BI, many MMs are requested both from education and business (practice/consultancy). In the literature, we see many BI maturity models that have been used for several years, some of them almost two decades. Table 1 presents the content of the existing BI MM that has been analyzed in this study, selected according to the following criteria: credibility of the commentators and availability of data . The registration model can be used for any business, except for the two later models [16, 17] that have been
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