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While substantial business investment in business intelligence systems (BIS) is continuing to accelerate, there is an urgent need of specific and rigorous methods to assess their performance and effectiveness. There are some scholars that have handled the measurement of Business Intelligence (BI) from a value perspective; others have chosen to assess the BI process, while some have tried to rather...
This work aims to implement business intelligence strategies in an educational institution based on the distance education, particularly in the online tutoring process. In this paper we propose to use the business intelligence paradigm to analyze the online tutoring process, based on the data collected on the interactions of students and teachers in a virtual learning environment, and the results...
As data continues to be produced in massive amounts, with increasing volume, velocity and variety, big data projects are growing in frequency and importance. However, the growth in the use of big data has outstripped the knowledge of how to support teams that need to do big data projects. In fact, while much has been written in terms of the use of algorithms that can help generate insightful analysis,...
Software engineering principles form the foundation of methods, techniques, and tools. In this study, we identify software engineering principles introduced by several authors in various ways and describe software engineering procedures. Moreover, we create a template with 16 steps for merging two disparate software solutions.
In todays' rapid world, many higher education institutions are dependent toward real-time decisions. However, the struggle associated in higher education institutions without the usage of business intelligence (BI) jeopardize the decision making process. Whilst, the contribution of business intelligence are highly foreshown many positive implications and organizations that applies the Theory of Constraints...
Currently, a huge explosion of data is observed in many organizations in the world. Industry analysts and businesses are looking towards big data as the next big thing to provide opportunities, insights, solutions and a new way to increase profits in business. From social networking sites to records in a hospital, big data has played an important role to improve businesses and innovation. Businesses...
Business Intelligence plays an important role in the organization for collecting, integrating, analyzing and transforming data to be useful for effective decision making process. Nowadays, organizations are flooded with various kinds of unstructured data such as e-mail, images, reports, maps, charts, publications. An effective and efficient business model of these data could help in decision making...
for an expansive theme and questionable query, through on clients may have entirely unexpected pursuit objectives once they submit it to an enquiry motor. The thinking and investigation of client pursuit objectives is amazingly helpful in up system connectedness and client experience. All through this paper, we have a tendency to head to propose an extremely uncommon coming to search out client hunt...
Operational Business Intelligence (OpBI) supports an analysis and control of business processes by an integration of information systems (IS) from a technical and business perspective. However, determinants of IS integration for OpBI are not systemized by a theoretical basis, yet. This leads to problems in identifying generic benefits and obstacles of OpBI according to company strategies and market...
To gain the competitive advantage, valid and timely information is the key. Information is produced and consumed at a very fast rate in today's era. This is the impact of data integration technologies which has acknowledged an unpredictable growth in the last few years. For the reason that of technological advancement, data analysis systems and techniques are developed which get into the data and...
Near-misses management has drawn the attention of safety specialists to reduce the likelihood of future catastrophe for improving employee safety and process reliability. Though near miss reporting systems could be implemented successfully from a technical perspective, success may depend on employees being willing to use the delivered system. This paper examined the impact of safety climate on near...
With the continued adaption and improvement of information technology among power enterprises, all types of application systems have accumulated large amount of invaluable business data. In order to take a full advantage of the data, we need to transform the data into the insights and knowledge for the organization. These insights and knowledge can help the organization make fast, agile, and right...
Although Business Intelligence (BI) is one of the most essential technologies to be purchased, the implementation of many BI applications fails. The reasons for this failure are not clear and still not well investigated. Resource-based View (RBV) and dynamic capability theory could help to overcome this gap and to provide an appropriate theoretical basis for future research in BI area. It is considered...
After years of continued failures of enterprise resource planning systems (ERPs) organizations' executives should start thinking of some other facets that could lead to successful implementations. The goal of this study is to report on role of non-technical aspects of ERPs users those organizations, developers and vendors, system integrators and consultants have paying little attention. This study...
Many businesses today are struggling to find a better and substantive IT capability to achieve its competitive advantage. Therefore, this study aims to explore how organizational learning orientation may be the driver that may strengthen organizational IT capability. In the context of this study, organizational learning orientation involves commitment to learning, shared vision, open-mindedness, and...
UNDERSTANDER is an exploratory R&D project investigating Business Intelligence (BI) as a knowledge-gathering tool for supporting innovation processes in specific industrial domains. We develop a knowledge-based model that is grounded on the following three concepts: (i) Business Intelligence Model (BIM) developed by a Canadian project for BI technologies, (ii) taxonomy of Competitive Intelligence...
BI is at a crossroads, its place as an integral part of Data Management is secure, with everyone from the public to the private sector incorporating data into their operational processes. Yet, as the reliance on data increases, the nature of the role that BI will play in future data integration is split into two diametrically opposed possibilities that can substantially alter the form of Data Management...
Academic and practitioner literature reports on numerous Business Intelligence (BI) challenges. Spohrer states that knowledge discovery and knowledge application are two sides of the same coin where both sides are needed for value to emerge. Aligned with this, we identify that the failed emergence of BI value - typified by the prevalence of BI challenges - results from a myopic focus on producing...
Nowadays, Business Intelligence (BI) is becoming as a necessity for a lot of organizations. Figures show that billions of US dollars are spent on BI systems annually. Unfortunately, according to statistics, more than half of BI projects are ending with unrealized benefit. Many researchers tried to investigate the reasons behind this failure rate, they found one the main reasons is that many organizations...
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