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Ieee Research Papers Business Intelligence

business intelligence 2016 IEEE PAPER




Fraud Detection on Bulk Tax Data Using Business Intelligence Data Mining Tool: A Case of Zambia Revenue Authority
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Abstract: Zambia Revenue Authority (ZRA) generates large volumes of data that need complex mechanisms in order to extract useful tax information. The purpose of the study was to develop a data mining model for detection of fraud on tax and taxpayer data for ZRA.

Effectiveness of Agile Implementation Methods in Business IntelligenceProjects from an End-user Perspective
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Abstract The global Business Intelligence (BI) market grew by 10% in 2013 according to the Gartner Report. Today organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad

Application Of Business Intelligence In Agriculture 2020 System to Improve Efficiency And Support Decision Making in Investments
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Abstract Today, India ranks second worldwide in farm output. Agriculture and allied sectors like forestry and fisheries accounted for 13.7% of the GDP (Gross Domestic Product) in 2013, about 50% of the total workforce. The economic contribution of agriculture to India's

Information conservational YinYang bipolar quantum fuzzy cognitive maps�mapping business data to business intelligence
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Abstract:Based on YinYang bipolar fuzzy sets and bipolar quantum linear algebra (BQLA), information conservational bipolar quantum-fuzzy cognitive maps (BQFCMs) are proposed. It is shown that a relational BCM can be normalized to a bipolar quantum-fuzzy logic gate (

Proposal for Design and Application of Business Intelligence as a Decision Support System to the Editorial Sector of Distance Education (DE)
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In recent years, industrial and service organizations have invested in improvement projects with emphasis on increasing the performance of processes regarding to the production of manufactured goods and services, applying techniques to optimize production time in

Factors affecting the Increase and Decrease student achievement in Primary School with Business Intelligence Approach
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Abstract: Although the educational level of the Portuguese population has improved in the last decades, the statistics keep Portugal at Europe's tail end due to its high student failure rates. In particular, lack of success in the core classes of Mathematics and the Portuguese

Business Intelligence and Analytics in Managing Organizational Performance: The Requirement Analysis Model
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Abstract:Today, data has growth tremendously. It has been one of valuable resources to determine success and failure of an organization. The need to manage and analyse the data for organization's performance has increased. Suitable technology identified for this

SURVEY OF BUSINESS INTELLIGENCE SYSTEM
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Abstract:-In trendy business, increasing standards, automation and technologies have LED to ocean amounts of information. But the matter of business method} process has become difficult. Ancient information system has been unable to fulfill the prevailing state of affairs.

Analysis Of Tweets For Popularity Detection Of Television Media In Business Intelligence
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Abstract:In today's world Social media plays a key role in recording our day to day life responses. Twitter-A social platform serves as a rich source of information for the responses of audiences to any Events broadcasted on television media. Here in this case we

PULS: natural language processing for business intelligence
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Abstract The on-going information explosion affects in particular the business domain, in relation to corporate strategy and business decisions. This paper describes work, which addresses the problem of information overload in the business domain. We present the

RABIC: A Reference Architecture for Business Intelligence in the Cloud
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Abstract: Classical Business Intelligence systems are based on common database management systems. The use of such classical, nonpolitical BI systems is not always the best solution. The incorporation of cloud computing technology offers great potential.

Simulation of Knowledge Sharing in Business Intelligence
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ABSTRACT Knowledge sharing is one of the most critical elements in a knowledge based society. With huge concentration on communication facilities, there is a major shift in world- wide access to codified knowledge. Although communication technologies have made

Factors Driving Business Intelligence Culture
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Abstract The field of business intelligence (BI), despite rapid technology advances, continues to feature inadequate levels of adoption. The attention of researchers is shifting towards human factors of BI adoption. The wide set of human factors influencing BI

Business Intelligence as a Service in Analysis of Academic Courses
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Abstract Business intelligence (BI) has become a very reliable means in the decision making process. Business intelligence performs the operations to gather, transform, analyze and present the raw data to aid in the decision making. The implementation of service oriented

Implementing Business Intelligence System-Case Study
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Abstract: Understanding and analysis data is essential for making decision within a system. Any analytical tasks can be implemented directly by the transactional system but it becomes more difficult as the transactional system grows. Analytical systems and their extension

The Goal Questions Metrics for Agile Business Intelligence
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Abstract Business Intelligence (BI) becomes in the front of demanding technologies. The large or midsize companies need a technology to adapt changing requirements, to deal with rich amount of data; to get correct information, analysis data, and finally to quick support

Probabilistic and Fuzzy Logic based Event Processing for Effective Business Intelligence
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Abstract: This paper, focuses on Probabilistic Complex Event Processing (PCEP) in the context of real world event sources of data streams. PCEP executes complex event pattern queries on the continuously streaming probabilistic data with uncertainty. The

The Effects of Business Intelligence on Strategic Management of Enterprises
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Discipline of informatics must contain one of the significant issues that need to develop for especially processing systems of large-scale enterprises. At this point, a well-designed business intelligence (BI) system, which includes a structure of regular business activities

Magic Quadrant for Business Intelligence and Analytics Platforms
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Summary The BI and analytics platform market's multiyear shift from IT-led enterprise reporting to business-led self-service analytics has passed the tipping point. Most new buying is of modern, business-user-centric platforms forcing a new market perspective,

THE ARTIFICIAL INTELLIGENCE AND BUSINESS DECISIONS
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Abstract: The aim of the use of artificial intelligence in business is in the field of optimization minimization the costs and maximization the profit. The mostly used methods of artificial intelligence are fuzzy logic, artificial neural networks and evolutionary algorithms.

CRM for retailers: Business intelligence in retail CRM
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Abstract In the current era it is very important to develop a direct contact with the customers because customers are the definitive determinants and the success of the company depends on customer happiness. So companies are using different techniques to provide

The Effects of Artificial Intelligence and Robotics on Business and Employment: Evidence from a survey on Japanese firms
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Abstract This study presents new evidence on firms' attitudes toward artificial intelligence (AI) and robotics, as well as their attitude toward the impacts of these new technologies on future business and employment prospects. The data used in this paper are the results of

Business Intelligence Tools for Big Data
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Abstract:This study examines various big-data techniques and technologies and giving a comprehensive comparison between various Business Intelligence tools currently in the market. Big data can mean big opportunities for organizations. Storing large amount of

Nifty with Data: Can a Business Intelligence Analysis Sourced from Open Data form a Nifty Assignment
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ABSTRACT This paper describes an assignment investigating the relationship between weather conditions and levels of air pollution. The case study illustrates aspects of finding and accessing Open Data, sections of the Extract-Transform-Load processes of data

Business Intelligence
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Business Intelligence (BI) is an umbrella term which encompasses software and development of information systems and makes it possible to detect the necessary data of any company . Most agree that BI deals with capturing,

Analytics, Business Intelligence, and Data Governance
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Business analytics and data governance remained a key topic at EDUCAUSE 2015. Last year, the analytics theme was dominated by learning analytics, as the recent widespread deployment of MOOCs and learning platforms had introduced new means of tracking

Big Data, Business Intelligence and Tourism: a brief analysis of the literature
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2 Materials and Methods The source for this work is the Scopus database. Although, obviously, not a complete source of academic works, with its more than 20,000 titles from about 5,000 international publishers, it can be well considered one of the most

Business Intelligence/Data Analytics for Online Fashion Store
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ABSTRACT An optimized web application that adheres to the manifold needs of customers of a fashion wear company (provided with a customizable catalogue for wholesale as well as retail customer). Being able to survive in times of highly competitive markets, to learn

USING BUSINESS INTELLIGENCE SYSTEMS FOR ENTERPRISE ARCHITECTURE VISUALIZATION
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ABSTRACT In today's business the optimization of the alignment between Business and IT can be assessed as a critical success factor for enterprises. For this reason the business management of an enterprise and the Enterprise Architecture Management (EAM) of the

USING BUSINESS INTELLIGENCE SYSTEMS FOR ENTERPRISE ARCHITECTURE VISUALIZATION
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ABSTRACT In today's business the optimization of the alignment between Business and IT can be assessed as a critical success factor for enterprises. For this reason the business management of an enterprise and the Enterprise Architecture Management (EAM) of the

Machine to Machine (M2M) Open Data System for Business Intelligence in Products Massive Distribution oriented on Big Data
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Abstract:In this work we present useful Graphical User Interfaces (GUIs) suitable for clustering, classification, and sales predictions of the Grande Distribuzione Organizzata GDO (major multiples/large-scale retail channel, chain store/mass distribution) products.

Business Intelligence in Social Network-Survey
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Abstract: In the recent year data mining research has lead to development of numerous efficient and scalable methods for mining interesting patterns in large database. Data mining is using various progresses in social networks. Social networks are accessible platforms

Experimentation in the Industry for Automation of Unit Testing in a Business Intelligence Environment
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Abstract:This paper presents an approach to automate the selection and execution of previously indentified test cases for loading procedures in Business Intelligence (BI) environments based on Data Warehouse (DW). To verify and validate the approach, a unit

Implementing a Business Intelligence System for Small and Medium-sized Enterprises
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Abstract Over the years, Business Intelligence (BI) systems have become critically important to organizations due to the increasing fast-paced competition, the vast amount of daily generated data and the complexity of how to manage collected data. Business

Acquiring Business Intelligence through Temporal Mining of Smart Meter Data
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Abstract More and more enterprises are switching over to Machine learning applications to improve their analyzing and predicting capabilities of their business. In this paper we propose a new outlook towards utility computing where public services can be view as a

Increase Business Intelligence Based on opinions mining in the Persian Reviews
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Abstract By improving electronic business and managing system of customer s request, a huge load of Textual data has produced direct and indirect by users. Customers of one specific product and even managers need to observe comprehensive and effective

Sharing information using Internal Communication and Business Intelligence: A Healthcare perspective
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ABSTRACT Internal communication is the distribution of information between business units, sometimes different parts of an organisation (Grismely, 2015) to give staff information required to get their job done (Mazzei, 2014). Using internal communication and different

A Business Intelligence Model to support the engineering student life cycle analysis Recruitment
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Abstract. Taking smart decisions during the proper time as well as respond with flexibility to any customer demand, market opportunity or threat, through Business Intelligence (BI), causes that the increase of designing multidimensional solutions become a great solution

A Study on Key Elements of Knowledge Management and Business Intelligence Implementation in Islamic Banking Operation in Malaysia
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Purpose�This paper seeks to identify the manner in which the Knowledge Management (KM) and Business Intelligence (BI) concepts can be the effectively determined. The scope of this paper is to propose a research on the effectiveness and efficiency of Islamic Bank's

The Role of Data Quality in Business Intelligence�An empirical study in German medium-sized and large companies
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Annually companies loose huge amounts of money due to poor data quality [Apel 2010; Xu and Hwang 2008]. Besides profit loss, the companies face trust issues of the data and information users which goes hand in hand with insufficient and decreasing usage of the

Business Intelligence and Strategic Decision Making
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Traditionally, strategic decision making has been performed based on business experience, intuition, and consensus, with possibly some external intelligence, but much of it available too late to be relevant. With the rise of big data in recent decades, coupled with

General Advance Review of Borgelt's Apriori Rule Mining Algorithm Implementation: Business Intelligence and Data Science Perspective
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Measure, information gain, support, and in the end item set selection methods are discussed. All these measures are very important to invent new data mining algorithms and they all have very strong utilization and application in data science and business

ANALYSIS OF KEY SUCCESS FACTORS FOR BUSINESS INTELLIGENCESYSTEMS IMPLEMENTATION
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Abstract-This research study demonstrates analysis of key success factors for business intelligence systems implementation. The analysis is based on the review of a large amount of literature on this subject matter, industrial presentations, and on the processing of data

AN EXAMINATION OF EFFECTS THE BUSINESS INTELLIGENCE ON STRATEGIC DECISIONS
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The term Business Intelligence was revived by Gartner Group in the mid-1990s. However, the term has become very popular recently and is rooted in the 1970 MIS reporting systems. At that time, reporting systems, static, two dimensional analytical capabilities were lacking.

The Impact of Business Intelligence on International Entrepreneurial Orientation and the Capability of International Operation of the SME's
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Abstract-This study explores the business intelligence that may have an impact on human capability of Thai firms through international entrepreneurial orientation, which consists of management vision, innovativeness, and preparation for foreign operation. There are 449

RedBox-A Data Mining Approach for Improving Business Intelligence
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ABSTRACT This main idea behind introducing RedBox concept is to introduce a new Data Mining approach using clustering methodology for extracting knowledge base information or data pattern to improve business intelligence (BI) in a business. BI is a paradigm for

A Proposed Framework to Use Cloud Computing Power in Business Intelligence
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Abstract With the increased need for business intelligence processes in organizations for taking key decisions, providing the resources needed to store and process large amounts of information is increasingly considered. In the near future, with the increasing volume of

DATA MINING APPROACHES IN BUSINESS INTELLIGENCE: POSTGRADUATE DATA ANALYTIC
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Abstract Over recent years, there has been tremendous growth of interest in business intelligence (BI) for higher education. BI analysis solutions are operated to extract useful information from a multi-dimensional datasets. However, higher education-based

Development of a Business Intelligence Portal Framework in a Cloud Computing Environment for Enhanced Distribution and Billing System of Electricity in
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ABSTRACT The evolution of Cloud Computing architecture has produced cost effective, quick and efficient computing platform. The new phenomenon of business intelligence (BI) is transforming the way businesses handle data. BI environments require large capital layout

CRSA Cryptosystem Based Secure Data Mining Model for Business Intelligence Applications
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Abstract:In the present competitive scenario, business intelligence (BI) applications play a very significant role for organizational decision support system (DSS). These BI applications need huge data transactions and information sets along with certain efficient data mining

BUSINESS INTELLIGENCE FOR BUSINESS PROCESSES: THE CASE OF IT INCIDENT MANAGEMENT
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Abstract IT service desks have become an integral part of intra-enterprise ecosystems, keeping IT hardware and software services within the company running. Business Intelligence methods have an enormous potential to support IT helpdesk employees by

Criticality (Kamil I. Bakhtiyarov). 37 The Swarm Computing Approach to Business Intelligence
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Abstract: The current discussion of the intentionality nature has become more sophisticated and complex. In this paper I will delineate a number of approaches to intentionality in contemporary philosophy: 1 mentalistic; 2 semantic/linguistic; 3 pragmatic; 4 somatic; 5

An integrated model for determining business intelligence systems adoption and post-adoption benefits in banking sector
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Abstract. Business Intelligence (BI) Systems have been theorized as providing immerse benefits to organizations that adopt them. These benefits include: improved customer satisfaction improved decision-making process, provision of faster and more accurate

A Business Intelligence Architecture To Monitor And Analyze National Science And Technology Developments
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Abstract:Business intelligence (BI) assist organizations assess their performance through integration of various data resources to measure and analyze performance indicators. On the other hand, science and technology (ST) are considered as one of fundamental

Hadoop-Next Generation of Business Intelligence Systems
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Abstract�The paper deals with the Hadoop software library which provides a framework that enables distributed processing of large data sets using computer clusters and a simple programming model. It enables scaling of applications depending on the available

Data Analysis in Business Intelligence for Mathematical Prediction of Online Sale
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Abstract: Business-intelligence is an effective means of improving the decision making within an organization applied to profit making private companies. The online purchase and trading data available on website can be a key reference to analyze for the decision

Business Intelligence Project Implementation: A Retail Company Case Study in C-and-A
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ABSTRACT Although Business Intelligence is seen as priority by many companies, the level of benefits achieved varies significantly between firms. Researchers have indicated that not having an effective Business Intelligence strategy is a significant issue in regards to trying

On Being Actionable: Mythologies of Business Intelligence and Disconnects in Drill Downs
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ABSTRACT We present results from a case study of the use of business intelligence systems in a human services organization. We characterize four mythologies of business intelligence that informants experience as shared organizational values and are core to their trajectory

Business Intelligence and Analytics: Big Systems for Big Data
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Abstract The amount of data collected by modern industrial, government, and academic organizations has been increasing exponentially and will continue to grow at an accelerating rate for the foreseeable future. At companies across all industries, servers are

Textual Analysis and Business Intelligence in Big Data Environment: Search Engine versus XBRL
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ABSTRACT The main objective of this paper is to discuss the role of search engines in data analytics within XBRL Environment and beyond. It is frequently argued that having XBRL formatted business reports makes it easy to access information and hence analyze it.

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