Conferences related to Business Intelligence

Back to Top

2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.


2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)

The ICIN conference, established in 1989 and praised for the richness of its social networking, is also recognized for its continuous adaptation to emerging technical trends.2019 will be the year of first large-scale 5G trials world-wide, targeting early network introduction, preliminary experimentation of network intelligence and orchestration solutions, and moving towards commercial large scale introduction in the 2020 horizon.At ICIN 2019, the driving theme is “Network AI and Zero-Touch Communication Systems”: we focus on the challenges related to the integration of analytics and orchestration solutions, enablers and methods, into automatic and autonomic service delivery and network management and operations. The conference will foster presentation of novel approaches and technical solutions, as well as experimental validation and proof of concepts.

  • 2018 21st Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)

    ICIN 2018 will be held 20-22 February 2018 at Orange Gardens premises near Paris, France. The ICIN conference, established in 1989 and praised for the richness of its social networking, is also recognized for its continuous adaptation to emerging technical trends.2018 will be the year of coordinated 5G deployment across all EU Member states, targeting early network introduction, and moving towards commercial large scale introduction by the end of 2020 at the latest.As the main theme for ICIN 2018, “5G Network Architecture and Solutions: are we ready?” will explore the maturity and gaps remaining for end-to-end and large scale 5G technologies deployment. The conference will foster presentation of novel approaches and technical solutions, as well as experimental validation and proof of concepts. In addition to this edition theme, ICIN 2018 will keep a wide range of topics of interest within the fields of Cloud, Internet, and Networks.

  • 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN)

    Since 1989 the ICIN series of conferences has been bringing together leading telecom and internet experts from industry, universities and government worldwide. ICIN operates on a rigorous peer review process and has become the established industry forum for addressing intelligence in Information and Communications Technology (ICT). ICIN conferences are renowned for their debates on the impact of emerging technology, architecture and industry trends on intelligent communications services. ICIN has an enviable track record of identifying key technology and service trends – and analysing their impact on business models – before they become widely recognized.

  • 2015 18th International Conference on Intelligence in Next Generation Networks (ICIN)

    Since 1989 the ICIN conferences have been bringing together leading internet and telecom experts from industry, universities and government worldwide. Major service providers and manufacturers from the most active markets worldwide have consistently contributed and provided insight on the technical and strategic directions that the industry is taking. ICIN operates on a rigorous peer review process and has an enviable track record of identifying key technology and service trends

  • 2013 17th International Conference on Intelligence in Next Generation Networks (ICIN): Unlocking Value from the Networks

    The primary focus of ICIN 2013 is twofold, addressing both how to make networks smarter with a stream on the transformation of Telcos

  • 2012 16th International Conference on Intelligence in Next Generation Networks (ICIN): Realising the Power of the Network

    ICIN addresses challenges of design, deployment, delivery, and management of services and applications over different platforms and diverse networks from both technical and business perspectives. The primary focus of ICIN 2012 is voice, data or multimedia services for enterprises or consumers that make use of capabilities in the operator network.

  • 2011 15th International Conference on Intelligence in Next Generation Networks (ICIN): "From Bits to Data, from Pipes to Clouds"

    Software-driven, context-aware services delivered and composed in the cloud and on smart devices will continue to transform the user experience and the ICT industry landscape. ICIN 2011 will bring together technical and business innovators to share their insight and experience of the technology, service and business transformation ahead.

  • 2010 14th International Conference on Intelligence in Next Generation Networks (ICIN): "Weaving Applications Into the Network Fabric"

    ICIN is a forum covering telecoms and web services and service architectures from both technical and business perspectives. ICIN 2010 will focus on new applications formed by weaving together emerging network capabilities, computational power, network and customer data, and content in valuable new and different patterns.

  • 2009 13th International Conference on Intelligence in Next Generation Networks (ICIN): "Beyond the Bit Pipes"

    ICIN 2009 will highlight the future services, enablers and architectures that will drive the market for communications products and services in the emerging high speed IP environment. The focus of ICIN 2009 will be on new and emerging business models, technology and value chains based on communications networks and devices.


2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)

ICSE is the premier forum for researchers to present and discuss the most recent innovations,trends, outcomes, experiences, and challenges in the field of software engineering. The scopeis broad and includes all original and unpublished results of empirical, conceptual, experimental,and theoretical software engineering research.


2019 International Conference on Computer and Information Sciences (ICCIS)

ICCIS will provide a forum for researchers, scientists and engineers to exchange and share their experiences, and research results about all aspects of computer and information science.

  • 2012 International Conference on Computer & Information Science (ICCIS)

    The primary goal of the conference is to promote research and development activities in Computer Science, Information Technology and Information Sciences. The secondary goal is to promote the exchange of scientific information between researchers, developers, engineers, students, and practitioners from around the world.


2019 Winter Simulation Conference (WSC)

WSC is the premier international forum for disseminating recent advances in the field of system simulation. In addition to a technical program of unsurpassed scope and quality, WSC provides the central meeting for practitioners, researchers, and vendors.


More Conferences

Periodicals related to Business Intelligence

Back to Top

Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


More Periodicals

Most published Xplore authors for Business Intelligence

Back to Top

Xplore Articles related to Business Intelligence

Back to Top

Unified Business Intelligence Ecosystem: A Project Management Approach to Address Business Intelligence Challenges

2018 Portland International Conference on Management of Engineering and Technology (PICMET), 2018

The purpose of this paper is to explore a concept that improves the success rate of Business Intelligence projects by looking at it as an ecosystem rather than standalone project. This paper discusses the importance on Business Intelligence (BI) initiatives and today's challenges in implementing them. The concentration is on using proven practices of project management to reduce the failure ...


Business Intelligence Design of Rural Bank Performance Assessment Using Financial Ratio Analysis

2018 International Conference on Information Management and Technology (ICIMTech), 2018

There are more than 1600 rural banks (BPR) registered in the OJK. But not all of them are a healthy company that has a good financial condition. One of the methods to assess bank's financial performance is by using financial ratio analysis. To analyze all BPR financial condition using financial ratio analysis will require so many time and effort. That's ...


Integration: Knowledge Management and Business Intelligence

2011 Fourth International Conference on Business Intelligence and Financial Engineering, 2011

As business competition intensifies and the market environment becomes increasingly complex, more and more enterprises learn to make use of Knowledge Management (KM) and Business Intelligence (BI) in order to improve corporate decision-making capacity and efficiency. However, there is still not a unified view for the concept of KM and BI and the relationship between the two in academia and ...


A Systematic Information Collection Method for Business Intelligence

2009 International Conference on Electronic Commerce and Business Intelligence, 2009

Business intelligence (BI) has been becoming an important factor of the enterprise's core competence, especially in times of an economic downturn. The purpose of BI is get proper knowledge to make wise decisions on data and information; but most BI is partial or local, which lack of systematic information collection and processing. On the other hand, collect more information can ...


Fuzzy Min-Max Neural Networks for Business Intelligence

2013 International Symposium on Computational and Business Intelligence, 2013

In this paper the supervised application of fuzzy min-max neural networks to business intelligence is discussed. It utilizes fuzzy sets as pattern classes and builds a fuzzy hyper box for each class in a single pass of the test data. The fuzzy set hyper box is defined by its min point and max point membership functions which are determined by ...


More Xplore Articles

Educational Resources on Business Intelligence

Back to Top

IEEE.tv Videos

Ginger Wierzbanowski - IEEE Smart Tech Workshop Closing Keynote
Artificial Intelligence and Life in 2030
IROS TV 2019- Industry 4.0: The Business of Robotics- Industrial CEO Summit Forum
WIE ILC 2015: Following Your Career North Star a Keynote with VMWare's Yanbing Li
Part 1: Derek Footer and Miku Jah - Agricultural Food Systems Panel - TTM 2018
Engendering Gender Competence - 2016 IEEE Photonics Conference
EDOC 2010 - Dr. Benjamin Grosof Keynote
Challenging the stigma surrounding the role of women in technology, a journey from combinatorial optimization to IBM
Industrial IoT Applications that Benefit from a Fog Approach - Sastry Malladi, Fog World Congress 2017
The Social and Personal Impacts of AI: IEEE TechEthics Panel
Cyber Security: Why It’s Everyone’s Business - Panel at IEEE WIE Forum USA East 2017
Shaping the Future Workforce: Transformative Impacts of Emerging Technologies | IEEE TechEthics Public Forum
Computational Intelligence for Brain Computer Interface
EDOC 2010 - Dragan Gasevic Keynote
Using Computational Intelligence to automate Craniofacial Superimposition for Skeleton-based Human Identification
Applications of Computational Intelligence in Biomedicine
An Introduction to Computational Intelligence in Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff
Walter J Freeman and Robert Kozma - Physical Basis of Intelligence
Achieving Swarm Intelligence with Spiking Neural Oscillators - IEEE Rebooting Computing 2017
Interaction and Experience in Enactive Intelligence and Humanoid Robotics

IEEE-USA E-Books

  • Unified Business Intelligence Ecosystem: A Project Management Approach to Address Business Intelligence Challenges

    The purpose of this paper is to explore a concept that improves the success rate of Business Intelligence projects by looking at it as an ecosystem rather than standalone project. This paper discusses the importance on Business Intelligence (BI) initiatives and today's challenges in implementing them. The concentration is on using proven practices of project management to reduce the failure rates of the Business Intelligence projects by evaluating currently existing Information Technology (IT) project process, Business Intelligence frameworks and a Project Vulnerability process in order to adopt some of the best project management practices that works for Business Intelligence projects. The paper studies currently existing processes and introduces a new concept which henceforth will be termed as `Unified Business Intelligence Ecosystem' framework (UBIE). This research is based on various project management frameworks, those are proven to increase the efficiency of projects, and far-ranging sources of research on nature of Business Intelligence projects, personal observations and real-world Business Intelligence consulting experience. Research limitations/implications: Business Intelligence is a constantly developing field. Partial standardization and extensive availability and access to Business Intelligence resources has created many definitions and buzz words in the industry. The assumptions described in this research might seem arguable given the reader's experience in this field. Originality/value: The paper presents a different perspective to view and manage Business Intelligence projects. It encourages to interpret Business Intelligence projects as an ecosystem by combining technical, business and management aspect rather than separate, standalone entity. The aim of this research paper is to achieve Business Intelligence success by customizing Project Management (PM) practices to fit the unique need of Business Intelligence projects. Acronyms Business Intelligence - BI Project Management - PM Data Science - DS Information technology - IT Unified Business Intelligence Ecosystem - UBIE Responsibility, Accountability, Consulted, Informed - RACI.

  • Business Intelligence Design of Rural Bank Performance Assessment Using Financial Ratio Analysis

    There are more than 1600 rural banks (BPR) registered in the OJK. But not all of them are a healthy company that has a good financial condition. One of the methods to assess bank's financial performance is by using financial ratio analysis. To analyze all BPR financial condition using financial ratio analysis will require so many time and effort. That's why Business Intelligence is needed to provide a fast and reliable information for top management in Bank Andara to help them make decisions regarding their potential customer's financial condition. This paper will result in a design of a business intelligence application that will adhere to required financial ratios needed by management user to analyze BPR's financial condition and resulting in a comprehensive and interactive dashboard that will help them to make decisions.

  • Integration: Knowledge Management and Business Intelligence

    As business competition intensifies and the market environment becomes increasingly complex, more and more enterprises learn to make use of Knowledge Management (KM) and Business Intelligence (BI) in order to improve corporate decision-making capacity and efficiency. However, there is still not a unified view for the concept of KM and BI and the relationship between the two in academia and the business world, which may bring about confusion and errors in theory study and application. this paper is trying to provide a thorough analysis of the differences between BI and KM and to establish a framework for relating one field to the other. And it comes to a conclusion that in business management and decision-making process, both BI and KM must be effectively integrated to give full play to their complementary functions.

  • A Systematic Information Collection Method for Business Intelligence

    Business intelligence (BI) has been becoming an important factor of the enterprise's core competence, especially in times of an economic downturn. The purpose of BI is get proper knowledge to make wise decisions on data and information; but most BI is partial or local, which lack of systematic information collection and processing. On the other hand, collect more information can lead to information and knowledge overload which make BI more and more difficult. A structured information collection method is designed based on extenics theory; it can collect proper data or information according to a information list cube integrating Web search technology and extenics, then process the information by data mining and extension transformation. Finally we store them in the element base which helps to get more solutions by intelligent knowledge management platform. It will accelerate the development of BI from a new direction.

  • Fuzzy Min-Max Neural Networks for Business Intelligence

    In this paper the supervised application of fuzzy min-max neural networks to business intelligence is discussed. It utilizes fuzzy sets as pattern classes and builds a fuzzy hyper box for each class in a single pass of the test data. The fuzzy set hyper box is defined by its min point and max point membership functions which are determined by an expansion-contraction process. The best hyper box conforming to the highest memberships is used for the classification of the test data to a particular class.

  • Development of Mobile Business Intelligence framework for small and medium enterprises in developing countries: Case study of South Africa and Nigeria

    Information supports the smooth operations and vital decision-making endeavours facilitating smooth and seamless business process execution within an enterprise. As a result of increasing mobility and automation of activities within enterprises, huge amounts of data are rapidly generated than they could be instantaneously utilized in heterogeneous, intra or inter-organisational business processes. Developing countries' Small and Medium Enterprises (SMEs) are faced with challenges of accessing intelligent information for decision making at different operational sites. SMEs in developing countries are paying a huge business opportunity cost by not utilizing Mobile Business Intelligence (MBI) systems. This is as a result of lack of MBI framework to inform the deployment of MBI solutions in developing countries' SMEs. This study therefore is envisioned to design a framework for the deployment of MBI in developing countries' SMEs. So as to achieve this, the study adopted various scientific approaches (Textual Analysis, Principal Component Analysis, and Structural Equation Modelling) systematically. This study is expected to contribute towards the literature and the methods in establishing and determining the factors needed for the development of frameworks in Information Systems studies. Practically, the study is expected aid deployment of MBI for SMEs in developing countries' contexts.

  • Application of Business Intelligence: A Case on Payroll Management

    Business intelligence (BI) approaches have fallen short in delivering the expected value and return on investment. High costs, lengthy implementations and increasing complexity have led to frustration and disappointment for many enterprises. However, a new generation of BI tools is emerging. Data discovery tools promise to overcome many of the advantages of BI tools, delivering more flexibility, ease of use and productivity at a fraction of the cost and time. In this paper, it discusses the usage of BI tool as Dashboard. It discusses the BI application in an enterprise. The implementation of HR Payroll Management as BI Tool. The enterprises optimized their BI performance through data discovery for effectively pursuing and implementing a data discovery approach to BI.

  • Business Intelligence and Learning Analytics as Contributors to a Data Driven Education Industry

    In the fast pace of technological evolution, organizations need to become technology and data driven in order to be able to remain competitive in the future. The data is the core of this era, so they must be manipulated and utilized effectively in order to achieve the efficient use of technological tools and meet the desire goals. This change has affect education industry as well. The education institutions following this new reality must know what data they have and how they can use them. Their main source of the data is derived from students' learning experience; whether the student is participating in a face to face course or in an online course. Learning analytics is a concept of business intelligence that analyzes students learning data and present them in a meaningful manner. This research aims to study how learning analytics can be used as a part of a business intelligence system to support education institutions on how to understand the students and their study habits, and set a basic step on the paradigm of using the right data to get information, make decisions, and support the services that they offer.

  • Service-Oriented Business Intelligence (SoBI) for Academic and Financial Data Integration in University

    Previously, data integration in Business Intelligence (BI) is done by ETL process (Extract, Transform, and Loading). Service-oriented Business Intelligence (SoBI) offers data integration process in a simpler way when compared to the ETL process in BI. In this study, the SoBI will be implemented to integrate academic and financial data at Satya Wacana Christian University (SWCU) into Data Warehouse. The Data Warehouse was developed with Galaxy scheme and implemented with SQL Server 2012. The results of the study show that to apply SoBI, dashboard application must be made that serves to manage data integration process. Data integration on SoBi is done with the help of Web Service by building Service Provider at location of data source and Service Requestor on dashboard application. The Service Provider can be called by the dashboard application to perform the data retrieval process from the data source and transfer data into the Data Warehouse, so that the ETL process is done entirely by the Web Service. In addition, the dashboard application also serves to synchronize data from data sources through Web Service so that the data to be integrated is also more consistent.

  • Business Intelligence For a Digital Music Content Provider

    As an online digital music content provider, company PT ABC has a portal that contains songs that can be streamed by customers. The music director has been using global trend, i.e. radio top music charts to produce favorite song list. This study will utilize data warehouse and business intelligence for PT ABC's marketing and sales strategy, e.g. to improve its service to customers, to increase number of active users and the duration of streaming per user. OLTP data suggested for the data warehouse is the existing streaming transactions, which will be used to analyze customers' most preferred songs. The proposed method to design the data warehouse is using 9-steps from Kimball. The selected process for the data warehouse is customers' streaming and downloading process, with dimensions of location, time and song, with fact less table of the streaming itself. The result of analysis will be customers' most preferred play list based on several parameters, such as customers' locations, streaming hours or days and genre of songs.



Standards related to Business Intelligence

Back to Top

No standards are currently tagged "Business Intelligence"