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IT Professional

Issue 6 • Date Nov.-Dec. 2013

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Displaying Results 1 - 18 of 18
  • [Front cover]

    Page(s): c1
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    Freely Available from IEEE
  • Table of contents

    Page(s): c2 - 1
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  • [Masthead]

    Page(s): c3
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    Freely Available from IEEE
  • What Is Your Global Innovation Strategy?

    Page(s): 2 - 6
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    Freely Available from IEEE
  • Career Advice

    Page(s): 7 - 9
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    In this difficult job environment, you need to have an edge over your competitors. This department provides several recommendations, along with real-world examples, related to finding a job and advancing your career. View full abstract»

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  • Technology, Unemployment, and Power

    Page(s): 10 - 11
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    Business organizations and people are making predictions and investments based on a recognition that smart machines are starting to make dramatic changes in the world of work and will likely make even more dramatic changes in the near future. Some people see this as an opportunity, while others see it as vulnerability, but many people see it as inevitable. View full abstract»

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  • Data Scientists Aren't Domain Experts

    Page(s): 12 - 17
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    It will take a lot of conversation to make data science work. Data scientists can't do it on their own. Success in data science requires a multiskilled project team with data scientists and domain experts working closely together. View full abstract»

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  • Leveraging Big Data and Business Analytics [Guest editors' introduction]

    Page(s): 18 - 20
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    Freely Available from IEEE
  • Leveraging Big Data Analytics to Reduce Healthcare Costs

    Page(s): 21 - 28
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4823 KB)  

    The healthcare sector deals with large volumes of electronic data related to patient services. This article describes two novel applications that leverage big data to detect fraud, abuse, waste, and errors in health insurance claims, thus reducing recurrent losses and facilitating enhanced patient care. The results indicate that claim anomalies detected using these applications help private health insurance funds recover hidden cost overruns that aren't detectable using transaction processing systems. This article is part of a special issue on leveraging big data and business analytics. View full abstract»

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  • Business Process Analytics Using a Big Data Approach

    Page(s): 29 - 35
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    Continuous improvement of business processes is a challenging task that requires complex and robust supporting systems. Using advanced analytics methods and emerging technologies--such as business intelligence systems, business activity monitoring, predictive analytics, behavioral pattern recognition, and "type simulations"--can help business users continuously improve their processes. However, the high volumes of event data produced by the execution of processes during the business lifetime prevent business users from efficiently accessing timely analytics data. This article presents a technological solution using a big data approach to provide business analysts with visibility on distributed process and business performance. The proposed architecture lets users analyze business performance in highly distributed environments with a short time response. This article is part of a special issue on leveraging big data and business analytics. View full abstract»

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  • XBRL in the Chinese Financial Ecosystem

    Page(s): 36 - 42
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    The eXtensible Business Reporting Language (XBRL) is one of the most popular formats of business reports. It has been adopted by many countries and regions across the world, including China. This article examines XBRL in China and answers the following questions: What is XBRL technology? How has it been implemented in the financial ecosystem of Mainland China? What are the differences between three major Chinese XBRL taxonomies? It also highlights the challenges and opportunities of carrying out XBRL-based business analysis using the growing big data. This article is part of a special issue on leveraging big data and business analytics. View full abstract»

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  • Big Data and Transformational Government

    Page(s): 43 - 48
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    The big data phenomenon is growing throughout private and public sector domains. Profit motives make it urgent for companies in the private sector to learn how to leverage big data. However, in the public sector, government services could also be greatly improved through the use of big data. Here, the authors describe some drivers, barriers, and best practices affecting the use of big data and associated analytics in the government domain. They present a model that illustrates how big data can result in transformational government through increased efficiency and effectiveness in the delivery of services. Their empirical basis for this model uses a case vignette from the US Department of Veterans Affairs, while the theoretical basis is a balanced view of big data that takes into account the continuous growth and use of such data. This article is part of a special issue on big data and business analytics. View full abstract»

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  • Countdown to Y2Gray

    Page(s): 49 - 55
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    A large number of IT employees will soon be leaving the workforce due to retirement, which presents a serious problem for many IT departments. This problem is of greater concern in organizations and industries with complex business practices, legacy systems, or greater proportions of older workers. These organizations are vulnerable to a phenomenon called Y2Gray. This article explores Y2Gray by explaining the problem, identifying organizations at risk, and presenting recommendations to address this problem. The authors share their findings from interviews with two firms that are coping with Y2Gray. View full abstract»

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  • Understanding Social Computing Research

    Page(s): 56 - 62
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    Social computing is an emerging field, encompassing a wide range of topics. A broad understanding of the major topics involved in social computing is important for both scholars and practitioners. The authors present and analyze the voluminous social computing related studies to date, applying document co-citation analysis, pathfinder networks, core-document analysis, and the Herfindahl-Hirschman index. The results not only provide insight to this subject area but also afford a conduit for the future research in this discipline. View full abstract»

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  • 2014 Editorial Calendar

    Page(s): 63
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    Freely Available from IEEE
  • Cloud Computing in Sub-Saharan Africa

    Page(s): 64 - 67
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    Cloud-related innovations and services are becoming fundamental sources of economic and societal changes in Sub-Saharan African economies, which are embracing cloud computing. This analysis of the cloud market examines both driving and constraining factors in these economies. View full abstract»

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  • Office Etiquette During the Holidays

    Page(s): 68 - 69
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  • Vendor Management

    Page(s): 72
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    This article briefly outlines the four significant stages of a vendor management program (strategic fit, selection and contract, execution, and renewal), along with useful components and recommended actions for each stage. In addition to tactical steps, critical strategic theory and best practices are outlined. Organizations can use this article for assessing the state of their existing vendor program, as well as incremental steps for overall program improvement. View full abstract»

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Aims & Scope

IT Professional is a bimonthly publication of the IEEE Computer Society for the developers and managers of enterprise information systems.

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Meet Our Editors

Editor-in-Chief
San Murugesan
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