مقاله انگلیسی رایگان در مورد روند های پذیرش هوش تجاری و بلوغ – IEEE 2017

IEEE

 

مشخصات مقاله
انتشار مقاله سال ۲۰۱۷
تعداد صفحات مقاله انگلیسی ۶ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
منتشر شده در نشریه IEEE
نوع مقاله ISI
عنوان انگلیسی مقاله The trend of business intelligence adoption and maturity
ترجمه عنوان مقاله روند های پذیرش هوش تجاری و بلوغ
فرمت مقاله انگلیسی  PDF
رشته های مرتبط مدیریت
گرایش های مرتبط مدیریت کسب و کار، مدیریت دانش
مجله International Islamic University Malaysia – Malaysia
دانشگاه کنفرانس بین المللی علوم و مهندسی کامپیوتر – International Conference on Computer Science and Engineering
کلمات کلیدی پردازش داده ها؛ قبول هوش تجاری؛ بلوغ هوش تجاری؛ داده کاوی؛ موفقیت هوش تجاری
کلمات کلیدی انگلیسی Data Processing; BI Adoption; BI Maturity; Data Mining; BI Success
کد محصول E7655
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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I. INTRODUCTION

Today’s enterprises require to experience the challenge of responding to turbulent market change, meeting the escalating customer requirements and providing the quality product within a short product lifecycle [1] In recent years, market enthusiasm toward business intelligence (BI) is overwhelming [2, 3] According to [3], BI spending rose 16 percent in 2012 to hit $12.9 billion. Meanwhile, a CIO survey of 251 IT leaders revealed that more than 56 percent of organizations are considering expanding their usage of BI [4]. However, the question is raised that big companies are going ahead while the Small-medium-company are left behind and they are incapable of keeping pace with their big jaunt. This is the reality or fact that most of the companies know the benefits of using BI technologies which are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability. Nevertheless, BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmark-ing, text mining, predictive analytics and prescriptive analytics. BI with an organizational implementation of specific philosophy and methodology referred as working with information and knowledge, easy communication and technology, holistic knowledge sharing along with the effective analytic approach to business processes in organizations should be predominately associated by Decision makers as well as today’s organizations. Reviewing the existing literature on BI critically will provide a solid theoretical foundation as well as justification to the body of knowledge [5].

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