دانلود مقاله چارچوب حاکمیت هوش تجاری
ترجمه نشده

دانلود مقاله چارچوب حاکمیت هوش تجاری

عنوان فارسی مقاله: چارچوب حاکمیت هوش تجاری در یک دانشگاه: مطالعه موردی Universidad de la costa
عنوان انگلیسی مقاله: Business intelligence governance framework in a university: Universidad de la costa case study
مجله/کنفرانس: مجله بین المللی مدیریت اطلاعات – International Journal of Information Management
رشته های تحصیلی مرتبط: مدیریت
گرایش های تحصیلی مرتبط: مدیریت کسب و کار
کلمات کلیدی فارسی: هوش تجاری، حاکمیت، دانشگاه، تجزیه و تحلیل، تصمیم گیری
کلمات کلیدی انگلیسی: Business intelligence، Governance، University، Analytics، Decision making
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.ijinfomgt.2018.11.012
دانشگاه: Department of Computer Science and Electronics, Universidad de la Costa CUC, Barranquilla, Colombia
صفحات مقاله انگلیسی: 8
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2020
ایمپکت فاکتور: 7.338 در سال 2018
شاخص H_index: 91 در سال 2019
شاخص SJR: 1.711 در سال 2018
شناسه ISSN: 0268-4012
شاخص Quartile (چارک): Q1 در سال 2018
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14101
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

۱٫ Introduction

۲٫ Theoretical foundation

۳٫ BI governance

۴٫ Maturity model BI

۵٫ Method

۶٫ Results and analysis

۷٫ Conclusions

References

بخشی از مقاله (انگلیسی)

Abstract

Universities and companies have decision-making processes that allow to achieve institutional objectives. Currently, data analysis has an important role in generating knowledge, obtaining important patterns and predictions for formulating strategies. This article presents the design of a business intelligence governance framework for the Universidad de la Costa, easily replicable in other institutions. For this purpose, a diagnosis was made to identify the level of maturity in analytics. From this baseline, a model was designed to strengthen organizational culture, infrastructure, data management, data analysis and governance. The proposal contemplates the definition of a governance framework, guiding principles, strategies, policies, processes, decisionmaking body and roles. Therefore, the framework is designed to implement effective controls that ensure the success of business intelligence projects, achieving an alignment of the objectives of the development plan with the analytical vision of the institution.

Introduction

The implementation of information technologies (IT) in senior management is a strategy that is gaining strength when it comes to analyzing data and making decisions (Cody, Kreulen, Krishna, & Spangler, 2002). The companies have opted for the use of computer tools in the search for options for process management, hand in hand with Business Intelligence (BI) (Paschek, Luminosu, & Draghici, 2017). Creating a new research scenario, faced with the need to ensure an IT government focused on BI, in order to generate coordinated actions based on the exploitation of data that is collected on a daily basis for the creation of corporate strategies. The Universidad de la Costa has implemented several business intelligence projects, but some of them did not obtain the expected results; and that is why, rectory has been leading a process of closing technological gaps to generate advantages of the solutions provided by IT solutions. Currently, the university has several software packages to perform predictive statistical analysis, which provides an opportunity for the execution of data mining projects. However, their implementation has reports that sometimes do not meet the expectations of the business. In addition, the development of new indicators and reports demand hiring and additional processes. For this reason, this study presents the application of BI in a university governance framework, using as a case study the Universidad de la Costa, for the diagnosis of BI management in this type of business and establish the design of the proposal of model in business intelligence for decision making.