کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4942475 | 1437286 | 2017 | 31 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Specification and derivation of key performance indicators for business analytics: A semantic approach
ترجمه فارسی عنوان
مشخصات و مشتق شاخص های عملکرد کلیدی برای تجزیه و تحلیل کسب و کار: رویکرد معنایی
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کلمات کلیدی
هوش تجاری، مدل های انبار داده های مفهومی، شاخص های اصلی عملکرد، مدل های استراتژیک، تجزیه و تحلیل کسب و کار،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Key Performance Indicators (KPI) measure the performance of an enterprise relative to its objectives thereby enabling corrective action where there are deviations. In current practice, KPIs are manually integrated within dashboards and scorecards used by decision makers. This practice entails various shortcomings. First, KPIs are not related to their business objectives and strategy. Consequently, decision makers often obtain a scattered view of the business status and business concerns. Second, while KPIs are defined by decision makers, their implementation is performed by IT specialists. This often results in discrepancies that are difficult to identify. In this paper, we propose an approach that provides decision makers with an integrated view of strategic business objectives and conceptual data warehouse KPIs. The main benefit of our proposal is that it links strategic business models to the data for monitoring and assessing them. In our proposal, KPIs are defined using a modeling language where decision makers specify KPIs using business terminology, but can also perform quick modifications and even navigate data while maintaining a strategic view. This enables monitoring and what-if analysis, thereby helping analysts to compare expectations with reported results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data & Knowledge Engineering - Volume 108, March 2017, Pages 30-49
Journal: Data & Knowledge Engineering - Volume 108, March 2017, Pages 30-49
نویسندگان
Alejandro Maté, Juan Trujillo, John Mylopoulos,