2 resultados para Data mining, Business intelligence, Previsioni di mercato
Resumo:
Key Performance Indicators (KPIs) and their predictions are widely used by the enterprises for informed decision making. Nevertheless , a very important factor, which is generally overlooked, is that the top level strategic KPIs are actually driven by the operational level business processes. These two domains are, however, mostly segregated and analysed in silos with different Business Intelligence solutions. In this paper, we are proposing an approach for advanced Business Simulations, which converges the two domains by utilising process execution & business data, and concepts from Business Dynamics (BD) and Business Ontologies, to promote better system understanding and detailed KPI predictions. Our approach incorporates the automated creation of Causal Loop Diagrams, thus empowering the analyst to critically examine the complex dependencies hidden in the massive amounts of available enterprise data. We have further evaluated our proposed approach in the context of a retail use-case that involved verification of the automatically generated causal models by a domain expert.
Resumo:
This article presents the response of the Centre for Copyright and New Business Models in the Creative Economy (CREATe) to the consultation on reform of the EU copyright regime. Reviews the format of the consultation, notes the common problems in reporting data in such a format, and reproduces the consultation questions to which CREATe responded, together with a summary of its conclusions on topics including: (1) terms of copyright protection; (2) libraries and archives; (3) persons with disabilities; (4) remuneration of authors; (5) user-generated content; (6) respect for rights; and (7) data mining.