Strategic Management using Business Intelligence Tools in Mettalurgical Plants
Oana - Antonia Colibasanu
Mettalurgical industry is one of the key industries worldwide, feeling the globalization both as a traditional industry that, by definition doesn’t change in processes, and as a global industry that reacts to knowledge society through developing new managerial systems. Business intelligence refers to in-depth analysis of company data for better decision-making. With an effective BI tool, companies can easily track their own operations, their customers’ activity patterns, and industry trends. The article focuses on the importance of implementing business intelligence techniques in the metallurgical enterprises. The first part of the research is focusing on the main characteristics of the management based on business intelligence technologies. The second part of the article refers to the business intelligence market in Romania and the third analyzes the main ways that the metallurgical plans may introduce these techniques into their daily activities. The conclusions outline the advantages and opportunities that would derive for the metallurgical plants in Romania when implementing business intelligence techniques.
Ke stažení ve formátu PDF: Colibasanu
2012-03-06 06:38:22 |
Autor: oyXtkORnAQhNTots
Titulek: MizAwqsT
In purchasing Next Generation Business Intelligence Software with Silverlight 3 , I was hoipng to gain insight into how Silverlight can be used to create simple, performant, and attractive tools that can be easily consumed by any average user on their desktop. I must admit that while I have been working with business intelligence data for years, I have not had any experience working with Silverlight technology, and was more than skeptical when I read that this book could be just as valuable for BI professionals and strategic decision makers as it is for Silverlight developers. I was however pleasantly surprised to learn that was absolutely the case. There are actually objectives specifically geared towards each of the 3 intended target groups at the beginning of each chapter that help to keep the reader focused on what is most relevant to them. The samples and supplemental website also provide ample supporting information around each of the exercises presented in the text. Overall this book is extremely well written and organized and is a must read for any professional working with Silverlight and/or next generation BI concepts.