Business Intelligence For Educational Purpose

2014 ◽  
Vol 1 (1) ◽  
pp. 333-338
Author(s):  
Logica Banica ◽  
Liviu Cristian Stefan ◽  
Mariana Jurian

AbstractThe paper follows three main directions: business intelligence – as a software tool, companies – as an application field and top management – as target of intelligent efforts. From this symbiosis does result an advantage, scientific and data based educational tool, having the goal to give the students a tool to explore data collections and analysis methods in order to improve the management of a company and forecast its evolution. The purpose of Business Intelligence (BI) software is to help the firms on acquiring knowledge about highlights and dangerous trends, to observe the connections and to forecast the future market evolutions. From this perspective, we consider that students need to learn theory and practical application about BI. After an overview of the BI main concepts, we choose to use the facilities of Jaspersoft BI software; to model the most frequently used analysis requirements, displaying the most relevant data and key indicators, following the steps of a BI system.

2012 ◽  
Vol 3 (3) ◽  
pp. 413-418
Author(s):  
Logica Banica ◽  
Daniela Pirvu ◽  
Cristian Stefan

The focus area of this paper is twofold: covering the theoretical background about cloud-based Business Intelligence, and the practical approach using the Jaspersoft environment. Also, by choosing the main application area, we emphasized the advantage of using such instruments as an educational tool, with the goal of giving the students an opportunity to discover data collections and explore analysis methods. After an overview of the Business Intelligence and Cloud Computing main concepts, we have pointed out the benefits of using BI in the Software as a Service (SaaS) philosophy, and we used the facilities of Jaspersoft BI software to model frequently used analysis requirements on several virtual firms


2010 ◽  
Vol 14 (4) ◽  
pp. 32-40 ◽  
Author(s):  
Carlos Rodriguez ◽  
Florian Daniel ◽  
Fabio Casati ◽  
Cinzia Cappiello

2006 ◽  
Vol 128 (02) ◽  
pp. 25-26
Author(s):  
Eugene Kania

This article discusses key aspects of resource management for the successful completion of a project. The article highlights that decision-making is the difficult, but necessary, last step to arrive at a portfolio of projects that do not overload resources and clog the engineering pipeline. The four-step resource management process that a company has implemented helps management visualize and understand the effects of their project decisions. It also helps engineering managers identify resource shortages. The key to implementing this system is to build solid communication processes, get key organizational participation, and have the discipline to keep at it every month. The article also suggests that if a company is to use a software tool to facilitate and enable the process, keep it as simple and effective as the process itself.


2011 ◽  
pp. 1793-1806
Author(s):  
Donald Marchand ◽  
Amy Hykes

Strategic intelligence is about having the right information in the hands of the right people at the right time so that those people are able to make informed business decisions about the future of the business. Thus, in order to improve a company’s strategic intelligence process, management must take a critical look at how effectively they manage information. Effective information management requires specific information-processing practices, employee behaviors and values, and technology. The information orientation (IO) framework is a tool that managers can use to determine the company’s level of effective information management and to identify areas where they can make improvements. By achieving IO maturity—aligning processes, people behaviors, and technology practices with business strategies—a company can derive a competitive advantage and future leadership. IO mature companies are most successful at collecting and openly sharing the strategic intelligence that their employees need in order to successfully monitor and proactively react to future market trends or events.


Author(s):  
Gonçalo Sousa ◽  
José Carlos Sá ◽  
Gilberto Santos ◽  
Francisco J. G. Silva ◽  
Luís Pinto Ferreira

The main objective of the study is to minimize interdepartmental communication, potentiation of fast and efficient decision making, and computerization of data. Using software such as MS Excel® and MS Power BI®, a Power BI® tool was conceived to be capable of incorporating, for the entire company, the dashboards that collect the main KPIs of each department. After the tool was implemented, the company's paradigm shift was noticeable. Quickly, the weekly meeting of the planning team began to take place using the MS Power BI® dashboard. In this way, processes were automated and the important data for the normal functioning of the company became accessible to all departments, thus minimizing interdepartmental communication. The chapter shows an Obeya Digital that was implemented in a company in which all the performance indicators of each department are incorporated. In this way, information becomes accessible to all employees and manual data update processes are minimized.


2016 ◽  
Vol 57 (1) ◽  
pp. 24-29 ◽  
Author(s):  
Torsten Czenskowsky ◽  
Sina Kettenring
Keyword(s):  

In der Logistik ist die Zeit ein wesentlicher Wettbewerbsfaktor. Je schneller die Ware beim Kunden ankommt, desto besser! Amazon differenziert heutzutage sogar nach dem Faktor Zeit. Beim Angebot „Prime“ soll der Kunde die besonders zügige Zustellung allerdings auch teurer bezahlen. Informationen nicht nur über die Zeit, sondern auch über Kosten, Kapazitäten, Ressourcen etc. werden in den meisten Unternehmen aus Kennzahlensystemen gewonnen. Sie sind bis heute aktuell und werden gerne im Zusammenhang mit dem Controlling verwendet, um eine zielorientierte Planung und Steuerung zu realisieren. Mit Hilfe von Kennziffern lassen sich messbare Ziele formulieren, diese lassen sich für Planungszwecke schriftlich festhalten und können durch Erfassung bzw. Berechnung von Istwerten den Planwerten gegenübergestellt werden. Damit sind Kennzahlen im Controlling zur Unternehmenssteuerung von entscheidender Bedeutung. Der Artikel gibt einen Überblick über neue Ansätze von Kennzahlen in der Logistik. Dazu gehören auch Umweltkennzahlen, die zunächst alle wichtigen Umweltaspekte der Logistik ermitteln sollen. Die bisherigen Vorschläge für Logistikkennzahlensysteme sind eher für eine Logistik aus Verladersicht und hier insbesondere für Industrieunternehmen gemacht worden. Grundsätzlich gibt es noch Entwicklungsmöglichkeiten bei spezifischen Kennzahlensystemen für den Handel und für Unternehmen, die im Auftrag der Industrie und des Handels für diese logistisch tätig werden, d.h. für Spediteure und Logistikdienstleister. Key indicators are an important instrument in planning and controlling a company. Nowadays, the focus is not only on conventional key indicators. In the field of logistics, their importance has been recognized as well. Systems of logistic indicators that have been used so far need an adjustment to current aspects due to the steady development of environments in all areas. By an extension of the available systems of indicators to temporal and ecological key indicators one can react to contemporary conditions. This article describes systems of logistic indicators in general and especially possible aspects to expand these systems. Keywords: zeitliche und ökologische aspekte, kapazitätsauslastungsgrad, empirische situation, distribution


Author(s):  
Phil Crosby

Success in project management, and particularly in large, high-technology/IT projects, is not easily achieved. This paper draws together a significant number of case studies and research efforts relating to the success and failure of projects from the last four decades, in what is believed to be the only modern meta-study of its type. The author posits that there is a body of knowledge within the literature from which a number of key indicators or focus areas can be derived for practical application especially in the early stages of projects. Studies encompassing more than 2,800 projects are examined, and the success factors for general, and high-technology, projects are newly grouped and ranked as strategic success drivers for use prescriptively by project practitioners and approvers. New correlations between success indicators are presented and the principal drivers examined in further detail to reveal sometimes less obvious characteristics influencing project success. In a series of fieldwork interviews with key staff in high-technology projects, these drivers also emerge consistently as important factors in project success.


2014 ◽  
Vol 143 ◽  
pp. 180-184
Author(s):  
Jaroslava Kádárová ◽  
Lenka Kalafusová ◽  
Michaela Durkáčová

2014 ◽  
Vol 656 ◽  
pp. 561-568
Author(s):  
Costel Ceocea ◽  
Luminita Bibire ◽  
Adrian Stelian Ghenadi

One of the major functions of management, it is the foresight and management of action, in terms of knowledge of risks. In practical decision problems, the decision maker-the manager, is forced to make decisions in conditions of approximate partial knowledge of data necessary to determine the exact consequences of the decision. After the decision is taken, some uncertainty (uncertainty) remains, regarding achieve expected results.The practical application, carried out in S.C. "Mecanica Ceahlău" S.A, aims to demonstrate the complexity of risks categories faced by an organization operating in the manufacturing sector. The paper also illustrates how you can apply different methods to identify and analyze the risks, providing decision makers a comprehensive study and useful for maximizing the value of the organization.


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