Quantitative Analyse für Entscheidungsträger 7. Auflage

Quantitative Analysis for Decision Makers, Mik Wisniewski og Farhad Shafti, år 2020, 7. udgave Meget fin stand, næsten som ny – har ca. 45 sider med enkelte gule highlight-overstregninger, men ellers er alle siderne rene og pæne uden noter, understregninger e.l. Hæftet indbinding, 7. udgave. Udgivet i 2020 af Pearson. 605 sider, illustreret i farver. Beskrivelse af bogen: There's no doubt that a manager's job is getting tougher. “Do it better, do it faster, do it cheaper” are the pressures every manager faces. And, at the heart of every manager's role is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making. As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. ”Quantitative Analysis for Decision Makers” helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: • The use of real data sets to show how analytical techniques are used in practice • “QADM in Action” case studies illustrate how organisations benefit from the use of analytical techniques • Articles from the Financial Times demonstrate the use of such techniques in a variety of business settings • Fully worked examples and exercises supported by Excel data sets • Student Progress Check activities in each chapter […]