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Abstract

Let us begin with the first step of the intelligence cycle: data collection. Many businesses gather crucial information – on expenditures and sales, say – but few enter it into a central database for systematic evaluation. The first task of the statistician is to mine this valuable information. Often, this requires skills of persuasion: employees may be hesitant to give up data for the purpose of systematic analysis, for this may reveal past failures.

Chapter 2 Translated from the German original, Cleff, T. (2011). 2 Vom Zahlenwust zum Datensatz. In Deskriptive Statistik und moderne Datenanalyse (pp. 15–29) © Gabler Verlag, Springer Fachmedien Wiesbaden GmbH, 2011.

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Notes

  1. 1.

    The Ifo Business Climate Index is released each month by Germany’s Ifo Institute. It is based on a monthly survey that queries some 7,000 companies in the manufacturing, construction, wholesaling, and retailing industries about a variety of subjects: the current business climate, domestic production, product inventory, demand, domestic prices, order change over the previous month, foreign orders, exports, employment trends, three-month price outlook, and six-month business outlook.

  2. 2.

    For more, see the method described in Chap. 5.

  3. 3.

    A metric scale with a natural zero point and a natural unit (e.g. age).

  4. 4.

    A metric scale with a natural zero point but without a natural unit (e.g. surface).

  5. 5.

    A metric scale without a natural zero point and without a natural unit (e.g. geographical longitude).

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Cleff, T. (2014). Disarray to Dataset. In: Exploratory Data Analysis in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-01517-0_2

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