11,89 €
Forecasting Offertory Revenue at St. Elizabeth Seton Catholic Church
Forecasting Offertory Revenue at St. Elizabeth Seton Catholic Church
  • Išparduota
Forecasting Offertory Revenue at St. Elizabeth Seton Catholic Church
Forecasting Offertory Revenue at St. Elizabeth Seton Catholic Church
El. knyga:
11,89 €
This new business analytics case study challenges readers to forecast donations, plan budgets, and manage cash flow for a religious institution suffering rapidly falling contributions. Crystallizing realistic analytical challenges faced by non-profit and for-profit organizations of all kinds, it exposes readers to the entire decision-making process, providing opportunities to perform analyses, interpret output, and recommend the best course of action. Author: Matthew J. Drake, Duquesne Universi…
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 8
  • ISBN: 9780133822441
  • ISBN-10: 0133822443
  • ISBN-13: 9780133822441
  • Formatas: PDF
  • Kalba: Anglų

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This new business analytics case study challenges readers to forecast donations, plan budgets, and manage cash flow for a religious institution suffering rapidly falling contributions. Crystallizing realistic analytical challenges faced by non-profit and for-profit organizations of all kinds, it exposes readers to the entire decision-making process, providing opportunities to perform analyses, interpret output, and recommend the best course of action. Author: Matthew J. Drake, Duquesne University.

11,89 €
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  • Autorius: Drake Matthew J.
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 8
  • ISBN: 9780133822441
  • ISBN-10: 0133822443
  • ISBN-13: 9780133822441
  • Formatas: PDF
  • Kalba: Anglų

This new business analytics case study challenges readers to forecast donations, plan budgets, and manage cash flow for a religious institution suffering rapidly falling contributions. Crystallizing realistic analytical challenges faced by non-profit and for-profit organizations of all kinds, it exposes readers to the entire decision-making process, providing opportunities to perform analyses, interpret output, and recommend the best course of action. Author: Matthew J. Drake, Duquesne University.

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