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Managing with Analytics at Procter & Gamble (Spanish version)
Davenport, Thomas H.; Iansiti, Marco; Serels, AlainCaso HBS-614S08Servicios y operacionesSenior management at P&G has put a strong emphasis on using data to make "better, smarter, real-time business decisions." The Global Business Services (GBS) organization has developed tools, systems and processes to provide managers throughout P&G with direct access to up-to-date data and advanced analytics. In addition, GBS has embedded analysts within the business units to work alongside leaders and managers in driving real-time information-bas...Desde 8,20 €
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Managing with Analytics at Procter & Gamble
Davenport, Thomas H.; Iansiti, Marco; Serels, AlainCaso HBS-613045-EServicios y operacionesSenior management at P&G has put a strong emphasis on using data to make "better, smarter, real-time business decisions." The Global Business Services (GBS) organization has developed tools, systems and processes to provide managers throughout P&G with direct access to up-to-date data and advanced analytics. In addition, GBS has embedded analysts within the business units to work alongside leaders and managers in driving real-time information-bas...Desde 8,20 €
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A Bayesian Examines the Lady Tasting Tea (Abridged)
Pfeifer, Phillip E.Nota técnica DARDEN-QA-0768-EAnálisis de decisionesThis technical note accompanies the case/class on “The Lady Tasting Tea” (LTT). It describes how a Bayesian would update his or her prior probability for the probability the LTT can correctly distinguish cups of tea based on whether the milk was added first or last. The long-form note (UVA-QA-0769) describes both a discrete model (LTT has p of 0.5 or 0.8) and a more complicated continuous model (p is beta distributed). This abridged note describe...Desde 8,20 €
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A Bayesian Examines the Lady Tasting Tea
Pfeifer, Phillip E.Nota técnica DARDEN-QA-0769-EAnálisis de decisionesThis technical note accompanies the case/class on “The Lady Tasting Tea” (LTT). It describes how a Bayesian would update his or her prior probability for the probability the LTT can correctly distinguish cups of tea based on whether the milk was added first or last. This long-form note describes both a discrete model (LTT has p of 0.5 or 0.8) and a more complicated continuous model (p is beta distributed). The abridged note (UVA-QA-0768) describe...Desde 8,20 €