Essay on Managing with Analytics at Proctor & Gamble

1706 Words Apr 10th, 2015 7 Pages
Megan Morales
Madeline Row
Mgmt 450.003
Case Brief

Managing with Analytics at Procter & Gamble
Overview

Procter & Gamble has always maintained their brand position as a widely renowned and successful international company. That success has been attributed to many things over the years, including the information decision solutions provided through their core analytics team. With the passionate leadership exhibited by the company’s CEO, Bob McDonald, and the ambitious and visionary efforts of CIO Passerini, P&G was able to secure a clear competitive advantage through the development of their analytics department. In this case discussion, a brief overview of the company’s efforts to transform their IT department as well as
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He imagined that IDS would aid to more effective real-time decision-making, strategic development and advances in technology, smoothing out the company’s managerial assessments.
A critical aspect of IDS was the analytics capabilities to automate and standardize integration systems using data from real-time operations. Bob McDonald, the CEO of P&G stated, “ Moving business intelligence to the center of how business gets done is absolutely critical, as business analytics is a new way to win in the marketplace. And, it is the going to be the tools, the talent, and the culture, not just the data, which are the true competitive advantages to driving business value.” He helped the company to recognize that the positive results exhibited by the changes to IDS were observable in all aspects of the business and its operations. This clear understanding and vision for IDS’s functionality helped P&G to continue refining processes, and further their competitive advantage.
With the new integrated analytics, all of the data from each organization was collected and stored together in standard formats in the central data warehouse. This allowed for easier data comparison across divisions and established standards in quality and data type. Managers from one division would be able to see charts and data from another, and quickly gather information to assess the situation. Problems could be fixed when they arose, and decisions…

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