Big Data Case Studies
Procter & Gamble whose products we all use 2-3 times a day is a 179-year-old company. The genius company has recognized the potential of Big Data and put it to use in business units around the globe. P&G has put a strong emphasis on using big data to make better, smarter, real-time business decisions. The Global Business Services organization has developed tools, systems, and processes to provide managers with direct access to the latest data and advanced analytics. Therefore P&G being the oldest company, still holding a great share in the market despite having many emerging companies.
Question 1: P&G has factories and labs in different countries around the world. Each location generates a lot of reports of different formats, in different languages, containing different aspects of information, due to the local auditing rules, staff preference, etc. Discuss how should such data be processed before sending for analysis? Justify your answer please.
Question 2: The big volume of data is collected from P&G branches located in different geography locations. What kind of system architecture would you recommend P&G to use to store and analyse such data. Please justify your answer.
Question 3: To steer the business at real time, the decision support system at P&G is available to everyone, based on a common data set, 38, 000 users. Discuss the advantages of this design, and the related issues/concerns.