Big Data Strategy of Procter & Gamble: Turning Big Data into Big Value
| Case Code: ITSY091 Case Length: 14 Pages Period: 2010-2017 Pub Date: 2017 Teaching Note: Available |
Price: Rs.600 Organization: P&G Industry: Fast Moving Consumer Goods Countries: US; Europe; Global Themes: Big Data Strategy, Digital Transformation |
Abstract Case Intro 1 Case Intro 2 Excerpts
Big Data Origins
Big data referred to extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. It denoted the huge amount of data recurrently collected through devices and technologies such as credit cards and customer loyalty cards, social media from the internet, Wi-Fi sensors, and electronic devices. Much of this data was unstructured, that is, not shaped in a specific, predefined data model. According to the Oxford English Dictionary, the term ‘Big Data’ was first used in 1941 to quantify the growth rate in the volume of data – alternatively known as the information explosion. Later, the term became more and more related to information in the digital format and the Information Technology sector.
By 2013, big data had started to gain acceptance as it held promising opportunities for businesses. It was showing its impact on the healthcare, industrial, retail, and financial sectors, to name a few....
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