Procter & Gamble (P&G) touches the lives of approximately 4.8 billion people in 180 countries with its extensive consumer-based portfolio, which encompasses personal care, household cleaning, laundry detergent, and prescription drug products. The company’s leading brands include Pampers®, Tide®, Ariel®, Always®, Whisper®, Pantene®, Gillette®, Bounty®, and Dawn®.
To examine its business program success and react more quickly to changing market conditions, P&G needed to clearly and easily understand its rapidly growing and vast amount of data.
With the implementation of the Oracle Big Data Appliance, combined with the Cloudera Hadoop ecosystem, P&G can solve age-old mysteries with new analytics capabilities. The company integrated vast amounts of structured and unstructured data across research and development, supply chain, customer-facing operations, and customer interactions, both from traditional data sources and new sources of online data. The solution is helping the company best serve its customers wherever they are.
P&G quickly implemented Oracle Big Data Appliance, a pre-engineered solution. It supports the company’s ability to complete analysis on multiple data sets quickly—including those from industry sources, retail data, and internal enterprise information—and react more quickly, while offering superior time to value.
Now, P&G can load and integrate data faster and execute reliable analysis at scales that were previously not possible.
“We wanted an end-to-end solution to provide visibility into structured and unstructured data, giving us the bigger picture and details about our products. Using the R language and the broader Hadoop ecosystem on Oracle Big Data Appliance gives us a solution that scales linearly. It is an extremely reliable platform that provides an excellent foundation for an analytics factory,” said Terry McFadden, associate director, global business services, Procter & Gamble.Oracle Big Data Appliance
“I was convinced that Hadoop was the answer to our big data challenge. We did not want to knit our own cluster. Oracle Big Data Appliance gave us the shortest path to value. We could drop the implementation in and start chopping on problems. In a matter of days, we were loading data and beginning to work on it,” McFadden said.