IBM Big Data and Analytics enable Pernod Ricard to reduce reporting time by 50%

IBM Big Data and Analytics have enabled wines and spirits vendor Pernod Ricard Asia to improve marketing intelligence and reduce reporting and query response time by more than 50 percent.

Big Data and Analytics from IBM is providing the management team with updated information to make decisions quickly. Pernod Ricard Asia analyzes consumer purchasing habits that can change rapidly in 13 markets that it operates through local affiliates.

Joanna Tsang, data warehouse manager, Pernod Ricard Asia, said: “In order to continue growth in the region, it is critical for us to remain up to speed with the latest marketing intelligence and IBM’s Big Data and Analytics technology allows us to do that.”

IBM Big Data and Analytics enable Pernod Ricard to reduce reporting time by 50 percent

Since 1998 Pernod Ricard Asia’s data warehouse has grown to more than two terabytes due to growth of new markets and data sources, additions of brand portfolio as well as the normal accumulation of data over time, said IBM.

In 2011, the company faced challenges because the existing data warehouse system was taking more than 12 hours to complete the daily batch processing and reporting cycle. System response time to business intelligence queries were also a problem for supporting the 1,000 business analysts and users across the region.

IBM’s PureData System for Analytics powered by Netezza technology improved Pernod Ricard Asia’s processes significantly – speeding data loading time by over 50 percent, and generating reports 60 percent faster, said IBM in a statement.

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