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February 24, 2022updated 04 Apr 2022 12:18pm

Is big data a big deal in beverages? – data

References to the term ‘big data’ in beverage companies’ filings registered a dip in the third quarter of last year, according to recently-released data.

In the three months to the end of September, the appearance of the term was down 16% on the previous quarter, to the end of June. The rate of mentions in the 12 months so the end of September was 165% higher than in 2016 when GlobalData first began to track the key issues referred to in company filings.

Of the 20 biggest employers in beverages, Coca-Cola HBC referred to big data the most over the 12-month period. GlobalData identified 31 big data-related sentences in the bottler's filings, representing 0.3% of all sentences. Tingyi Holding Corp mentioned big data the second most, in 0.3% of sentences in its filings. Other top employers with high big data mentions included Diageo, Pernod Ricard and PepsiCo.

The filing that featured the strongest focus on the theme in the quarter came from Diageo: Of the document's 3,652 sentences, six - 0.2% - referred to big data.

GlobalData also categorises big data mentions by a series of subthemes. Of these, the most commonly referred-to topic in Q3 last year was 'data analytics', which made up 93% of all big data sub-theme mentions by beverage companies.

When drinks companies publish annual and quarterly reports, ESG reports and other filings, GlobalData analyses the text and identifies individual sentences that relate to disruptive forces facing companies in the coming years. Big data counts as one of these topics - companies that are investing in these areas are expected to be better equipped to survive unforeseen challenges.

This analysis provides an approximate indication of which companies are focusing on big data and how important the issue is considered within beverages. However, a company mentioning big data more regularly is not necessarily proof that they are utilising new techniques or prioritising the issue, nor does it indicate whether the company's ventures into big data have been successes or failures.

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