THANK YOU FOR SUBSCRIBING
Food and Beverages Tech Review | Tuesday, August 17, 2021
The epidemic has accelerated the need for improved data analytics in the food industry.
FREMONT, CA: Most of today's data is in unstructured formats, such as tweets, blogs, photos, and videos. Historically, businesses were unable to gain insights from this type of data. However, using Big Data technology, people can combine unstructured and structured data to gain valuable insights into client behaviour and purchasing habits.
People can now connect tweets, Facebook posts, blogs, and other social media activity with sales and transaction data for a brand, sentiment, affinity, and propensity analytics.
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
Examples:
[vendor_logo_first]
Marketing and Advertising
Big Data analytics in marketing and advertising allows marketing departments to better target their customers by forecasting consumer behaviour and enhancing the efficacy of their marketing expenditure.
Examples:
Supply Chain, operation, and Security
Supply chain inefficiencies cost the consumer products and retail industries roughly 3.5 percent of annual sales. Big Data allows enterprises to understand their internal working in new ways by combining enterprise data with data from external sources. This helps reduce waste and supply chain expenses while also improving organizational efficiency.
Examples:
Operating system and application logs record daily user activity and give essential information about an organization's system architecture to enhance uptime.
See Also: Top Drone Professional Service Companies
More in News