usecases
Personalising the shopping experience
Companies need solutions that aggregate many sources of on- and off-line information, extract data sets quickly, and ease the deployment of models to compute real-time compelling recommendations.
usecases
Discover how a large car manufacturer that wanted to create a pan-European Data Analytics landscape managed to get data engineering complexity out of the way to implement a business-driven data program.
usecases
Companies need solutions that aggregate many sources of on- and off-line information, extract data sets quickly, and ease the deployment of models to compute real-time compelling recommendations.
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Generate, trough data, additional revenues by automating recommendations with intermediaries, making targeted interactions with customers possible.
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Match your business with the everlasting changes in customers’ preferences and expectations.
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By using Digazu you will significantly reduce the time to implement all the necessary steps to detect potentially fraudulent behaviour.