Hunton Privacy
JUNE 25, 2020
Establishments and companies in the UK will therefore be responsible for the additional collection and potential sharing of customers’ personal data. Any entity engaging in this kind of data collection will need to comply with the requirements of data protection law.
IBM Big Data Hub
FEBRUARY 14, 2024
Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.
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AIIM
MARCH 29, 2022
Retailers and brands will open virtual stores, launch virtual collections, or host exclusive digital events for their targeted NFT holders. Data architecture is probably the first to rank. Integration and data consumption will redefine their order of magnitude, and AI will be the de facto standard.
IBM Big Data Hub
FEBRUARY 7, 2024
Retailers, particularly in the fashion industry, are increasingly embracing circular business models: rental and resale programs offer opportunities for growth, while repair services offer an alternative to landfill disposal. Research expects that transitioning to a circular economy could generate USD 4.5
IBM Big Data Hub
SEPTEMBER 19, 2023
Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.
Data Protection Report
MAY 10, 2018
Federal Trade Commission (FTC) released for public comment an administrative complaint and proposed consent agreement with mobile phone manufacturer BLU Products Inc. In November of 2016, reports about the ADUPS collection and sharing of consumer information became public. On April 30, 2018, the U.S. and its owner and president.
Reltio
AUGUST 16, 2018
Personal data includes a wide range of personal identifiers, from addresses and public information, to social profiles, images, IP information, device IDs and medical and financial details. Consumer personal data collected within your company is often distributed to multiple systems and organizations, resulting in duplication.
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