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The Tech Talks Daily Podcast

2001 EpisodesProduced by Neil C. HughesWebsite

The speed of technological change continues to race ahead at breakneck speed, but it will never move this slowly again.In 2024, businesses and their employees will be expected to get to grips with AI, Machine Learning, Quantum Computing, Extended Reality, Cloud Computing, Edge Computing, Sustainable… read more

25:05

756: DataStax - How Retailers Can Address Consumer Expectations

New data from DataStax has found that consumer patience for retail is wearing thin, especially during the holiday season where no one has time to waste.     Key findings include: 

  • Nearly 7 in 10 (69%) international adults are willing to spend extra to reduce their wait times for services.  
  • Those who are willing to pay more will shell out, on average, 21% extra to reduce their wait 
  • In the United States, millennials (age 18-34) who are willing to pay more, on average, will pay 40% over the regular price 
  • Online service issue complaints likely need to be responded to while the issue is still top of mind, as nearly half (48%) of international adults will only wait 30 minutes or less
  • Only 3% of international adults are willing to wait more than 30 minutes for service at a brick-and-mortar retail store
  • German adults are least likely to wait 30 minutes (1%), followed by French adults (2%), UK adults (3) and US adults (7%)  

  I invited Eric Brown, VP of Corporate Marketing and Communications at DataStax onto my daily tech podcast to explore the findings of the report and learn more about where personalization matters most.

About DataStax

DataStax delivers the always-on, Active Everywhere distributed hybrid cloud database built on Apache Cassandra. The foundation for personalized, real-time applications at massive scale, DataStax Enterprise makes it easy for enterprises to exploit hybrid and multi-cloud environments via a seamless data layer that eliminates the issues that typically come with deploying applications across multiple on-premises data centers and/or multiple public clouds.

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