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Streaming Analytics for Speedier Decision Making

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Manage episode 292507348 series 2690252
Content provided by Bruce Sinclair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bruce Sinclair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Our guest, Rohit Chauhan is the Founder & CEO at Topmist, a cloud-native real-time streaming data analytics firm. He has over 25 years of experience as a technology executive, data scientist, and business consultant with deep knowledge of industry processes and value drivers.

In this episode, Rohit and Bruce discuss:

  • The tech architecture of a runtime streaming data pipeline.
  • What it really means to do analytics in “real time”.
  • The differences between doing analytics on data collected in the past versus doing analytics on data being collected in the present.
  • Use cases that are a great fit for streaming analytics.
  • Case study on Coca Cola that quantifies the value they created from using streaming analytics to make faster marketing decisions.

Related links you may find useful:

  continue reading

139 episodes

Artwork
iconShare
 
Manage episode 292507348 series 2690252
Content provided by Bruce Sinclair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bruce Sinclair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Our guest, Rohit Chauhan is the Founder & CEO at Topmist, a cloud-native real-time streaming data analytics firm. He has over 25 years of experience as a technology executive, data scientist, and business consultant with deep knowledge of industry processes and value drivers.

In this episode, Rohit and Bruce discuss:

  • The tech architecture of a runtime streaming data pipeline.
  • What it really means to do analytics in “real time”.
  • The differences between doing analytics on data collected in the past versus doing analytics on data being collected in the present.
  • Use cases that are a great fit for streaming analytics.
  • Case study on Coca Cola that quantifies the value they created from using streaming analytics to make faster marketing decisions.

Related links you may find useful:

  continue reading

139 episodes

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