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Diving Deep into Demand Analytics: Meet Leo Greyz

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Manage episode 294044550 series 2934680
Content provided by The Parker Avery Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Parker Avery Group 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://staging.podcastplayer.com/legal.

Parker Avery's Chief Analytics Officer, Sam Iosevich, sits down with demand planning expert Leo Greyz to discuss the firm's latest developments in demand analytics for retail and consumer goods companies. Hear about the key drivers pushing advanced demand analytics capabilities far deeper and faster than the industry had ever imagined. Also, get realistic advice from Parker Avery's retail experts that will help your company achieve strong analytics capabilities to quickly realize meaningful results.

Check out the highlights of Sam and Leo's conversation, including Leo’s recommendations for retailers and CPGs who are moving forward with their advanced analytics initiatives: https://parkeravery.com/retail-cpg-advanced-analytics-game-changer/

Learn more about The Parker Avery Group's advanced analytics services by visiting: https://parkeravery.com/enterprise-intelligence/

You may also like this content:

Ask the Hypercube: Democratizing Predictive Analytics with Generative AI: https://parkeravery.com/ask-the-hypercube-democratizing-predictive-analytics-with-generative-ai/

Enterprise-wide Planning Solution Drives Global Retailer’s Agility​: https://parkeravery.com/industry-experience/enterprise-wide-planning-solution-drives-global-retailers-agility/

A Demand Analytics Time Machine: https://parkeravery.com/podcast-a-demand-analytics-time-machine/

Introduction music: On My Way by Kevin MacLeod
Link: https://incompetech.filmmusic.io/song/4163-on-my-way
License: http://creativecommons.org/licenses/by/4.0/

Cover image by Jorge Guillen from Pixabay

  continue reading

60 episodes

Artwork
iconShare
 
Manage episode 294044550 series 2934680
Content provided by The Parker Avery Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Parker Avery Group 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://staging.podcastplayer.com/legal.

Parker Avery's Chief Analytics Officer, Sam Iosevich, sits down with demand planning expert Leo Greyz to discuss the firm's latest developments in demand analytics for retail and consumer goods companies. Hear about the key drivers pushing advanced demand analytics capabilities far deeper and faster than the industry had ever imagined. Also, get realistic advice from Parker Avery's retail experts that will help your company achieve strong analytics capabilities to quickly realize meaningful results.

Check out the highlights of Sam and Leo's conversation, including Leo’s recommendations for retailers and CPGs who are moving forward with their advanced analytics initiatives: https://parkeravery.com/retail-cpg-advanced-analytics-game-changer/

Learn more about The Parker Avery Group's advanced analytics services by visiting: https://parkeravery.com/enterprise-intelligence/

You may also like this content:

Ask the Hypercube: Democratizing Predictive Analytics with Generative AI: https://parkeravery.com/ask-the-hypercube-democratizing-predictive-analytics-with-generative-ai/

Enterprise-wide Planning Solution Drives Global Retailer’s Agility​: https://parkeravery.com/industry-experience/enterprise-wide-planning-solution-drives-global-retailers-agility/

A Demand Analytics Time Machine: https://parkeravery.com/podcast-a-demand-analytics-time-machine/

Introduction music: On My Way by Kevin MacLeod
Link: https://incompetech.filmmusic.io/song/4163-on-my-way
License: http://creativecommons.org/licenses/by/4.0/

Cover image by Jorge Guillen from Pixabay

  continue reading

60 episodes

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