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WBSP661: Grow Your Business by Understanding Oracle Demantra’s Capabilities, an Objective Panel Discussion

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Manage episode 458317494 series 2839167
Inhalt bereitgestellt von Sam Gupta. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Sam Gupta oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

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S&OP systems have evolved dramatically in recent years, paralleling advancements seen across other enterprise software categories. Modern S&OP solutions are now cloud-native, offering far more than traditional demand forecasting capabilities. These robust, enterprise-grade platforms often include advanced features like trade promotion planning and settlements, addressing the needs of the entire value chain. A notable example is Oracle Demantra, which once stood out for its extensive library of demand forecasting algorithms but has since been integrated into the Oracle Demand Management Cloud solution. Yet, its position among other leading enterprise-grade options, such as e2open or Blue Yonder, continues to spark discussion as businesses weigh their strengths in functionality, scalability, and overall fit for diverse operational requirements.
In today's episode, we invited a panel of industry experts for a live discussion on LinkedIn to conduct an independent review of Oracle Demantra’s capabilities. We covered many grounds, including where Oracle Demantra might be a a fit in the enterprise architecture and where it might be overused. Finally, they analyze many data points to help understand the core strengths and weaknesses of Oracle Demantra.
Background Soundtrack: Away From You – Mauro Somm
For more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform.

  continue reading

670 Episoden

Artwork
iconTeilen
 
Manage episode 458317494 series 2839167
Inhalt bereitgestellt von Sam Gupta. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Sam Gupta oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Send us a text

S&OP systems have evolved dramatically in recent years, paralleling advancements seen across other enterprise software categories. Modern S&OP solutions are now cloud-native, offering far more than traditional demand forecasting capabilities. These robust, enterprise-grade platforms often include advanced features like trade promotion planning and settlements, addressing the needs of the entire value chain. A notable example is Oracle Demantra, which once stood out for its extensive library of demand forecasting algorithms but has since been integrated into the Oracle Demand Management Cloud solution. Yet, its position among other leading enterprise-grade options, such as e2open or Blue Yonder, continues to spark discussion as businesses weigh their strengths in functionality, scalability, and overall fit for diverse operational requirements.
In today's episode, we invited a panel of industry experts for a live discussion on LinkedIn to conduct an independent review of Oracle Demantra’s capabilities. We covered many grounds, including where Oracle Demantra might be a a fit in the enterprise architecture and where it might be overused. Finally, they analyze many data points to help understand the core strengths and weaknesses of Oracle Demantra.
Background Soundtrack: Away From You – Mauro Somm
For more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform.

  continue reading

670 Episoden

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