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A tartalmat a XenTegra biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a XenTegra vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Salesforce Simplified: The History and Future of Salesforce Data Cloud

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Manage episode 379997002 series 3508800
A tartalmat a XenTegra biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a XenTegra vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Data Cloud is the fastest growing organically built product in Salesforce’s history (i.e. Salesforce built it themselves, not via acquisitions). Data Cloud could be described as the ‘Holy Grail of CRM’, meaning that the data problem that’s existed since the infancy of CRM is now finally solvable.

A Salesforce study revealed that the average company has 928 systems – so a big company has thousands, and a small company likely has hundreds. As soon as you have more than one system, identity resolution becomes a challenge.
Salesforce has expanded into AI-powered CRM, the focus being on combining AI and data. Without data, AI cannot function to its full potential.

Data Cloud is the foundation that speeds up the connectivity between different ‘clouds’ across the platform. However, Data Cloud is also a product that can be purchased. While not all Salesforce customers have licensed Data Cloud, being at the foundation means they are still taking advantage of Data Cloud to a degree – but this all becomes even stronger with Data Cloud as a personalization and data unification platform.

So, what’s the journey this somewhat elusive Salesforce product/infrastructure has been on? We’ll take a look back in time to understand where we’ve come from, why Data Cloud stands strong in a crowded market, and finally, take a glimpse into the future.
Host: Andy Whiteside
Co-host: Derek Cassese

  continue reading

11 epizódok

Artwork
iconMegosztás
 
Manage episode 379997002 series 3508800
A tartalmat a XenTegra biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a XenTegra vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Data Cloud is the fastest growing organically built product in Salesforce’s history (i.e. Salesforce built it themselves, not via acquisitions). Data Cloud could be described as the ‘Holy Grail of CRM’, meaning that the data problem that’s existed since the infancy of CRM is now finally solvable.

A Salesforce study revealed that the average company has 928 systems – so a big company has thousands, and a small company likely has hundreds. As soon as you have more than one system, identity resolution becomes a challenge.
Salesforce has expanded into AI-powered CRM, the focus being on combining AI and data. Without data, AI cannot function to its full potential.

Data Cloud is the foundation that speeds up the connectivity between different ‘clouds’ across the platform. However, Data Cloud is also a product that can be purchased. While not all Salesforce customers have licensed Data Cloud, being at the foundation means they are still taking advantage of Data Cloud to a degree – but this all becomes even stronger with Data Cloud as a personalization and data unification platform.

So, what’s the journey this somewhat elusive Salesforce product/infrastructure has been on? We’ll take a look back in time to understand where we’ve come from, why Data Cloud stands strong in a crowded market, and finally, take a glimpse into the future.
Host: Andy Whiteside
Co-host: Derek Cassese

  continue reading

11 epizódok

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