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Marketing data, fast and slow

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Manage episode 366010869 series 2824610
Content provided by Supermetrics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Supermetrics 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.

In this episode, we discuss two approaches to marketing data—centralized vs. decentralized.

With a centralized data access model, the data team can easily manage the data quality and ensure it complies with the internal data policies before distributing it to stakeholders like marketing.

On the other hand, a decentralized data model doesn't require data to be stored in a data warehouse or data lake. Rather, the data users can quickly get the raw data directly from different sources into their go-to reporting and analytics tools.

At Supermetrics, we're seeing many analytical-matured companies get the best of both worlds by combining both approaches.

Read more about centralized vs. decentralized data access models: https://supermetrics.com/blog/supermetrics-vs

Check out Supermetrics: https://supermetrics.com/start-trial

  continue reading

76 episodes

Artwork
iconShare
 
Manage episode 366010869 series 2824610
Content provided by Supermetrics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Supermetrics 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.

In this episode, we discuss two approaches to marketing data—centralized vs. decentralized.

With a centralized data access model, the data team can easily manage the data quality and ensure it complies with the internal data policies before distributing it to stakeholders like marketing.

On the other hand, a decentralized data model doesn't require data to be stored in a data warehouse or data lake. Rather, the data users can quickly get the raw data directly from different sources into their go-to reporting and analytics tools.

At Supermetrics, we're seeing many analytical-matured companies get the best of both worlds by combining both approaches.

Read more about centralized vs. decentralized data access models: https://supermetrics.com/blog/supermetrics-vs

Check out Supermetrics: https://supermetrics.com/start-trial

  continue reading

76 episodes

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