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Marketing data, fast and slow

28:47
 
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Manage episode 366010869 series 2824610
Indhold leveret af Supermetrics. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Supermetrics eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

79 episoder

Artwork
iconDel
 
Manage episode 366010869 series 2824610
Indhold leveret af Supermetrics. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Supermetrics eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

79 episoder

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