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Listen "Marketing data, fast and slow"
Episode Synopsis
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.
about centralized vs. decentralized data access models: https://supermetrics.com/blog/supermetrics-vs
Check out Supermetrics: https://supermetrics.com/start-trial
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.
about centralized vs. decentralized data access models: https://supermetrics.com/blog/supermetrics-vs
Check out Supermetrics: https://supermetrics.com/start-trial
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