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Aggregation Theory applied to martech stacks
I recently wrote how martech stacks have arguably become virtual platforms. Even if you have a completely heterogeneous, 'best-of-breed' stack, you likely have a set of products that work across your stack to provide cohesion, albeit each at a different layer of integration: Data: everything ultimately ends up in a 'data lake' platform such as Snowflake Workflow: tools such as Workato and Zapier orchestrate processes across apps UI/UX: tools such as Slack provide a common
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Aggregation Theory applied to martech stacks
I recently wrote how martech stacks have arguably become virtual platforms. Even if you have a completely heterogeneous, 'best-of-breed' stack, you likely have a set of products that work across your stack to provide cohesion, albeit each at a different layer of integration: Data: everything ultimately ends up in a 'data lake' platform such as Snowflake Workflow: tools such as Workato and Zapier orchestrate processes across apps UI/UX: tools such as Slack provide a common
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Aggregation Theory applied to martech stacks
I recently wrote how martech stacks have arguably become virtual platforms. Even if you have a completely heterogeneous, 'best-of-breed' stack, you likely have a set of products that work across your stack to provide cohesion, albeit each at a different layer of integration: Data: everything ultimately ends up in a 'data lake' platform such as Snowflake Workflow: tools such as Workato and Zapier orchestrate processes across apps UI/UX: tools such as Slack provide a common
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