Composable Architecture: Unclog Your MAP

Key Highlights & Findings

• Many MAPs have become 'junk drawers' by taking on responsibilities beyond engagement, acting as data cleansers, routing engines, scoring machines, and identity resolution services.: Many MAPs have become 'junk drawers' by taking on responsibilities beyond engagement, acting as data cleansers, routing engines, scoring machines, and identity resolution services.

• Adding AI to an already cluttered, monolithic MAP architecture can exacerbate problems due to limited data visibility, whereas a composable model allows AI to reason over broader, cross-organizational data.: Adding AI to an already cluttered, monolithic MAP architecture can exacerbate problems due to limited data visibility, whereas a composable model allows AI to reason over broader, cross-organizational data.

• A phased migration approach to composable architecture involves moving data hygiene tasks first (Data Sidecar), then externalizing core logic (Externalize the Brain), and finally right-sizing MAP activation features.: A phased migration approach to composable architecture involves moving data hygiene tasks first (Data Sidecar), then externalizing core logic (Externalize the Brain), and finally right-sizing MAP activation features.