Tag: identity-resolution
-
Why is your real-time personalisation always late, and how do you fix it?
Customers move across app, web, store, and TV in one session. Your batch stack answers hours later, after the moment has passed. Run real-time only where speed changes the outcome, and let batch do the rest.
-
Why does identity resolution fail, and how do you fix it?
Identity resolution is the layer every other data project stands on, and the one most teams skip. Below 60% coverage your personalisation and attribution are guesses. Build the spine deterministically.
-
Why is your customer data fragmented, and how do you fix it?
Every tool you buy ships its own customer table. That is how silos are born. The fix is a leadership decision, not a licence: name one master and resolve records on keys you can trust.
-
Why did your CDP become another silo, and what replaces it?
You bought a CDP to end the single-view problem. Layered onto fragmented systems, it became one more isolated store holding partial profiles. The fix is composable: the warehouse as the single store, with identity, modelling, and activation as services on top.
-
Is your data ready for AI? Why most AI projects stall in pilot
AI does not transcend the data underneath it. Feed it fragmented, dirty data and it scales the mess. The fix is to treat data readiness as the precondition for AI spend, not a parallel workstream.
-
The Governance Trap: How You Are Killing Your Own Data (3 of 3)
Half your data decay is self-inflicted. You capture age instead of DOB. You expire cookies faster than the law requires. None of this is the regulator fault. It is a design choice you can reverse.