FP&A

Shift Data Left

Why ERP and EPM projects look perfect on paper and then fall apart at the finish line, and the one change to the implementation playbook that fixes it. Stop treating data as the final checkbox on the right. Drag it all the way to Day One.

Modernising ERP implementation: the 'shift data left' concept. Top: the traditional 'data at the end' chevron timeline, with data migration and integration crammed into the final phase before go-live, flagged high risk of failure and poor data quality. Bottom: the 'shift data left' approach, with data analysis and cleansing moved early and made continuous, leading to a go-live with high data-quality confidence.
Data migration belongs at Day One, not the final phase before go-live.

We've all seen this movie before.

You spend months on strategy, design, and building a state-of-the-art enterprise EPM system. Everything looks perfect on paper. Then you reach the final stretch (Data Migration & Integration) and the wheels completely fall off.

Suddenly, the implementation and client teams realise the truth: the data is not production-ready. The result? Costly delays, budget overruns, frustrated stakeholders, and a compromised go-live.

The problem: data on the right

In traditional chevron-style project timelines, data is treated as a final checkbox. It sits all the way on the right of the diagram. But data isn't a final step. It's the foundation of the entire system.

Testing a perfect system with garbage data is a recipe for disaster.

The solution: shift data left

It's time to rewrite the implementation playbook. Take data migration, cleansing and profiling out of the "final phase" silo, and drag it all the way to Day One.

Expose data debt early

Uncover formatting errors, duplicates and missing fields during the design phase, not the panic-fuelled testing phase.

Build around reality

Design workflows on actual, cleansed data rather than idealised assumptions.

De-risk go-live

The final migration becomes a non-event, because the data has been continuously tested and validated throughout the cycle.

Stop delaying the inevitable

If you don't validate your data early, your project isn't "on track". It's just delaying the inevitable.

Let's stop treating data as an afterthought. Shift it left.

Data first, not last

A platform that profiles, cleanses and validates your data from Day One, so go-live is a non-event, not a cliff edge. That's how we think about implementation at Novi. Join early access to follow the work.