Prerequisites for a data project | Template

What you must validate before starting a successful data project

Many data projects fail or get delayed because key requisites were not validated at the beginning. This template for data projects helps you assess, in a structured way, whether your organization is truly ready to start. It allows you to detect risks, align stakeholders and prevent unexpected stoppers.

Inside, you will find two clear types of conditions: 

-Warnings: the project can start, but these issues should be addressed as soon as possible.

-Stoppers: critical blockers that should be solved before the project begins.

What is the main purpose of this template?

To help organizations validate their conditions easily before starting a data project. It is designed for data leaders, project managers, analytics teams and business stakeholders involved in launching data initiatives.

When should this be used?

It should be used during the earliest planning phase, before defining scope, timelines and architecture.

Download this free template and use it as your first validation framework to start data projects with clarity and realistic expectations!

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