Data Warehousing Projects: 3 Indicators of Success

Data warehousing projects are highly technical, and typically involve a lot of different moving parts.

So how do non-technical business leaders know if the project is going well?

While you should listen to your data team there are a couple of leading indicators for project health.

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Leading Indicators:

1. Documentation – While no project ever has “perfect” documentation, there should be something in place—and it should improve as the project progresses.
2. Data Quality Checks – A healthy project brings data quality into the mix early on. Whether it’s a log table, reconciliation query, or another approach, these checks should be baked in from the start.
3. Data Model or Process Flow – If you don’t have a map, you don’t know where you are going or how to get there.

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These don’t need to be perfect while the project is ongoing, but there should be a concerted effort to get them in place.

In short, if your team is giving these areas a solid shot, it’s a good sign your project is on track.

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All the Best,

Tucker