At 50 employees, data responsibility usually falls to whoever is best at Excel. At 100, you might have someone with "analyst" in their title. At 200, you probably have a business intelligence backlog that nobody owns.
The question is not whether you need a data function. The question is when the cost of not having one exceeds the cost of building one.
What the informal data function costs you
When data work is distributed across the business informally, three things happen. First, reports are inconsistent - different people calculate the same metric differently, and nobody has authority to resolve the conflict. Second, valuable analysis does not get done because the people who could do it are too busy maintaining what already exists. Third, institutional knowledge about how data flows through the business exists only in a few people's heads.
What a formal data function looks like at your size
You do not need a team of ten. At 100 to 300 employees, a single dedicated data function - whether an internal hire, a fractional resource, or an external partner - can handle the architecture, the reporting layer, and the ongoing maintenance.
The function needs a clear mandate: own the data definitions, maintain the reporting infrastructure, and manage the backlog of analytics requests.
When to make the investment
The signal is usually one of three things. Leadership starts making significant decisions without reliable data to back them up. The same manual reports keep getting rebuilt by different people. Or a system implementation is coming that requires real data governance to succeed.
If you are trying to figure out whether a data engagement makes sense for where your business is right now, that is exactly the conversation to have in an initial call. We will tell you honestly if it does not.
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