Ask a first-time GIS client where their budget will go, and most guess the software licence, or maybe the analysts' salaries. The real answer surprises almost everyone: roughly 80 percent of a typical GIS project's cost gets spent just getting accurate data into the system, before a single spatial query ever runs.

Where That Budget Actually Goes

Tap the bar below to see the rough cost split most GIS projects experience. It's lopsided, and once you know why, a lot of project timelines suddenly make more sense.

That imbalance exists because accuracy has to be earned at the source. No amount of clever software fixes a badly surveyed boundary or an outdated satellite image later. This is exactly why choosing the right data source, and doing it carefully the first time, decides more about a project's success than any analysis step downstream.

Seven Ways Real-World Data Reaches a GIS

GIS pulls from a fixed set of data sources, each with its own cost, accuracy, and use case. None of them is universally "best," the right one depends entirely on the job.

Notice the trade-off running through all six: the more accurate a source, the smaller the area it can practically cover. Ground survey with a DGPS & RTK survey gives centimetre-level precision but is expensive over large regions. Satellite imagery covers thousands of square kilometres but trades away fine detail. Picking the right one for the job is the first real decision on any GIS project.

See the Trade-off Yourself

Drag the slider to compare project area against typical accuracy achievable within a realistic budget. Watch how the two pull in opposite directions.

This is precisely the judgment call a survey lead makes before mobilizing any team. A boundary dispute over half an acre needs ground-truthed precision; a regional land use study spanning several districts is better served by satellite data. Mixing up the two wastes either time or money, sometimes both.

Where Drones Changed the Equation

Modern drone survey work has quietly shifted this trade-off. Drones now cover moderate areas, tens to hundreds of hectares, at survey-grade accuracy, filling the gap that used to force a choice between expensive ground survey and coarse satellite imagery.

The data you collect first sets a ceiling on every answer the GIS gives you later.

Next time a GIS project timeline looks front-loaded, that's not inefficiency, that's where the real work happens. Everything after data acquisition moves fast precisely because the hard part is already done.