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Data Collection Budgeting: Hidden Costs You Need to Know
#DataAnalysis #datacollectioncompany #aidatacollection
Data collection budgeting often reveals substantial hidden costs that can quickly exceed initial estimates, transforming what appears to be a straightforward data acquisition project into a complex financial undertaking. Beyond the obvious expenses of purchasing datasets or hiring collection teams, organizations must account for data storage and infrastructure scaling costs, quality assurance and validation processes, legal compliance and privacy auditing, and the often-overlooked expenses of data cleaning and preprocessing that can consume 60-80% of a data science team's time.
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09:13 AM - Jul 22, 2025 (UTC)

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