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Data access, quality, and structure can significantly influence the effort and cost of project delivery.

Well‑organized and accessible data shortens project cycles, while messy, missing, or siloed data adds time and complexity — affecting both analysis and quality of insights.

In some cases, extensive data cleaning or even external data acquisition may be necessary to meet objectives.

Pricing Impact Drivers

• Effort required for data cleaning or structuring
• Availability of real‑time or historical data
• Use of external sources (surveys, scraping, subscriptions)
• Reliance on manual collection or stakeholder interviews

If your data is hard to access, inconsistent, or spread across systems, it can slow down a project and increase costs. Clean, ready-to-use data keeps things efficient. Let’s review where you stand.