Practical guides to preparing data, choosing an analysis, reading results and keeping your data safe
Showing 6 articles
A checklist for getting a clean file into DataScope, plus a plain explanation of Expert Touch: what it costs, what it does, and when a human review is actually worth the credits.
Read articleNo plans, no tiers, no subscription - DataScope runs on a single credit balance. Here is exactly how a project turns into a credit charge, and how to keep the number predictable.
Read articleA practical guide to the four analysis types on DataScope - what each one answers, what it costs to run, and how to pick the right one for the question in front of you.
Read articleWhat a finished DataScope analysis contains, how to read each part, and which questions to ask before you act on a recommendation.
Read articleHow DataScope protects your account and the files you upload, and the few habits on your side that make the biggest difference.
Read articleDuplicates, mixed formats, hidden totals, silent blanks and mislabelled columns: how to spot each one in a spreadsheet in a few minutes.
Read articleSee how an analysis is priced in credits, or walk through what happens after you upload a file.