Research & Analysis
RangerIO fits into analysis work before the model: profile large files locally, flag sensitive columns, and prepare approved context for reports, questions, and foundational analysis.
01 / Files reviewed
Column, Quality, Outlier, Location
02 / Information detected
Identifier, Location field, Free-text note, Restricted column
03 / Outcome
Data profiles, questions, and analysis plans without sharing the raw dataset.
A day in the work
A large file arrives from field work or a partner organization, and the first question is what's actually in it before a single query runs.
Structure, coverage, gaps and outliers are mapped locally, so the file is understood before it is shared with anyone.
Participant identifiers, locations and interview text are flagged alongside the columns that carry the analysis value.
Hypotheses, analysis plans and follow-up questions come back from prepared context — not from shipping the dataset.
What you get
A readable picture of what the dataset contains, where it's thin and where it's suspect.
A suggested sequence of questions and methods you can take to the team or the funder.
The lines of enquiry the data will actually support, surfaced early instead of after weeks of work.
Participants and partners keep the confidentiality they were promised, and the analysis still moves at pace.
Explore use cases