Data profiling and quality
Examine completeness, consistency, formatting, and terminology. Record issues, decisions, and transformations rather than silently changing the source data.
Capability / YouSophia
Data Analytics
Help scientific and regulatory teams prepare, examine, and communicate data with rigor and context.
THE WORK AT A GLANCE
PREPAREBuild a data foundationProfile, clean and document
ANALYZEExamine the questionMethods, tables and visualizations
EXPLAINCommunicate resultsFindings, assumptions and limits
Our focus
From complex data to useful insight
We bring a thoughtful, multidisciplinary approach to the needs of public-sector teams and the people they serve.
01 /
Data quality and curation
Assess completeness and consistency, resolve formatting issues, and document preparation steps.
02 /
Standards and terminology
Support the use and harmonization of relevant study data and health information standards.
03 /
Statistical analysis
Develop reproducible analyses, tables, listings, and visualizations to address reviewer questions.
04 /
Decision support
Communicate patterns, limitations, and findings in formats suited to the audience.
A visual perspective
From data to understanding
These connected elements help frame the work and the people it is intended to support.
01Source data
02Quality and curation
03Analysis and visualization
04Contextualized findings
Illustrative framework; activities depend on mission needs.
The analytics pathway
Make every step of the analysis visible
Useful analytics depend on sound questions, well-understood data, transparent methods, and communication that makes limitations as clear as results.
01 /Define
Agree on the decision context, analytical question, and success criteria.
02 /Curate
Profile data, resolve quality issues, and document transformations and terminology.
03 /Analyze
Apply suitable statistical methods and produce reproducible analytical outputs.
04 /Communicate
Present findings with context, assumptions, and limitations for the intended audience.
In practice
What this work can look like.
Activities are shaped around the mission, the available evidence, and the needs of the people doing the work.
ILLUSTRATIVE OUTPUTS
Quality assessments, data dictionaries, analysis-ready datasets, reproducible code, and visual reports.
01Profile incoming datasets for missing values, inconsistent formats, and terminology issues.
02Create tables, listings, figures, and visual summaries to support scientific review.
03Combine data across studies where appropriate, documenting transformations and assumptions.
A closer look
Analysis that can be understood and revisited
A useful analysis connects the original question to the data, methods, results, and limitations. Documentation and quality checks make those connections visible.
Standards and harmonization
Compare data definitions and formats across sources. Support mapping and harmonization using relevant standards and controlled terminology when appropriate to the work.
Reproducible reporting
Develop documented analytical steps and present results as tables, listings, figures, or visual summaries. Include assumptions and caveats needed for sound interpretation.
Illustrative scenario
Putting the work in context.
A reviewer-facing analysis could start with a defined safety question, profile available datasets, document preparation steps, and produce tables and visualizations for scientific review.