Cumba Data Viewer (P-300) is a high-performance desktop application for viewing, querying, and analyzing tabular clinical and pharmaceutical data — across every format your workflow demands.
Built from the ground up for clinical and pharmaceutical data workflows.
Open every format clinical and pharmaceutical workflows depend on — from one application.
Designed for laptops, scaled for production data.
Slice your data exactly how you need to — and keep the slice.
Display SAS-style formats as a value overlay — load them from define.xml, sas7bcat, or a format table.
Imprecise floating-point values and SAS missing periods are highlighted on sight.
Effortless column management — even for tables with hundreds of columns.
Run any SQL query against your data — even joining across mixed file formats.
Search the entire dataset for a value or pattern, instantly.
Combine related datasets with first-class CDISC awareness.
Pivot a BDS dataset into one column per TESTCD or PARAMCD.
Frequency and descriptive statistics — at a finger tip.
17 chart types, from classic bar charts to waterfall plots.
Modify a dataset and export the changes to a new file — the original stays untouched.
Easy and fast table comparison — value-by-value, key-aware.
Convert single datasets or entire libraries — and export filtered subsets too.
First-class CDISC Define-XML — codelists overlay your data and metadata travels with the dataset.
Read validation reports from both engines and review issues side-by-side with the data they reference.
A built-in conversational agent with full remote control of the application — ask it to load, filter, transform, or chart.
Browse data living on remote servers via SSH or HTTP(S) — data and transformations stay where they are while the experience feels local.
See every dataset in your OpenStudyBuilder instance, right inside the viewer.
Browse the CDISC Library API and use it as the default source for variable attributes.
Cumba Data Viewer is currently in early access for clinical data professionals. Reach out to learn more or share your thoughts.