Capture issues at the source
Steward provides extensions to the apps people are already using so they can create new issues by clicking a single button — all without interrupting their workflow.
This allows Steward to report metadata containing the context needed to understand the root cause of the issue so you can resolve it in record time.
Quantify data quality
Data profiling tools only tell part of the story. The issues people identify as they consume data provide a complete picture of what hinders the value of your data.
Steward enables DataOps teams to start measuring data quality from consumers’s perspective — and to better prioritize the issues that matter most.
Wrong or suspicious values (33%)
Wrong format (27%)
Missing values (12%)
Comment or question (17%)
Duplicate values (11%)
Issues due to duplicate values
Issues come from 4 sources
Make good data a team sport
Traditional approaches to data quality put a heavy burden on the curators profiling the data to identify issues, and rely on inefficient chains of communication to capture exceptions.
Steward expands your data quality team to the entire organization, which means issues get solved faster and with fewer distractions.