Alloy dashboard helps stakeholders to find gaps in data
Alloy captures extensive meta data while performing quality runs. It helps to find gaps in data and corporate wide strategies can be planned to complete the data and eventually enrich it.
Alloy dashboard presents quality overview of complete OSDU data set like
Built-in Schema Based Checks
Find out gaps in your meta data based on your schema
This will help you to run quality scan of all your entities without any development and configuration.
Alloy will pick any crucial errors including integrity , patterns , data type and missing of required properties in pre-ingest and post-ingest stage.
Built-in Rules Library
Extend QC scope to produce high quality data
Alloy comes with built-in quality rules derived from PPDM and aligned with the emerging requirements of the OSDU Technical Standard that be used straight away without spending time and resources on development of industry standard business/data rules. Further more corporate specific rules can be added to this library to broaden QC scope
OSDU Data Browser
Data browser shows entity details along with quality runs details
Schemas can be easily configured to be shown in UI to browse the OSDU data platform data. Users can run quality check on complete data set of selected entity or they can drill down to particular record to initiate quality check process.
Quality Check Details
Drill down capability to check quality issues
Our rich user interface will presents detailed report of issues along with overview of entity record and associated quality runs performed. Also time series widget will help to see if quality of this has improved over time.
This will help to plan strategies to fix and enrich data.