Products > DataC – Data Cleansing
DataC - Data Cleansing
Data Quality
Data Cleansing & Enrichment for Finance, Material, BP – Supplier & Customer, Assets – Equipment, Functional Location and Bill of Material.
AI-Led initial data health analysis to see current status of data. Supports as below also -
- Data Imputation - User may fill missing values individually or in mass.
- Match & De-Duplication - AI-Model would recommend duplicate-values and recommends Best-Record with visible criteria.
- Standardization - AI-Model enables applying standardization for data.
- Enrichment - AI-Model does enrichment by recommendations as well as live-web-scraping for Address and Taxonomy, etc.
UX
Easy configurability, No-Code Workflow, Rules Engine, and other new-edge features. Supports Single or Mass processing. Data Sync – Processed data sync back with Source-of-Truth as per Line of Business (LoB).
Artificial Intelligence
Out of box AI-Model provided; Users can create their own AI-Model also; AI engine learns further.
No-Code Automation
Out of the box Rules to support data cleansing & enrichment of various objects. Easy addition of custom Rules with no-code.