NICE Implementation Engagement Model
Use NICE to identify and correct inconsistent and non-standardized data
2-4 weeks of effort to demonstrate NICE specific application with access to customer’s SMEs and limited data set from appropriate sources with knowledge transfer to customer
Testing in customer pre-production environment and sizing/specification of production environment
Continuous reporting and monitoring of data quality metrics with adjustment to rules or data management workflow as needed
Monitor and enforce of data standards and quality criteria across the enterprise.
Data cleansing and rule-based standardization
Identifying and fixing discrepancies and incorrect data.
Reconcile and fix data discrepancies across one or more systems.
Trigger rules and validates on occurrence of business event
Extract, correlate data across multiple systems in support of BI/Analytic functions
Data migration (ETL) and synchronization across systems based on pre-defined rules
Gain access to insights on business operations based on data trends using ML