What User-Centric Data Reconciliation Does and Does not Do to Provide Business Value

In an effort to further refine the value proposition of User-Centric Data Reconciliation, below is a list of what it does and does not do:

What User-Centric Data Reconciliation Does:

• Reduces intensive manual efforts to find data
• Provides visibility to disparate data in a correlated, centralized way so that the “big picture” doesn’t have to be assembled piecemeal and manually
• Offers a substitute to creating structured queries or views
• Provides a single user interface for access to the underlying data sources
• Produces side-by-side data for "stare and compare" reconciliation to manage discrepancies without the complexity of building or buying a reconciliation engine

What User-Centric Data Reconciliation Does Not Do:

• Capture complex business rules for clarifying the relationships between discrepant data
• Perform complex calculations on data subsets, such as summing up aggregated fields, etc.
• Automate the reconciliation of data across multiple sources
• Implement a workflow for prioritizing and resolving data discrepancies