
Product Recognition
Engine
Data Cleanser first identifies all duplicate items for elimination, then
crunches thru tens of billions of numeric and character-string comparisons
between Source and Target Systems to find the most likely opportunities for
matching items.

epaCUBE presents all potential matches, ranked by confidence level, for the user to decide which Target item matches the Source item in question. If no exact match can be determined, then the Source item is recognized as new, and workflow guides the user thru processes ensuring that all item information available is accurate, and that all required missing information is identified.
Take advantage of epaCUBE’s browser based architecture to share the
workload, allowing multiple users to operate all over the enterprise - each
working their specifically assigned item groups.
Data Conversion Workflow
All relevant fields from the Source System are identified and established
within epaCUBE. These fields are then mapped to the Target System, a process
ensuring that once an item is matched or identified as new, item data is
edited and corrected. epaCUBE’s Item Completeness Rules ensure that cleansed
Source Data is properly converted to the new format, missing data is input,
and complete item information is transferred to the Target System.
Once all items are matched or identified as new, epaCUBE synchronizes the
Target System with all appropriate maintenance performed on the Source System
since the beginning of the item consolidation process.
The end result is a single Item Master with all duplicate items removed, item
data complete and up-to-date, and a degree of accuracy seldom achieved with
item information.