We recently had a community meetup where users showcased their solutions on identity resolution. In this clip from the event, Jimmy Steinmetz , Co-Founder, Crossroads CX, talks about how they use open source Zingg to identify donors and recipients and bring transparency to campaign funding.
The campaign datasets comprise of machine-readable and manually transcribed human-readable records. Manual transcription is necessary to digitize old, non-digital data, but it also introduces errors and inconsistencies in the data. Digital records also suffer from variations in names, addresses and other attributes which introduce a major challenge against the traditional ways of entity resolution. We hope this talk helps people looking to build identity solutions.