We haven't yet implemented Reltio, but have identified gaps in the Census data specific to geographical designations. Our current matching system/application (not full mastering) offers more granular options. Our data analysts and scientists leverage fields like FIPS codes, CBSA and MSA codes as well as Census Block and Tract data.
I know Reltio's 2021.2 release will contain some of those data elements (through Loqate), but we're still gapped on a few areas. The ideal solution is through Reltio/Loqate but I was interested in any in-house built solutions that may be out there.
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Kevin Chorley
Manager, Data & Analytics - Data Governance
Blue Cross North Carolina
NC
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Original Message:
Sent: 04-30-2021 10:02
From: christopher bradley
Subject: Given that business users are demanding detailed Census Data Enrichment, how does Reltio plan to solve this, and/or how are others solving for detailed Census Data Enrichment?
Probably not what you are looking for, but we have integrated census data mainly to identify gender stratification for anti-merge logic for profiles that would otherwise auto merge in with fuzzy logic.
What other demographic information are you thinking of using census data for enrichment?
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christopher bradley
carmax
Original Message:
Sent: 04-30-2021 08:52
From: Kevin Chorley
Subject: Given that business users are demanding detailed Census Data Enrichment, how does Reltio plan to solve this, and/or how are others solving for detailed Census Data Enrichment?
Our business users require (demand) detailed Census Data enrichment that Reltio/Loqate does not offer today. Is anyone solving for that outside of Reltio? How?
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Kevin Chorley
Manager, Data & Analytics - Data Governance
Blue Cross North Carolina
NC
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