Recurrence of
records that refer to same values / entities across different data
bases is a concern in modern data age; as they are not ready for next
level of analysis and criticized for creating noise in the models.
The task of finding or cleaning such tasks are known as
record
linkage, data matching, entity resolution, etc., assumed
importance from past few decades.
One can find
here,
list of few matching software that has both commericial and open
source versions. Still,
TATVA AI finds
its clients’ having appropriate criticisim about data security,
cost, scalability and accuracy.
So, why this is
arising, since, each domian or data bases has its unique proposistion
on data storage and identifiers. They have not been been designed to
cater directly for solving business problems through data science or
for machine learning algorithms, thus, one type of solution will not
fit for different designed data.
Hence,
TATVA
AI suggests clients to exploit the open source technologies to
have custom built for their own needs.
