Data Matching with Different Regional Data Sets

STEFAN FRANCZUK | December 11, 2018

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Data Matching is all about identifying unique attributes that a person, or object, has; and then using those attributes to match individual members within that set. These attributes should be things that are ‘unlikely to change’ over time. For a person, these would be things like "Name" and "Date of Birth". Attributes like "Address" are much more likely to change and therefore of less importance, although this does not mean you should not use them. It’s just that they are less unique and therefore of less value, or lend less weight, to the matching process. In the case of objects, they would be attributes that uniquely identify that object, so in the case of say, a cup (if you manufactured cups) those attributes would be things like "Size", "Volume", "Shape", "Color", etc. The attributes themselves are not too important, it’s the fact that they should be ‘things’ that are unlikely to change over time.

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OpTix Group is a data science company that helps funds and media firms maximize profits and minimize investment risk by accurately predicting future market behavior and providing actionable insights to drive growth. Our technology is developed by an experienced team of data scientist PhDs and C-level industry executives; and is financed by Yale University. At OpTix Group, we build powerful, artificial intelligence algorithms – that employ the most advanced innovations in machine learning; quantitative analysis; statistical modeling; and artificial neural networks. We provide our strategic partners with a comprehensive set of scalable solutions that: de-risk investments; reduce costs; drive media content development & delivery; forecast market demand & sales; determine dynamic pricing; create guided analytics; optimize resource allocations; grow audiences; and generate dynamic data-driven marketing strategies. We dive deep into the vast, swirling ocean of unstructured market data to dec

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