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Accelerating Advanced Analytics, AI and Machine Learning with Graph.
The Challenge
The Challenge
With multiple case management systems built over the last 25 years using different technologies and different vendors, finding the most recent information about a person was a challenge for the county. There could, for example, be a thousand Joe Smiths in database, each with different phone numbers, different addresses or even different names, and trying to find out “who was who” became a challenge. With families on welfare, sometimes across generations, there might be a mother, father, two or three kids, and a grandmother that may be eligible for federal and state benefits and that was when it started to get complicated. The county realized they needed to not only look at individuals but also at family household relationships of Joe Smith – where he lives, who his parents are, details about his spouse and children, and so on. The county needed to see what benefits they were all getting and determine if anyone was getting double benefits or not receiving the benefits due to them.
The Results
The Results
Being a government organization short on staff and with much to do, the county immediately saw the value of TigerGraph. What would take hours or days, or could not be done at all, was done instantly. With TigerGraph they were quickly able to easily see how individual beneficiaries were connected to each other as a part of a household and across households, in order to consolidate and compute the welfare benefits for individuals and across the household to review potential fraud or abuse.

“TigerGraph allowed us to look at certain characteristics of an individual and then jump instantly to another related individual, answering questions beautifully, which we could not do before,” said Turkenitz.

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