Bob Gourley of CTOvision reviews Senzing. Every organization that has data likely has entity resolution challenges- figuring out who is who and what is what in their data.
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Deepak Rangarao of IBM Analytics/Ecosystem reviews Senzing as a guest blogger. He discusses how Senzing can be used to target identity fraud with up to 100,000 records for free.
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John Breeden II reviews Senzing. Senzing makes connections between elements in many databases, including connections with fuzzy data and purposefully false data. Senzing reassesses previous assumptions in real time.
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John Breeden II reviews Senzing. Senzing uncovers fraudulent activity or uncover accidental data duplication for a financial institution. Anyone with a complex data set can uncover fraud with Senzing® software.
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Kyle Wiggers of VentureBeat reviews Senzing. With seeded data from the financial industry, Senzing discovers relationships between people, objects, and metadata with a 97% success rate.
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Venky Rao reviews the Senzing app. He discusses questions that arose during the testing process, his initial thoughts, and the results that the Senzing app discovered from his data.
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