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Data cleansing, fixing spelling errors in customer names, removing deceased individuals from datasets, identifying duplicate records or reconciling inconsistencies are key for high quality data.

Businesses collect and process vast amounts of data, and often overlook the importance of ensuring the data is accurate, reliable, relevant, complete, consistent and timely. For a data-critical sector like insurance, the process of cleaning data to fix inaccuracies, incomplete, duplicate or wrongly formatted records holds valuable benefits.

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Identity Verification with Super and Payroll Data

Establishing real, demonstrable trust in a person’s identity is essential for Australia’s 26.7 million people to transact online safely and effortlessly, levelling the playing field for credit access and fuelling our digital economy.

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