Tag Archives: data redundancy

Big data challenge: Junk in means junk out

Access to good, quality data is one of the most pressing challenges related to the use of analytics in health care. If you input incomplete or “dirty” data, outputs won’t be reliable. Even the best algorithms in the world won’t work when applied to a distorted source. To ensure you are crunching numbers in a […]
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