When bad data looks right: The hidden risk of automated reporting
The biggest risk with automated reporting isn’t an obviously wrong number. It’s a wrong number that looks completely right.
As businesses automate more of how they collect, process and report information, errors can increasingly pass through systems without attracting attention. By the time questionable data reaches a dashboard or board report, it may have been categorized, calculated and aggregated several times over, giving the final figure a level of credibility the original input never deserved.
Co-Founder and Chief Product & Strategy Officer at Thrive.
The answer is to scrutinise the data much earlier in the process. Rather than relying on checks once a final figure has been produced, technology can help businesses interrogate the quality of data as it enters the reporting process, before an initial mistake has the chance to become an authoritative-looking result.
Building quality into the process
The move away from manual reporting has solved plenty of...
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