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Data collection and analysis is
an essential part of

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our decision-making process.

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Whether you are a runner using your times
to benchmark for future races,

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or a demand planner projecting future supply trends,

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we all rely on accurate data.

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But did you know that close to 30%

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of the data collected and used
by organizations is inaccurate?

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The reasons may vary, but the results
of poor data quality are often the same;

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wasted resources and additional costs.

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Data cleansing, also known as data
cleaning or data scrubbing, is a process

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of detecting and deleting duplicated data
and identifying

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and improving inaccurate information
inputs.

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It is important for organizations
to have a strategy to regularly cleanse

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their data and maintain the foundations
needed to improve for the future.

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Is your business making the most of its data?