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A Guide to Better Data Quality
What is data quality and why is it important?Data quality is not on the tip of most people’s tongues. Sexier “forward-looking” topics like AI innovation dominate data discussions. But precisely because of the greater precision required for the “sexier” applications of data - data quality is imperative. The output of your data analytics projects is only as good as the data input, meaning that the quality of your data matters. Download this report to understand what is data quality, why is it important and how do you get high-quality data.
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“Data quality is an urgent issue, the most time consuming, the most painful and it slows us down the most. We find that it’s important to detect and surface data quality issues, make them easier to visualise and more transparent, not fix them.” - Rahul Jain, Principal Engineering Manager at Omio
