1917: What is Data Quality and How Do You Measure It for Best Results by Sherice Jacob with Neil Patel on Data Standards

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Episode 1917:

Sherice Jacob breaks down the misunderstood concept of data quality, emphasizing that perfection isn't the goal, relevance, accuracy, and consistency are. Through clear steps like data profiling, error management, and adherence to key quality dimensions, she offers a practical roadmap for businesses to improve decisions, customer experience, and ROI.

Read along with the original article(s) here: https://neilpatel.com/blog/data-quality/

Quotes to ponder:

"Data quality is very much a delicate balancing act, juggling and judging accuracy and completeness."

"The first step toward successful integration is seeing where the data is and then combining that data in a way that's consistent."

"Taking the time now to map out what data quality means to your company or organization can create a ripple-effect of improved customer service, a better customer experience, a higher conversion rate and longer customer retention."