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Putting a Number on Bad Data

Do you know the costs of poor data quality? Below, I explore the significance of data observability, how it can mitigate the risks of bad data, and ways to measure its ROI. By understanding the impact of bad data and implementing effective strategies, organizations can maximize the benefits of their data quality initiatives.  Data has become […]

Do You Have the Data Behind Your Ideas?

Click to learn more about video blogger Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.”  The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, Data Quality, and so […]

Data Quality Drives a Safer Working Environment for Asset-Intensive Organizations

Click to learn more about author Jeff Kinard. Every organization strives to deliver high-quality data to support and inform better decisions. Ensuring robust data is essential as businesses seek to optimize operational efficiency. Recent research found that 95 percent of organizations see negative impacts resulting from poor Data Quality. When it comes to asset-intensive industries, […]

Three Bad Data Ideas to Avoid

Click to learn more about video blogger Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.”  The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, Data Quality, and so […]

Don’t Let Bad Data Derail Big Data Projects

by Angela Guess Elbert Hearon writes in Datanami, “Big data means that once minute bad data problems now become magnified as big problems that can cause flaws with the very analytical results that were painted as one of the values of big data. As the proliferation of data continues, it is very important for organizations […]