Strategies for Achieving Data Quality in the Cloud

Data Quality in the Cloud

Previously published in You’ve finally moved to the Cloud. Congratulations! But now that your data is in the Cloud, can you trust it?  With more and more applications moving to the cloud, the quality of data is becoming a growing concern. Erroneous data can cause all sorts of problems for businesses, including decreased efficiency,…

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Why do Data Quality Programs Fail?

Data Quality Programs

Fortune 1000 organizations spend approximately $5 billion each year to improve the trustworthiness of data. Yet only 42 percent of the executives trust their data. According to multiple surveys, executives across industries do not completely trust the data in their organization for accurate, timely business critical decision-making. In addition, organizations routinely incur operational losses, regulatory…

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Enhance AWS Glue Pipeline with Autonomous Data Validation

data management digital transformation

Data operations and engineering teams spend 30-40% of their time firefighting data issues raised by business stakeholders. A large percentage of these data errors can be attributed to the errors present in the source system or errors that occurred or could have been detected in the data pipeline. Current data validation approaches for the data…

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