Artificial intelligence (AI) continues its rise to prominence within the business world. The number of companies using AI today and the range of problems AI is being applied to are both increasing ...

Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...

Data quality management is a crucial part of any data integration process. It may be considered the first step to the integration process, as quality data is the key to achieving profitable insights.

Blazent, a leader in IT data quality management, released new findings of its report, The Role of Data Quality Management in Machine Learning and Predictive Analytics, conducted in partnership with ...

Opinions expressed by Entrepreneur contributors are their own. 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 ...

Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them. Image: Sikov/Adobe Stock Data quality assessments have the same goal that data ...

No matter how many times we were told as children to share our things, those lessons don't seem to have translated well into enterprise settings. Departmental assets are often kept as just that: ...

Amidst ever-changing regulatory requirements and hype around the potential of data-driven technologies, demand for better quality data in the financial industry has never been higher. Stuart Harvey, ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...

The journey from data sharing to improved health outcomes is dependent on high-quality clinical data. Without it, it is difficult for providers to make the best clinical decisions possible, and the ...