In healthcare, the costs are not merely financial. Incomplete, inconsistent or delayed electronic health records can lead to ...
Barr Moses is the CEO and Co-Founder of Monte Carlo, a data reliability company funded by Accel, GGV, and others. In the last decade, we’ve figured out how to track, collect, store and query data, but ...
Data quality is one of the fastest growing segments in the technology space, according to Experian’s most recent Data Quality Benchmark Report. Experian Data Quality surveyed more than 1,200 ...
Accurate trustworthy data is at the foundation of any modern data initiatives. Those in pursuit of an effective data quality strategy need to think about fostering a data-driven culture with a ...
Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...
Fifty-five per cent of businesses say they are being let down by data quality technology. Joel Curry, MD of Experian Data Quality, explains how to ensure your data quality strategy works Most ...
AI, machine learning, and edge computing may be all around us, and these technology endeavors all have one important thing in common: Their success depends on the quality of the data fed into them.
Unsustainable healthcare costs are driving seismic changes to the way payers do business and are requiring the ability to extract deeper insights from data assets. Unsustainable healthcare costs are ...
From cost reduction to improved efficiency, upholding data quality improves the accuracy of analytics and enhances business decision-making capabilities. However, simply having a data quality ...
The convergence of AI capabilities with mature data governance represents an unprecedented opportunity to make government more efficient and businesses more competitive. The foundations are in place ...
How to create a data integration strategy for your organization Your email has been sent Despite the global digital acceleration of data use cases, many companies still struggle to be data-driven.
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