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Data is a vital asset for modern organizations, providing insights that drive strategic decision making. And the amount of data created, consumed and stored is only increasing. Without proper ...
AI and data are feeding each other — build the right strategy and you’ll unlock smarter decisions, better agility and a real ...
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 ...
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 ...
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If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...
Data quality is important—no doubt about it. But like any new data practice, developing a scalable data quality strategy doesn’t happen overnight. And what you need today may not be what you need ...
C-level executives should also ensure their AI strategies and business goals are well-aligned. Whether the objective is to ...
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.
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. CIOs and CDOs everywhere are busy chasing after AI, but many are getting ahead of themselves ...
DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...
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