Earlier in 2023, we discussed The Importance of Metadata here in the DBA Corner column. And, indeed, metadata is more important than ever before because it helps us to understand our data. Data ...

As artificial intelligence revolutionizes manufacturing, adoption of the technology is still hindered by challenges like data quality, legacy infrastructure and workforce adaptation. Advances in ...

Picture this: You're a business owner struggling with your competitors. Sales are decreasing, and you're not sure why. You start to pay attention to your website and social media channels, analyzing ...

Organizations addressing data quality issues as a strategic operation are positioned to adapt to latest trends and scale their businesses ...

On a recent executive outreach call, a leader from a large enterprise shared how their 120,000 users were actively involved in improving data quality across the organization. Intrigued, I reviewed ...

Unlock AI's true potential with data quality, integrity and governance.

Data quality is often the biggest issue for organizations looking to implement generative AI technologies, according to a new study from AvePoint. The SaaS solutions provider globally surveyed more ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The research finds that data security now leads all modernisation concerns – with nearly seven in ten IT leaders citing it as their biggest source of pressure.

Despite all our technological advancements, data quality remains the grit in the gears of the modern marketing engine. It’s the silent killer of campaigns, the drain on ROI, and the reason your ...