Everyone’s Talking About DaaS, Few Are Ready for It The concept of Data as a Service (DaaS) is having its moment. On paper, it’s easy
Amazon generates 35% of its revenue from data-powered recommendations. Netflix enjoys an 89% retention rate by personalizing every experience using viewer behavior, preferences, and interaction
When AI systems deliver inaccurate or inequitable results, many people immediately assume that something went wrong in the algorithms. Rarely do we look upstream –
In May 2023, Meta Ireland was fined € 1.2 billion ($1.3 billion) – the largest GDPR penalty ever – for violating its data privacy laws.
Imagine walking into the world’s largest library where millions of manuscripts are stored – but there’s no catalog. Somewhere in that sea of information lies
About 68% of enterprise data goes unleveraged. Why? Because 90% of data is unstructured, making it difficult – if not impossible – to extract actionable
Customers expect businesses to know them – completely. However, only 14% of organizations had achieved a 360-degree view of their customers by 2021, according to
Picture this: a thriving eCommerce business prepares for the holiday rush, confident that its marketing campaign will deliver record-breaking results. But as packages roll out,
The global IT services market is on track to nearly double over the next decade, growing from USD 1.40 trillion in 2023 to a projected
Cloud adoption promises to unlock $3 trillion in global business value by 2030. However, as a McKinsey report highlights, many organizations are losing their share
Address standardization is the process of converting address data into a consistent, normalized format by applying parsing rules and validating against authoritative postal databases such
Data matching helps ensure that disparate data sources are accurately aligned, cleansed, and ready for use. And that’s where an effective data catalog becomes essential
