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 –
Every modern organization thinks it’s interoperable—until the data says otherwise. Your systems are technically connected. APIs are firing. Data is flowing. But when you zoom
64% of organizations manage at least 1 petabyte of data and 41% manage at least 500 petabytes. But fewer than half (49%) of data practitioners
Everyone says data is power. But let’s be honest: in most companies, data is politics. It’s locked in tools no one understands, hoarded by teams
76% of business leaders say the ability to access and analyze data in real-time is critical to business performance, but only 33% report having mature
AI can now write essays, generate images, answer questions, and even make predictions. But can it fix your dirty data? Every business leader knows that
In May 2023, Meta Ireland was fined € 1.2 billion ($1.3 billion) – the largest GDPR penalty ever – for violating its data privacy laws.
The cloud is limitless but without clean data, your growth isn’t. Cloud storage provides unmatched flexibility and scale, but it also brings new challenges. One
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
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Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of enterprise data ecosystem without friction.
