Data Ladder vs. Winpure: Comparative Data-Driven Analysis As a provider of data-matching solutions, we recognize that every client’s needs are unique, and our analysis reflects
67% of data and analytics professionals do not fully trust the data their organizations rely on for decision-making. These include data managers, stewards, architects, analysts,
76% of organizations say data-driven decision-making is their top goal for 2025. However, 67% of data and analytics professionals don’t fully trust the data used
Finding patterns is easy in any kind of data-rich environment; that’s what mediocre gamblers do. The key is in determining whether the patterns represent signal
Poor data standardization is a hidden profit killer. When customer names, products, or sales figures appear in different formats across systems (and often even within
With 89% of employees reporting sifting through up to six data sources daily to find relevant information, data sprawl emerges as a major culprit undermining
Introduction The most common data issue that enterprises deal with is that of its quality. You have the right data applications deployed, the sources capture
“You get recessions, you have stock market declines. If you don’t understand that’s going to happen, then you’re not ready. You won’t do well in
An average enterprise – with 200-500 employees – uses about 123 SaaS applications to digitize their business processes. With large amounts of data being generated
Of U.S. healthcare providers have incurred an adverse event within the last two years due to a patient matching issue. Survey from eHI and NextGate
38 percent of U.S. healthcare providers have incurred an adverse event within the last two years due to a patient matching issue. Survey from eHI
In the previous blog The role of data quality in the world of retail, we discussed the role clean data plays in the retail industry
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Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of the enterprise data ecosystem without friction.
