About 68% of enterprise data goes unleveraged. Why? Because 90% of data is unstructured, making it difficult – if not impossible – to extract actionable
TIBCO (previously known as Tibco Netrics) EBX Match and Merge Add-on and Data Ladder are two powerful tools designed for data matching and deduplication. While
Introduction Data quality is a looming crisis for businesses. At a time when most businesses are aiming to implement digital transformation initiatives, poor data is
Duplicate records in a company’s datasets cause serious roadblocks to business success. 92% of organizations claim to suffer from the nightmare of data duplication. Nowadays,
92% of organizations claim that their data sources are full of duplicate records. To make things worse, valuable information is present in every duplicate that
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
Data cleaning and matching are critical processes for maintaining data integrity and deriving actionable insights from large datasets. This review dives into the advanced techniques
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
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
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
We have delivered data quality solutions to Fortune 500 companies for over a decade. We often come across clients who are confused about how to
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.
