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Follow on Google News | Data Ladder Brings Semantic Technology to the Forefront of Data Matching with ProductMatch 2.5Robust Technology Solves Common Data Quality Issues for Many Companies
By: EDK & Company Using semantic technology to resolve incompatibility issues, ProductMatch 2.5 allows companies to standardize, match, and merge unstructured data from various sources. As data quality issues can cause roadblocks for many companies, ProductMatch’ “Discovering semantic meaning at the record level with semi-structured data in an automated fashion is very important. Putting together separate data sources is emerging as a needed business solution, so understanding semantics and context is critical to this function,” said Nathan Krol, founder and president of Data Ladder. “Incompatible data can cost companies millions of dollars in revenue and lost opportunities.” ProductMatch’ -Quickly solves data quality and integration issues -Transforms complex and unstructured data with semantic technology -Finds and defines hierarchical relationships -Automated extraction of attributed data from raw text What sets ProductMatch 2.5 apart is its ability to understand semantic data just as a human expert would. It is specifically designed to uncover the hidden relationships, learn from past experiences with artificial intelligence, and create hierarchical categorization on top of unstructured data. About Data Ladder Data Ladder, headquartered in Cambridge, Massachusetts, is a data quality and data cleansing company dedicated to helping clients get the most out of their data. Working with clients such as Hewlett-Packard, Hoover’s, and Cardinal Health, Data Ladder’s suite of data cleansing services is in use across the Fortune 500 and among many mid-size companies. For more information, please visit www.dataladder.com or call 866-557-8102. End
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