Data quality is a well recognized issue in most organizations and ETI (Evolutionary Technologies International, Inc.), a global provider of data integration solutions, now provides best-in-class data quality tools - ETI Data Profiler and ETI Data Cleanser. These new products extend the functional capabilities of ETI Solution V5 software and ETI High Performance Connectors to provide next generation data quality in a full feature platform offering. 

"On many occasions the ETI customer base has requested help with their data quality issues as they integrate, consolidate and migrate their information," said ETI president and CEO, Ron Baker. "Both ETI Data Profiler and ETI Data Cleanser represent best-in-class products that will help our customers look deeper into their information assets with renewed accuracy and confidence."

The ETI Data Profiler product offers a next generation solution that discovers the content, structure and quality of data sources from the start of an IT project.  This includes counts, advanced statistics, pattern recognition, inconsistency identification, anomalies, unique key values and data relationships.  Using automated discovery and analysis, ETI Data Profiler reduces the total cost of analysis and rework by over 30 percent, dramatically reducing time to value and improving the view into an organization's data assets. Associated data quality improvement actions and activities can then be assigned and tracked through the ETI Data Profiler integrated issue management feature, giving visibility to continuous improvement processes and raising confidence in corporate data assets.

ETI Data Cleanser is designed to tackle "head on" the hardest of all data quality issues - the random nature of many data errors.  Using ETI Data Cleanser, companies can easily discover the "Golden Record" through advanced fuzzy matching technology which is much more effective at matching non-Western names than, for example Soundex, a phonetic based algorithm. Along with fuzzy logic, ETI Data Cleanser includes algorithms to clean replacement, transposition and semantic error types. Processes can easily be deployed that parse, standardize, correct, enhance, match and deduplicate data from virtually any source. ETI Data Cleanser can run in line with production systems or offline for batch-based projects using traditional servers and can also take advantage of grid computing infrastructures, along with 64-bit architectures, to significantly improve throughput.

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