contents

software
 
ETI Announces Next Generation Data Quality Tools

Data quality is a well-recognized issue in most organizations and ETI now provides new 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.

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.



write your comments about the article :: 2006 Computing News :: home page