ETI - High Performance Data Integration



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	ETI Data Profiler Accelerates Data Migration for WorkflowOne

ETI DATA QUALITY SOLUTIONS

How many times have you relied on data that is wrong, unreliable, or inconsistent? Data quality is an issue in most organizations as they leverage business intelligence, data warehousing and enterprise reporting systems to enable decentralized decision making. ETI believes that confidence can only be achieved when organizations look deeper into their information using best-in-class data profiling and data cleansing tools.

The ETI Data Profiler™, ETI Data Monitor™ and ETI Data Cleanser™ are designed to work in conjunction with ETI High Performance Connectors to provide ubiquitous accuracy and connectivity.

ETI Data Profiler
The process begins by understanding the form and function of your information assets by using ETI Data Profiler. ETI Data Profiler provides sophisticated analysis to discover the content, structure and quality of data sources before you start your IT project. This includes counts, advanced statistics, pattern recognition, inconsistency identification, anomalies, possible unique key values and data relationships.

ETI Data Monitor
ETI Data Monitor provides a proven way of monitoring the quality of data used in your business processes and applications. Easy-to-configure and deploy, ETI Data Monitor helps remove the hidden business costs attributable to bad data by examining the data quality of vital business processes, applications and IT projects. You can manage your data like any other critical corporate asset and reduce the impact of inaccurate data on your business processes.

ETI Data Cleanser
Once profiling is complete, data quality remediation processes can be built using the ETI Data Cleanser product.

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 for example, is much more effective at matching non-Western names than Soundex, a phonetic based algorithm used in prior generation products. Along with fuzzy logic, ETI Data Cleanser includes algorithms to clean replacement, transposition and semantic errors.

Using ETI Data Cleanser, you can design, manage and deploy cleansing processes that run in line with production systems or offline for batch-based projects. Processes can easily be deployed that parse, standardize, correct, enhance, match and deduplicate data from virtually any source, including unstructured data.

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 to significantly improve throughput.