Establishing 'Making it Happen' as a 'Formal & Predictable' Discipline

Data Integration Tools	Master Data Management Tools

Execution-MiH ENCYCLOPEDIA → Vendor- IT Tool Domain → SECTION - Data Management Tools →

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Data Quality Tools

Data Quality tools include a combination of Data Quality Monitoring, Data Searching and Matching, Data Correction & cleansing and Data Augmentation & Enrichment. The key to Data Quality tools is their ability to merge with other tool-sets and provide a seamless utilization of data quality services.

Topics

Data Profiling and Monitoring

Data Quality Tools Data-Profiling Capabilities will include profiling at various levels, identifying the poor quality areas, do single column and multiple column analysis etc... The Data Monitoring capabilities should be able to do batch, transaction and database monitoring with extensive logging and reporting.

Data Searching and Matching

Data Searching and matching is the first step that you take before you cleanse and augment the data. The Searching and matching capabilities should include the N-gram indexing, pattern matching and match-codes etc...

Data Cleansing and Augmentation

Data Cleansing will include de-duping and standardization. Data Augmentation will include extrapolation, aggregations etc...

Data Quality Tools Wizards

Data Quality tools wizards are similar to the ones which are used in DQ capabilities of Data Integration tool sets. They will enable you to create the business rules, central libraries, scheduling of data quality tasks etc..

Collaboration and Administration Support

Collaboration and administration capabilities are generic to any enterprise level tool-set. This includes version management and work-distribution.

Data Quality Tools Integration

Data quality is generally part of a bigger operation and initiative. It needs to be open and should be possible to integrate with a wide set of tools through open application interface and data exchange standards.