Data Quality : 2011 : April Skip navigation
2011

Hi,

 

I would like to use the PowerCenter Data Validation option to perform data valiation and wanted to know if it is a part of the standard Infromatica 9x package or if we need to purchase any additional licences to use this feature.

 

Any pointers regarding this is highly appreciated.

The Informatica Data Quality Accelerators for Informatica Data Quality 9.0.1 and 9.1.0 is now available.

 

As of April 2011, the following Informatica Data Quality Accelerators are available for Informatica Data Quality versions 9.0.1 and 9.1.0:

  • IDQ Accelerator for United Kingdom

  • IDQ Accelerator for USA and Canada

  • IDQ Accelerator for Brazil

  • IDQ Accelerator for Portugal

  • IDQ Accelerator for Australia and New Zealand

 

Benefits:

 

  • This release is for all customers and prospects and benefits all users working with Data Quality issues related to their locales.
  • Each of these IDQ Accelerators consists of pre-built mappings, mapplets, rules and RTM dictionaries built to solve common data quality problems associated to processing locale specific data. Business name RTM dictionaries, Social National Insurance Number validation rules, and cultural specific matching rules are available within each of these packages.

The Informatica Data Quality Accelerator for Financial Services is available for Informatica Data Quality versions 9.0.1 and 9.1.0.

 

Features of this release:

 

  • First release of the Accelerator for Financial Services.
  • Consists of pre-built mappings, mapplets, rules, and RTM dictionaries built to solve common data quality problems associated with data quality in Financial Services.
  • Includes rules and reference data covering rules associated to securities such as ISIN and SEDOL checks.
  • Includes risk related rules such as rating code, probability of default.
  • Includes broader retail banking rules for customer data such as credit card number validation, UK and USA account number checks.
  • Includes generic rules relating to numeric, string, and date checks common in financial services environments.

 

Benefits:

  • This release offers significant benefits to all customers and prospects and sets the standard for data quality processing of common data quality issues and manipulations associated with financial services data sets.

Filter Blog

By date: By tag: