Data Quality Batch Suite

The Data Quality Batch Suite is the Swiss Army knife of data quality products. It is typically the hub of any cleansing project. You can use the Batch Suite to check customer data quality and cleanse the data fully automatically in most cases. You can also carry out the mass cleansing of non-customer data with the Batch Suite, e.g. to clean-up errors which were detected by the DQ Explorer or reported by the DQ Monitor.

• All the function blocks for checking the customer data quality and automatic cleansing.
• Function blocks to define individual checking rules for non-customer data and to carry out automatic mass cleansing (e.g. of financial, product or order data).
• Special features and properties for the comprehensive organization, simplification, automation and acceleration of the processes and sequences for optimizing and securing the data quality.
   

• easy to learn because of its consistent design and intuitive operation,
• open and flexible because it is freely configurable and can be extended by user functions,
• easily integrated in existing sequences and can be automated,
• user-friendly as a result of extensive user support and ultra-easy parameterizatio

• high-performance through parallelisation and advanced and reliable processes and algorithms.
• Scalable owing to the state-of-the-art client/server architecture - available in four different versions:                                                                                                                                                
  
  from the workstation version for implementing small "cleansing projects" with limited quantities of data at the workstation up to the Enterprise Server for large company-wide cleansing projects in which several employees are involved or very large quantities of data have to be handled and the highest demands of performance, parallelism and integration and automation are made.
   

• Address Analysis and address formatting* 
• Duplicate matching and clustering (e.g. household), data enhancement / data enrichment, compliance check *
• Postal address check *
• Geo- & micromarketing *
• Relocation addresses *
• Bank data check *
• Telephone number check and assignment*
• Data Consolidation
• DQ Scripting for supplementing specific functions
• DQ Reporting for graphic processing of characteristic values for data quality

• Postage rate & mailing optimization *
• Dummy addresses 
• Campaign selection