
SQL Power DQguru
Data Cleansing & MDM Tool
The SQL Power DQguru helps you cleanse your data, validate and correct addresses, identify and remove duplicates, and build cross-references between source and target tables. This provides business users with complete and accurate data, and a single 360-degree view of all business entities, such as customers, products, representatives, employees, suppliers, or business units.

Features
- Intuitive GUI allows for quick adoption and use by data analysts
 - Intuitive ‘transform’ process interface allows you to rapidly build and deploy data conversion work flows
 - Users can define their own data matching criteria
 - Duplicate verification via SQL Power’s innovative interface
 - Merge duplicates and their related data
 - Can be used for initial or periodic data clean-up
 

- Generates cross reference tables to link source system identifiers to target database identifiers
 - Extensive support for transformation and matching functions:
- Concatenation
 - Double Metaphone, Metaphone, Refined Soundex, Soundex phonetic coding
 - Alphabet case conversion
 - String substitution
 - Substring and substring by word
 - Word substitution through the translation of words or groups of words
 - Merge rules for column, table and related table merges
 
 - Varying levels of data transformation are also supported to help manage the development and execution of data cleansing processes:
- The Match Engine identifies duplicates, storing the results in a target table, without modifying the source data
 - The Merge Engine removes duplicate records from your source data according to the rules you have defined
 - The Cleansing Engine replaces records in your source data with reformatted data as per your rules
 
 - Extensive support for many databases as for source and target data (See System Requirements for a complete list)
 
Whether you’re building a Data Warehouse, Data Mart or CRM, the SQL Power DQguru goes a long way towards ensuring the data integrity of your decision support environment or CRM database.

Comprehensive Match Validation Screen
Matches are described as colour-coded Match Diagrams, as well as highlighted deltas.

Intuitive Transformation Process
The Data Conversion workflow can be manipulated easily by arranging and connecting individual process steps.
