Data Flux
DataFlux along with Data Assessment and Cleansing services,
positions the necessary mechanism, Organizational Infrastructure
and Application process necessary to identify and rectify Data
Quality problems in your enterprise database.
These steps include Analysis of existing data, applying the
business rules and validating against the rules. Generating
conformity and non-conformity reports on different categories
and cleansing your data along with assistance on system test of
your application onto the cleansed data.
With four phases of Data Quality namely Define, Assess, Measure,
and Correct. DataFlux ensures that enterprise data are meeting the
quality characteristics required to support business.
When Data Quality is addressed with reasonable application wisdom,
experience and commonsense:
» Increases the success rate of the Data Warehouse Projects; and
» Better decision-making with accurate information.
DataFlux supports any database via ODBC and OLE
connections including text files.
DataFlux Audit
DataBleach Audit provides a health check for dirty or suspect data to find out what problems exist, how much of the data is affected, and to understand any codes and conventions used to input data. Rules, selected from a library of templates, are applied to the data to establish what data conforms to the rules, and to identify exception cases. The results can be reviewed on screen and also exported for off-line review. Rules can be linked together so that the output of one forms the input to the next, and the library of rule templates can be easily extended.
Audit - Key Features
- Sophisticated Rule-based interface to handle any complex validation and exception reporting;
- Customizable data libraries to support reference values; and
- Once defined, audit instructions can be scheduled and re-run.
- Root Cause analysis on Data pollution;
- An Audit Report that documents data issues, causes, resolutions and efforts to cleanse or correct the problem; and
- Recommendations and procedures to better enhance integrity and quality of data.
DataFlux Cleanse
DataBleach Cleans corrects and re-formats any data to any specification. It coordinates the whole cleansing process, breaking it down into structured and efficient steps, which are easily customized.
Data values are broken down into their constituent elements – dealing with patterns, codes and inconsistencies in formatting. Any manipulation, look-ups and substitutions can then be performed easily at this point (including calls to external systems or routines to validate data). Finally, the elements are recombined to the target output formats.
Cleanse Key Features :-
- Efficient, structured process supporting user defined rules;
- Rule-based data cleansing & in-built algorithms for advanced functions;
- Support of cleansing or transformation to new target database(s);
- Once defined, cleansing instructions can be re-run and scheduled; and
- Audit logging to rollback to original state if required.
Cleanse Key Benefits & Deliverables :-
- Flexible, high performance, standards based product;
- Consistent data in a standard format;
- Rapid implementation and immediate results; and
- Eliminates extensive custom coding and one-off manual efforts.
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