dfPower Quality
The intuitive way to improve the quality of corporate information – dfPower Quality allows business users to drive data quality initiatives
dfPower Quality is the DataFlux technology that solves data quality and data integration challenges. dfPower Quality provides DataFlux's patented matching technology, transformation routines and identification logic, helping you to correct data problems across the enterprise.
dfPower Quality allows you to:
- Plan and prioritize a data correction initiatives
- Parse data into components to help identify and resolve problematic data
- Standardize, correct and normalize data
- Verify, validate and improve the overall accuracy of data
Features
dfPower Quality's intuitive interface allows business users to easily build routines to correct duplicate records, non-standard data representations, unknown data types and any other data quality issues.
dfPower Quality Features
| Rationalize |
Create an automatic data rationalization framework to:
- Validate information
- Consolidate similar information
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| Consolidate |
Sophisticated fuzzy matching technology allows you to:
- Consolidate customer records into identifiable customer groups
- Household customer records
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| Match and Link |
Link customer records by:
- Last name and address
- Company name and address
- Phone number
- Any other project-specific fields
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| Standardize |
Automate data standardization processes to help you build more consistent data:
- Utilize out-of-the-box standardization rules
- Customize rules to meet the specific requirements of your data
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| Parse |
Parse data into component parts to:
- Identify individual data elements
- Build the foundation for more complex, high-value data improvement projects
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Data Quality in the Hands of Business Users
Improving the quality of your data allows you to build usable, actionable information that provides an accurate snapshot of your organization's effectiveness. Better data helps you understand your business environment and allows you to maximize profitability and reduce costly operational inefficiencies.