DataFlux

DataFlux is pleased to announce the Version 8 release of its core technology platform, the latest edition of the DataFlux family of data quality and data integration solutions. This release gives you the ability to speed your efforts to achieve the highest levels of data governance, compliance and master data management for your business.

With Version 8, DataFlux introduces DataFlux Accelerators – bundles of pre-built DataFlux workflows and services designed to reduce implementation time by resolving common problems in customer data, product information or regulatory compliance initiatives. DataFlux Accelerators use the same pre-configured workflows provided with our MDM solutions, including the DataFlux CDI Solution, and you can use DataFlux dfPower Studio to customize these workflows to the specific needs of your organization.

Metadata Analysis

DataFlux introduces dfPower Explorer, a component of the dfPower Studio suite that helps organizations analyze metadata within existing applications – and quickly determine which data sources should be part of any data quality or MDM initiative.

Business Rules Monitoring

DataFlux has increased its functionality and flexibility for data monitoring through more robust and configurable dashboard features.

Greater International DQ Capabilities

Version 8 allows you to manage data from an increasing array of languages and geographies, including double-byte languages such as Chinese, Japanese and Korean.

• DataFlux Version 8: Accelerate to Compliance, Data Governance and MDM

  With the Version 8 release of DataFlux core technology, DataFlux takes data quality and data integration to the next level. It helps organizations seamlessly control the quality of source information - and integrate information from complex, disparate data sources onto one single, unified view of the enterprise. This white paper provides an in-depth look at the Version 8 release and how it helps companies accelerate their compliance, data governance and MDM initiatives.
  View Resource »

  

• Five Steps to More Valuable Enterprise Data

  View Now | Read Summary

  Companies worldwide struggle with inconsistent, inaccurate or unreliable data - and often don't know how to build more useful corporate information.  This white paper examines a five-step method for improving your data, using data profiling, data quality, data integration and other methods to find and fix bad data. 
  View Resource »

  

• Data Quality by the Numbers: Best Practices for Managing Business Data

  View Now | Read Summary

  Authored by Robert Lerner, this white paper discusses the impact of data quality on non-name-and-address data (i.e., product data).  It outlines how the DataFlux approach helps improve the quality of product, numeric or other “business” data within an organization.
  View Resource »