Business Data Optimization

DataFlux enables business process management and automation, integrating and extending user-defined rules for data quality and data monitoring throughout the enterprise

Your methods of managing information are essential and unique to your business. DataFlux technology can extend across the enterprise to transform the data that drives your business into clean, accurate and high-quality information. Through every phase of data management – from data discovery through integration, reduplication, data cleansing and enhancement – DataFlux enables business users to create customized, organization-specific business rules that optimize your data for the ways your organization uses it.

  • Data profiling – Inspect data for errors, inconsistencies, redundancies and incomplete information
  • Data quality – Correct, standardize and verify data
  • Data integration – Match, merge or link data from a variety of disparate sources
  • Data enrichment – Enhance data using information from internal and external data sources
  • Data monitoring – Check and control data integrity over time

DataFlux offers solutions that give you a complete and detailed picture of the data that flows through your organization, allowing you to make more informed decisions and transform your company data into a useful asset. This provides a more complete understanding of customers and supply chain while streamlining your interactions in today’s global marketplace.

 
 

Data Ownership and Enterprise Data Management: Implementing a Data Management Strategy

In the third in a three-part series by Mike Ferguson, president of Intelligent Business Strategies, looks at the key components needed to get control of your data.
 

Business Process Automation

DataFlux technology feeds business process automation efforts, allowing you to translate real-time business and data quality rules into business processes already deployed across the enterprise, freeing time and resources and eliminating manual management. DataFlux technology helps you encapsulate data-level rules that manage the collection and governance of corporate information. With DataFlux business process integration techniques, you can convert your data quality and data integration strategies into tangible components within your business processes.

DataFlux technology allows your organization's business processes to become active components of your data infrastructure.

  • Real-time – Deploy business rules throughout the enterprise as web services.
  • Extensible – Work within your existing infrastructure through seamless integration with SAP or other ERP system.
  • User-driven – Empower business users to lead data quality and integration efforts through the intuitive interface.

The Path to Integrated Business Rules Management

With DataFlux, you can integrate your company's data business processes and policies directly within your organization's day-to-day operations. By creating and enforcing business rules, you can include, exclude and enforce relationships between pieces of data to meet conditions specific to your business.

  • Create custom business rules that reflect the way your company actually does business.
  • Incorporate real-time business policies for handling data enterprisewide.
  • Keep data consistent and useful within the context of your company's business operations.

Webcast

Burning Questions on Data Governance: Establish Ground Rules and Business Standards for Quality Information

This Webcast will answer burning questions and provide best practices for an effective data governance initiative.

White Paper

Data Ownership and Enterprise Data Management: Leveraging Technology to Get Control of Your Data

This white paper discusses the benefits of an enterprisewide technology suite and how your organization can leverage this technology to identify and solve various problems associated with a lack of data ownership.

Webcast

The Four Imperatives of Sustainable Data Governance

This Webinar applies TDWI’s Maturity Model to data governance, to plot its maturation milestones, probable potholes and critical success factors on a map that any organization can follow on the course to sustainable data governance.

Webcast

Defining Relevant Metrics for Populating a Data Quality Scorecard

In this webcast, David Loshin from Knowledge Integrity and Dan Soceanu from DataFlux explore ways to qualify data control and measures to support the governance program.