DataFlux Data Management Studio: Data Integration

Unify disparate data through a variety of integration methods, including batch, real-time and virtual

The DataFlux Data Management Platform offers data integration capabilities combined with industry-leading data quality and master data management (MDM) technology. DataFlux ensures that your organization will have accurate, high-quality integrated data to drive better business decisions across your organization.

DataFlux Data Management Studio provides users with a single interface for data quality and data integration activities, including the design, navigation and management of data, data integration jobs and workflows. These rules can then be executed via the DataFlux Data Management Server for real-time or batch processing as well as the DataFlux Federation Server for virtual data integration capabilities.

Data integration involves combining processes and technology to allow your enterprise to make the most effective use of disparate, inconsistent data. DataFlux technology supports:

  • ETL and ELT – Extract, transform and load data from multiple sources into a data warehouse, using both traditional batch processing and in-database methods
  • Data migration – Transfer data to new or different locations while improving the accuracy and consistency of data during the migration project
  • Data linking and matching – Match information within or across data sources, standardizing formatting differences

Data Integration with a Data Quality Foundation

An effective data integration strategy can lower costs and improve productivity by enabling consistent, accurate and reliable data across your enterprise. DataFlux technology allows you to:

  • Match, link and consolidate multiple data sources to create the best possible view of a customer, product, supplier, employee or asset
  • Gain access to the right data sources at the right time to spur enhanced decision-making
  • Ensure that high-quality information arrives at new data targets during data migration or consolidation efforts
  • Access your data on virtually any platform during an integration project
  • Increase the quality of your business information before loading it into new systems


White Paper

Data Profiling, Data Integration and Data Quality: The Pillars of Master Data Management

This white paper by David Loshin, published in association with the Business Intelligence Network, shows how data profiling, data integration, and data quality can build a stable framework for master data management.

Customer

Success

Industry-leading Insurance Company Corrects Data to Streamline Legacy Data Migration

DataFlux technology allowed this insurance company to inspect, correct, validate and verify data from a number of sources and create more consistent, accurate and reliable data to for its policy administration system.

Customer

Success

Global Oil and Gas Company Standardizes Product Data to Fuel Global Data Warehouse

With DataFlux, this company achieved a more accurate view of corporate information that could help them make better decisions.