Data Integration

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

DataFlux technology offers an industry-leading platform that fully unifies data quality and data integration, enabling integrated data that is high-quality, accurate and reliable. With the DataFlux Data Management Platform, users can analyze the integrity of the data within any application and integrate data from across a heterogeneous environment.

DataFlux data integration technology provides a single, unified platform that enables:

• Extract, transform and load (ETL) and extract, load and transform (ELT) approaches to data migration
• Real-time and service-oriented architecture (SOA)-based data integration
• Data federation to aggregate information from multiple sources into a single, virtual view

Real-Time Data Integration

Disparate, disjointed data can jeopardize enterprise resource planning (ERP), customer relationship management (CRM), data warehousing, business intelligence or any other initiative that relies on accurate data drawn from multiple sources. An effective data integration strategy can lower costs and improve productivity by promoting consistent, accurate and reliable data across your enterprise. Data integration enables you to:

• Match, link and consolidate multiple data sources together 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
• Verify that high-quality information arrives at new data targets during data migration or consolidation efforts
• Access your data on any platform during an integration project
• Increase the quality of your business information before loading it into new systems

DataFlux has combined its core data management capabilities into an integrated data quality and data integration platform:

• Real-time, ETL, ELT and data federation techniques to unify disparate data
• Profile data to understand the actual content of the data before integration
• Integrate consistent and useful data
• Build data quality directly into your ERP or CRM consolidation projects
• Create consolidated master records from unique customer data sources
• Consolidate and integrate data within business intelligence environments to enhance the value of data used to make critical business decisions
• Improve data quality when moving data from source to target, correcting inconsistencies and populating the target with the improved data
• Match information within or across data sources, standardize formatting differences and identifying significant information within multi-value fields
• Aggregate customer value by including all transactions or product details for other customers who live at the same address