Data Consolidation

DataFlux technology gives business users the ability to create sophisticated business rules to manage data consolidation and integration.

Integrating, upgrading and consolidating your data infrastructure are necessary components of long-term operational and business planning. Whether this means data migration, enterprise business intelligence or consolidating data from multiple business applications, data quality can extend and enhance the effectiveness of these data-driven efforts. With data quality, you can analyze the weaknesses of your data and lay the groundwork for enterprise data governance initiatives within your data infrastructure.

Data Consolidation and Integration Solutions

DataFlux data quality and data integration technology works directly with your data infrastructure, allowing you to include data quality as a fundamental component of any enterprise data infrastructure changes.

  • Profile data to understand the actual content of the data before ETL and ensure that the data brought over is consistent and useful
  • Build data quality directly into your ERP or CRM consolidation projects
  • Create consolidated master records from disparate customer data sources.
  • Consolidate and integrate data within business intelligence environments to enhance the value of data used to make critical business decisions

DataFlux technology gives business users the ability to create sophisticated business rules to manage data integration. These business rules can be extended across the enterprise in real time data quality efforts.

DataFlux Solutions for Data Consolidation

Data Migration Data profiling and metadata analysis can help you understand the actual content of the data before moving data to newer systems, ensuring that the data brought over is consistent and useful.
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ERP Consolidation Building data quality directly into your ERP consolidation projects creates the foundation for better data on customers, suppliers, inventory and assets.
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CRM Consolidation Building consolidated master records out of customer data can reduce customer churn and improve overall customer satisfaction.
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Enterprise BI and Data Warehouse Consolidation High-quality data is the key ingredient to objective, meaningful reports from BI and analytic applications.
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