Data Migration and Consolidation

Integrate enterprise resource planning (ERP) systems and consolidate data warehouses and customer relationship management (CRM) systems with a single platform for data migration and consolidation

Organizations have row after row of data sitting in numerous databases on multiple legacy systems. Many organizations have found that with a legacy of only minimal corporate standards guiding the collection of information, these databases have filled with more and more inconsistent data.

Consolidating these systems or migrating data to newer systems is often an essential part of updating and modernizing your company's information infrastructure. But without standardizing and cleansing the data, data migration can mean just moving bad data from one warehouse to another.

When it's time to update your infrastructure and migrate the data to a new system, make sure data quality is an essential part of your plan. Data migration and consolidation can help you:

• Control costs – Accelerate the productivity of your migration team and reduce the overall projection duration
• Mitigate risk – Effectively enable more accurate forecasting and decision-making
• Reduce timelines – Intelligently move data to reduce clean-up times and decrease time-to-market

Data Quality Fully Integrated into Data Migration

DataFlux offers data migration solutions built on industry-leading DataFlux data quality technology. Profiling, cleansing and de-duplicating data before loading it into the new systems creates consistent and useful data after the migration. DataFlux technology allows you to:

• Perform metadata analysis to gain a complete picture of the actual content of legacy systems
• Profile data to understand the structure and completeness of legacy systems
• Incorporate data quality into the process of moving data into more modern systems
• Enforce business rules within the new application to keep high levels of data quality

DataFlux data quality and data integration technology enables:

Enterprise Resource Planning (ERP) System Consolidation

• Integrate multiple ERP systems
• Discover and correct data problems across the enterprise
• Incorporate data quality into ERP systems to make data quality a core business function

Customer Relationship Management (CRM) Consolidation

• Consolidate multiple customer relationship systems
• Cleanse, analyze and enhance customer data
• Introduce data quality as a key customer relationship
• Improve customer data with de-duplication, data standardization and address verification
• Integrate customer data into a single, surviving record

Enterprise Business Intelligence (BI) and Data Warehouse Consolidation

• Introduce data quality into the initial phases of data warehouse consolidation and integrate data quality as an ongoing operational priority
• Ensure high-quality data feeds enterprise BI initiatives
• Allow business users to drive data warehouse consolidation and enterprise BI projects