A critical component of every data management ecosystem is an integration of data between systems that receive data from other systems or feed other systems. In any organization, the healthy steady stream of data within and between business systems can ensure robust business process operations. Whether in data migration projects or integration architecture, the Zendeux approach is based on a strong foundation of data quality.
Zendeux understands your business needs and decisions in the area of Data Integration best practices. Within your data integrations are hidden opportunities to increase revenues, reduce costs, facilitate collaboration, and streamline operations. Like all of our engagements, our Data Integration consulting services begin with an Industry Data Management Audit (IDMA), which benchmarks your data management practices compared to practices in your industry. Our MDM experts are experienced in the strategies that enable trust in your master data and decisions, and are skilled in the tools of the Zendeux Data Management Framework, including:
- Source and Target Data Model Analysis
- Source to Target Mapping
- Source Data Quality Assessment
- Data Cleansing and Quality Mitigation
- ETL Design
- Data Integration Governance