s
Technology
Case Study 7 -
Integrate MDM Systems while maintaining Independent CRM Platforms of two companies post acquisition​
Business Problem
Integrate MDM systems for two acquired companies, preserve separate CRM systems, ensure seamless integration with zero disruption to downstream operations, connect the integrated MDM with individual CRM systems, retain distinct primary addresses and affiliations, and facilitate a smooth transition from Veeva Open Data to IQVIA One during the integration process.
ProcDNA’s Approach
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Assessment ​
Conduct a comprehensive assessment of MDM and downstream systems for both companies, engaging with Business and IT stakeholders to align on anticipated system changes post-acquisition
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Requirement
Create detailed Requirement document which capture all the business and technical requirement including the changes required in the downstream system ​
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Implementation ​
Design and implement ETL and MDM pipelines to meet specified requirements, followed by comprehensive System Integration Testing (SIT) and User Acceptance Testing (UAT) to ensure the system's robustness and functionality
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Change Management ​
Conduct a thorough analysis and documentation of overall business and field user impacts, communicating findings downstream to facilitate a seamless transition and minimize disruptions
Client Impact
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Data Consistency and Quality
Improved data consistency and quality across the organization, leading to better​ decision-making, reduced errors, and increased trust in data​
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Simplified Data Management
A single MDM system reduces complexity, simplifies data maintenance, and improves data governance
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Faster integration and Adaption
Simplified integration of new data sources and easier adaptation to changing business needs due to the standardized nature of harmonized data
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Improved Integration
Easier integration with other systems and applications due to a single, integrated MDM system, reducing integration challenges and enhancing interoperability
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Legacy System Retirement​
Achieve cost savings by minimizing maintenance and support expenses linked to legacy systems, while concurrently enhancing compliance and governance through alignment with current standards, ensuring steadfast adherence to evolving regulations and data governance requirements

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