Database Implementation

Marissa Garza

Stakeholder Managemement
Project Manager
Database Administrator
Microsoft Excel
Microsoft Office 365
Microsoft Teams

Project Overview:

I led data migration projects for charitable foundations, transitioning their critical donor, financial, and programmatic data from legacy database systems to modern, scalable solutions. This ensured data integrity, improved reporting capabilities, and streamlined operations for the foundations.

Photo by Alina Grubnyak on Unsplash
Photo by Alina Grubnyak on Unsplash

Key Deliverables & Achievements:

Data Assessment and Mapping: Conducted thorough analysis of existing data structures, identifying redundancies, inconsistencies, and areas for optimization in the new database.

Data Cleaning and Transformation: Cleaned and standardized data to align with the new database requirements, ensuring accuracy and consistency throughout the migration process.

Custom Migration Scripts: Developed and implemented custom scripts to automate the data transfer, minimizing downtime and ensuring a seamless transition.

Data Validation and Verification: Rigorously tested the migrated data to ensure completeness and accuracy, resolving any discrepancies to maintain data integrity.

Training and Documentation: Provided comprehensive training to foundation staff on the new database system, and created detailed documentation for ongoing reference and maintenance.

Benefits for the Foundations:

Improved Data Accessibility: Enabled easier access to accurate, up-to-date data for decision-making and reporting.

Enhanced Reporting Capabilities: Streamlined reporting processes, allowing foundations to generate insightful reports on donor engagement, fundraising performance, and program impact.

Increased Operational Efficiency: Eliminated manual data entry and reduced errors, freeing up staff to focus on core mission-related activities.

Scalable Data Infrastructure: Established a scalable data infrastructure to accommodate future growth and evolving needs.

Reduced IT Costs: Lowered long-term IT costs by transitioning to a more efficient and maintainable database system.

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