Why Change Required: Donation data collected from multiple sources contained incorrect and inconsistent contact information.
Problem Summary: The client's CRM had poor-quality donor data, which impacted reporting, communication, and fundraising activities. A large-scale data validation and correction process was required to improve data accuracy without disrupting operations.
Business Challenges
Managing and validating 600,000+ CRM records efficiently.
Ensuring correct mapping while re-importing validated data.
Avoiding data loss, duplication, and integrity issues during updates.
Architecture (Before)
Tech Stack: StratusLive (Dynamics 365 CRM), Excel
Hosting: Cloud CRM
Architecture Type: Direct CRM data storage without validation layer
Legacy Summary: Data from multiple sources directly entered CRM without proper validation, leading to poor data quality.
Architecture (After)
Tech Stack: Flowgear, Excel, Power Query, Dynamics 365 CRM
Cloud Integration: Flowgear automation with CRM APIs
Modern Summary: Validated datasets were processed through an automated pipeline before being re-imported into CRM, ensuring structured and accurate updates.
Key Features
Automated export of 600K CRM records
Structured data formatting and mapping
Flowgear-based import automation
Data validation checks before updates
Comprehensive testing framework
Business Value: Improved donor data accuracy and reporting reliability.
Data & Security
Secure data export and import processes
Role-based access for data handling
Data integrity validation before re-import
Compliance with client data governance standards
~70%
Data accuracy improved
~60%
Manual processing effort reduced
600K+
Records processed
Delivery Model & Technologies
Team Size: 5 members
Roles: CRM Developer, Integration Specialist, QA
Duration: 14 weeks
Methodology: Agile with iterative validation
Technical Differentiators
Automated large-scale data correction
Zero data loss during migration
Strong validation and testing strategy
Efficient use of Power Query and Flowgear
Project Overview
Existing System: Multiple disconnected business systems
Why Change Required: Manual data synchronization caused delays, inconsistencies, and reporting gaps.
Problem Summary: The client required seamless integration between CRM, marketing, ERP, and e-commerce platforms to maintain consistent business data.
Business Challenges
Data synchronization across multiple systems.
Maintaining consistency between CRM, ERP, and marketing platforms.