Case Study
Financial Services Company Migrates Datasets

In today’s fast-paced financial landscape, efficient data management is paramount. A leading financial services firm recently partnered with Metazoa to streamline its data migration processes, resulting in significant time and cost savings. This case study explores how Metazoa’s Snapshot tool enabled the firm to overcome data migration challenges and achieve its strategic objectives.
Financial Services Challenges
The financial services firm struggled with several critical data-related issues:
- Complex Data Relationships: The firm’s Salesforce org contained intricate relationships between various data objects, making data migration a complex and error-prone task.
- Large Data Volumes: With millions of records, traditional data migration methods were slow and inefficient.
- Data Integrity Concerns: Maintaining data integrity during migration was crucial to avoid business disruptions and ensure regulatory compliance.
- Sandbox Seeding: Populating sandboxes with realistic test data for application development and testing was time-consuming and often resulted in incomplete or inaccurate datasets.
Snapshot Solution
To address these challenges, the financial services firm implemented Metazoa’s Snapshot, a comprehensive data migration and management tool. Snapshot offered the following key capabilities:
- Dataset Building: Snapshot’s intuitive interface allowed the firm to easily build datasets from their source Salesforce org, selecting specific parent records and related child objects.
- Efficient Data Migration: Snapshot’s Bulk API support ensured rapid and efficient migration of large datasets between Salesforce orgs.
- Relationship Preservation: Snapshot preserved all internal relationships between data records during migration, ensuring data integrity and consistency.
- External Reference Handling: Snapshot automatically connected external references to matching objects in the destination org, eliminating manual rework and reducing errors.
- Data Transformation: Snapshot’s data transformation features enabled the firm to remap field names and values, ensuring compatibility between different Salesforce orgs.
- Sandbox Seeding: Snapshot facilitated the creation of realistic sandbox environments with complete and accurate data, accelerating application development and testing cycles.
Engagement and Results
The implementation of Metazoa’s Snapshot yielded significant benefits for the financial services firm:
- Reduced Migration Time: Snapshot’s efficient data migration capabilities significantly reduced migration time, allowing the firm to complete projects faster and with fewer resources.
- Cost Savings: By automating data migration tasks and minimizing errors, Snapshot helped the firm reduce costs associated with manual data manipulation and rework.
- Improved Data Quality: Snapshot’s relationship preservation and external reference handling features ensured data integrity and consistency during migration, resulting in higher data quality.
- Accelerated Development Cycles: Snapshot’s sandbox seeding capabilities enabled the firm to create realistic test environments quickly and easily, accelerating application development and testing cycles.
- Enhanced Compliance: Snapshot’s data backup and archiving features helped the firm meet regulatory compliance requirements and protect sensitive financial data.
Key Features Used by the Firm
The financial services firm leveraged several key features of Metazoa Snapshot to achieve its data migration goals:
- Build Datasets: The firm used Snapshot’s “Build Datasets” option to download multiple records in the form of XML files, creating comprehensive datasets for migration.
- Migrate Datasets: The “Migrate Datasets” option enabled the firm to insert and update records from the selected dataset into the destination Salesforce org.
- Manage Datasets: The firm utilized the “Manage Datasets” option to create datasets from CSV files, remap field names and values, and create external IDs.
- Matching Fields: Snapshot’s ability to automatically select common matching fields, as well as manually select matching fields, ensured accurate record matching during migration.
- Scramble Fields: The “Scramble Fields” tab provided an easy way to obscure sensitive data, such as financial information and personal details, in sandbox environments.
- Deactivate Assets: The “Deactivate Assets” tab allowed the firm to deactivate Apex Triggers, Workflow Rules, and Validation Rules in the destination org before data migration, preventing unintended consequences.