A financial services firm relied on legacy systems to manage its mission-critical customer and operational data. With a goal to modernize its infrastructure, the company embarked on a transformation journey to support modern applications and leverage advanced analytics to drive business processes.

The modernization effort introduced key challenges, such as migrating data. Resolving these issues required the right technology and expertise.

Business Challenges: Migrating Data From a Legacy Database

The organization faced significant challenges transitioning from a legacy database to a modern database solution provided by a different vendor. The company’s top five priorities for the migration included:

1. Data integrity. Ensuring a complete transfer of critical data without any loss or corruption, ensuring data accuracy in the new database.
2. Seamless transition. Minimizing downtime and disruptions to business operations during the migration process.
3. Data transformation. Converting legacy database schemas and structures into formats compatible with the target database’s modern architecture.
4. Operational efficiency. Reducing time and resource consumption by using automated processes.
5. Security assurance. Protecting sensitive customer and business data throughout the migration.

Addressing these challenges required a comprehensive, efficient solution to ensure operational continuity and data reliability.

The Solution: DataVantage’s Modernization Approach

The DataVantage platform modernization solution enabled a seamless, effective, and secure migration process. The implementation included:

1.     Data analysis and preparation. An in-depth analysis of the legacy database was conducted to map key data dependencies, relationships, and business-critical elements. A detailed migration plan was also developed to align source data structures with the target database schema.

2.     Automated data migration. DataVantage’s advanced migration tools were deployed to automate the data extraction, transformation, and loading (ETL) process. Validation scripts ensured data accuracy and integrity throughout the migration.

3.     Schema conversion and optimization. Legacy schemas were transformed into optimized designs compatible with the target database’s modern capabilities. Incorporating performance enhancements into the new solution improved query efficiency and scalability.

4.     Testing and validation. Rigorous testing was performed to confirm data completeness and accuracy after the migration. Plus, parallel runs of both the legacy and modern database were conducted to ensure consistent business operations.

5.     Security measures. Encryption and access controls were implemented to protect sensitive data during transit and storage, maintaining compliance with regulatory standards.

The Results: A Modern Solution With Measurable Results

The financial services firm achieved measurable success in its platform modernization efforts. Five high-value outcomes included:

1.     Successful data migration. DataVantage transferred 100% of the data without any loss or corruption, ensuring integrity and reliability.

2.     Operational continuity. The migration was completed with minimal downtime, allowing uninterrupted business operations for the financial services organization.

3.     Improved performance. The modern database architecture enhanced query processes and resource utilization, significantly improving operational performance.

4.     Future-ready infrastructure. Establishing a scalable and flexible database designed to support advanced analytics and new business applications enabled the organization to handle current and future needs.

5.     Enhanced security. Protecting sensitive data throughout the migration process ensured compliance with industry regulations while mitigating risk.

Swiftly Moving From Legacy Technology to a Modern Infrastructure

By leveraging tools and expertise from DataVantage, the financial services firm successfully transformed its legacy systems into a future-ready infrastructure. The seamless migration process enabled the organization to enhance operational capabilities, improve performance, and unlock new opportunities for growth and innovation with secure data.

About DataVantage

Direct Computer Resources, Inc. is the owner and developer of DataVantage software, leading solutions that help organizations solve complex data management, security and governance challenges. For 40+ years, DataVantage software has supported hundreds of Fortune 500 and Global 1000 organizations with proven technology that now helps businesses navigate the complexities of AI, cloud, and digital transformation.

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Nearly every organization manages sensitive customer data, including personally identifiable information (PII), financial records, and payment details. The data must be secure, but accessible to those who need it.

In one firm, the IT team frequently used data for application development and testing, while prioritizing data security and compliance. Yet managing and securing the data created several challenges.

Business Challenges: Using Secure Production Data for Efficient App Development and Support

The global insurance firm faced three critical challenges when managing and utilizing its data for development and testing. These challenges included:

1.     Ensuring data security. The organization needed to provide reliable copies of production data to application developers and testers—and ensure that the data was secure.

2.     Managing test data. Extracting and subsetting targeted production data to reduce the size and complexity of test data sets was inefficient and time consuming.

3.     Protecting sensitive information. A top priority in all organizations is safeguarding sensitive customer data from unauthorized exposure. Maintaining data security and integrity is critical, and the organization needed to make these processes faster and more effective.

Traditional methods for preparing test data were time-consuming and prone to human error. This resulted in inefficiencies, security vulnerabilities, and  increased operational risks. The organization needed to ensure that data sets were not compromised and accurately represented the production environment.  

The Solution: Using DataVantage Data Masking and Subsetting Capabilities

To address its ongoing data challenges, the organization implemented comprehensive data subsetting and masking utilizing DataVantage customized to the firm’s needs.

The DataVantage solution delivered advanced capabilities to ensure seamless integration with existing workflows while securing the firm’s data. DataVantage features, capabilities, and benefits that solved the organization’s challenges include:

1. Data subsetting. Production data was copied into small, manageable data sets tailored to specific testing requirements. This subsetting process maintained the integrity and relationships of the original data, ensuring relevance to real-world scenarios, while reducing data volume and complexity.
2. Data masking. Sensitive customer data, such as driver’s license numbers, account numbers, and social security numbers, were automatically masked with fictitious but contextually accurate values. The masked data retained the structure, format, and usability required for effective development and testing, while ensuring compliance with data privacy regulations.
3. Process automation. Subsetting and masking processes were integrated into the firm’s workflows. Processes were developed to fully automate subsetting, eliminating manual intervention and ensuring consistent, repeatable processes. Automation enhanced efficiency and allowed the IT team to focus on strategic initiatives rather than repetitive tasks.

The Results: Verifiable Improvements in Multiple Areas

The implementation of the DataVantage data subsetting and masking solution enabled the global insurance firm to achieve measurable improvements across several key areas.

Four high-value business outcomes include:

1. Enhanced data security. Sensitive information was protected from unauthorized access, minimizing the risk of data breaches and compliance violations.
2. Improved operational efficiency. Automating data management tasks reduced processing times, improved workflows, and eliminated errors caused by manual intervention. Small, targeted data sets streamlined development workflows and reduced storage and processing requirements.
3. Realistic testing environments. Developers and others gained access to secure, high-quality, masked data sets that accurately represent production environments, leading to improved application quality.
4. Scalable data management. The DataVantage solution’s scalability allowed the global insurance firm to efficiently handle increasing data demands without incurring additional overhead.

Transforming App Development and Testing Workflows

With the DataVantage subsetting and masking solution, the global insurance firm successfully optimized its application development, support, and testing processes. 

By balancing security, accuracy, and efficiency, the organization established a foundation for innovation while meeting regulatory and operational requirements. The firm is now better positioned to meet current and future data needs for applications.

About DataVantage

Direct Computer Resources, Inc. is the owner and developer of DataVantage software, leading solutions that help organizations solve complex data management, security, and governance challenges. For 40+ years, DataVantage software has supported hundreds of Fortune 500 and Global 1000 organizations with proven technology that now helps businesses navigate the complexities of AI, cloud, and digital transformation.

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