In the complex world of financial data management, ensuring accuracy, consistency, and timeliness of information is crucial to operational success. A leading global investment management firm partnered with NuWare to address inefficiencies in its data administration processes by implementing the CADIS Enterprise Data Management (EDM) platform.

The initiative aimed to build a “golden copy”, a single, trusted source of truth, across all data domains including securities, positions, benchmarks, and corporate actions. By modernizing its data architecture with CADIS, the client sought to achieve complete data governance, enhanced operational transparency, and faster onboarding of new financial instruments.

The client’s legacy data management framework was highly manual and fragmented, causing delays, inaccuracies, and compliance risks.
Key Challenges Identified:

1. 1.Manual Data Administration: Setting up new securities required significant manual intervention, slowing time-to-market and increasing the risk of human error.
2. 2.Multiple Interfaces and Data Silos: Numerous interfaces were needed to manage the security master and related datasets, leading to duplication and inconsistency.
3. 3.Lack of Centralized Data Governance: There was no unified process to scrub, validate, and load third-party financial vendor data.
4. 4.Compliance and Audit Limitations: Absence of an end-to-end audit trail limited transparency and made it difficult to meet evolving regulatory requirements.

The firm needed a scalable, automated, and auditable platform that could serve as the authoritative data source across systems, streamline vendor integrations, and enhance governance.

NuWare implemented the CADIS EDM platform to establish a centralized, rule-driven data management environment that consolidated all financial data sources, automated validation processes, and enforced enterprise-wide governance.
1. Centralized Data Mastering

• • Deployed CADIS EDM to create and maintain a golden copy of financial data, ensuring data accuracy and completeness.
• • Enabled the capture, scrubbing, and enrichment of data from multiple sources — including prices, positions, trades, corporate actions, and benchmarks.
• • Provided a centralized repository to eliminate redundancy and improve data accessibility across business units.

2. Rule-Based Data Processing

• • Designed custom rules within CADIS for data validation, transformation, and reconciliation.
• • Automated loading and scrubbing of third-party vendor feeds (e.g., Bloomberg, Reuters) to ensure consistency across datasets.
• • Empowered business users to configure data quality rules without direct technology team intervention, promoting agility.

3. Integration and Interoperability

• • Integrated CADIS with upstream and downstream systems, including trading, risk, and compliance applications.
• • Leveraged interconnecting components within CADIS to rationalize data flows and streamline operations across departments.

4. Governance and Auditability

• • Implemented an auditable environment that tracked every change and transaction within the data lifecycle.
• • Provided full transparency for compliance reporting and internal audits, enhancing regulatory readiness.

5. Rapid Implementation and Flexibility

• • Leveraged CADIS’s component-based architecture to deliver quick deployment with minimal disruption.
• • Enabled concurrent configuration, allowing different teams to customize modules simultaneously.

The CADIS EDM implementation delivered a transformative impact across the client’s data management operations, achieving faster processing, higher accuracy, and stronger governance:

1. 1. Drastic Reduction in Manual Effort
   • • Automated data onboarding and validation reduced manual setup time for new securities by over 60%.
2. 2. Centralized Data Repository
   • • Established a unified, enterprise-wide data source supporting multiple business functions and systems.
3. 3. Improved Data Quality and Transparency
   • • Rule-driven data cleansing and reconciliation significantly improved accuracy and reliability.
   • • Enhanced visibility and auditability supported both internal and external compliance requirements.
4. 4. Agility and Self-Service Capabilities
   • • Business users could independently define and modify rules without IT dependency, accelerating response to market and regulatory changes.
5. 5. Cost and Time Efficiency
   • • Component-based architecture reduced both development and implementation time, lowering the total cost of ownership.

Building on the CADIS foundation, NuWare is collaborating with the client to:

• • Expand the EDM platform to cover additional data domains such as client onboarding and risk data.
• • Integrate AI-driven anomaly detection for predictive data quality management.
• • Migrate components to cloud-based EDM frameworks for enhanced scalability and resilience.

These advancements will help the client evolve toward a fully automated, intelligent data governance ecosystem capable of supporting next-generation financial operations.