Enabling Financial Institutions to Leverage Data as an Asset
Data is lifeblood for financial institutions—it informs, it protects, it uncovers opportunities. However, when it is voluminous, varied, and interlinked, institutions find that they must rein in their data to a state of singularity, accuracy, and seamless integration. But doing so can be time-consuming and expensive. That is where NIIT Technologies steps in—with an ‘on-demand utility service’ model—a cost-variable reference data management (RDM) solution that includes platform, infrastructure services, and operations.
If Data is the New Oil, Where is the Fluidity?
The current economic environment is highly volatile and demands aligned and centralized financial data to help financial institutions make informed decisions about growth, products, and inherent risk. Another key driver of the need for data quality is regulation—non-compliance stemming from erroneous data can prove to be costly.
If financial institutions are to be more nimble to outpace their competitors, they need to enable data fluidity with seamless flow of clean, consolidated, and accurate data throughout the enterprise. We can enable this with our on-demand Reference Data Management (RDM) solution.
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Tame Your Data with NIIT Technologies
Even as data multiplies beyond the walls of the enterprise, financial institutions face multiple challenges:
- Maintaining dynamic and real-time vendor feeds; exponential increase of different identifier in new fields
- Risk management and compliance reporting
- Disparate reports and lack of unified dashboards
- Lack of accuracy in achieving true risk and counterparty exposure
In order to combat these challenges, we help financial institutions in adopting:
- Centralized reference data management to improve efficiency, security, audit, process controls, and change management
- Strong data governance practices and control on data distribution
- Measures to maintain data quality for effective operations and regulatory reporting
- Effective risk management practices using risk aggregation dashboards that help effectively mitigate counterparty exposure and market risks
Reference Data Management: Available On-Demand
NIIT Technologies provides financial institutions with an ‘on-demand utility service’ model. This is more of a cost-variable solution that includes platform, infrastructure services, and operations.
The solution helps reduce the cost of reference and master data, and enables transformation of inaccurate data into clean, rules-driven, and enterprise-wide useful information. By leveraging our RDM solution, you can:
- Enable a golden copy of data—‘one version of the truth’
- Take charge of ‘error-free’ reporting
- Ensure accurate data and seamless process workflows
- Leverage data for true counterparty exposure
- Drive effective risk and compliance management
Data received as per your data source needs is cleansed and normalized to produce a golden copy of data in which all the users can see accurate and consistent information across the enterprise. With pay-per-use pricing, you can customize reports, charts, and analytics as per your requirements for each asset type. We ensure that the underlying processes and technology remain best-in-class, and agreed service-level agreements and key performance indicators are consistently met or exceeded throughout the duration of the engagement.
Service Adoption Strategy
Our approach is to deliver a scalable, flexible solution that provides cost and operational efficiencies, reduces manual intervention, speeds up the onboarding process, simplifies risk analysis and regulatory reporting, and increases automation. To achieve this, we leverage our deep understanding of RDM business processes, our full maintenance and support capabilities around RDM platforms, and hosting services for data.
- Readiness Assessment: This process is used to evaluate current architecture, align it with future growth plans, and identify constraints for your enterprise reference data architecture. We apply our proprietary methodology, ProcessGymSM and combine this with operations, Lean, Six Sigma and technology experts to conduct a comprehensive evaluation of your enterprise data management processes and technologies. Based on your requirements, the scope of the process is confirmed and a gap analysis is performed. Finally, a full Transformation Strategy and Implementation Roadmap is created based on the analysis and assessment conducted.
- Platform Configuration: We customize the product and database setups, create ‘as-is’ and ‘to-be’ maps through business process reengineering, and provide integration services that include building communication between platform and databases. Our expertise in extract-transform-load (ETL), databases, and integration technologies along with comprehensive user interface design, business intelligence, and testing capabilities, enables us to integrate various data management components on your preferred technology platform.
- Onboarding: We migrate the data, deploy the solution, validate the deployment, and align all the configurations. Post-integration, we configure connectors to the data feeds and then perform user acceptance testing before the go-live stage
- Steady State: We deliver productivity and efficiency gains by building a continuous process improvement roadmap through Six Sigma and Lean initiatives. Several automation initiatives are introduced by building macros in systems and also via straight-through processing.
Delivering More Value
More agility: We enable our clients to seamlessly manage their entire reference data environment:
- ‘On Demand utility service’ with pay-per-use pricing helps deliver data, customized reports, charts, and analytics as dictated by your needs
- A golden copy of data is made available in which all users can see accurate and consistent information across the entire enterprise, at a fixed price
- Both upstream and downstream integration is achieved through our integration services
- More efficiency:We leverage our proprietary framework for continuous improvement, and provide process optimization gains through process reengineering and automation. We also help save significant time and effort with our proprietary tools, framework, knowledge, and experience.