Client
Our client is a Silicon Valley-based company specializing in decision science, data management, and analytics. The company delivers software that processes vast amounts of data and adds contextual insights to various business contexts.
Business Challenge
Financial firms are required by regulators, stakeholders, and auditors to provide verifiable evidence and proof of work to justify their pricing and positions. Additionally, market participants need flexible data platforms and tools to adapt to evolving digital transformation and risk requirements. The verification process is often made more complex due to inadequate contextual analysis, time-series analytics, and auditable documentation.
The client simplifies decision-making for financial organizations by helping them manage data and eliminate risks and guesswork associated with financial decisions.
Solution
Coherent Solutions stepped in as an extension of the client’s team to work on their development objectives. In close partnership with the client’s in-house team, we used a reliable technological infrastructure to create a solution that ensures data integrity, reliability, and seamless integration. The data-science platform we developed assists with:
- Monitoring data quality
- Simplifying Profit-and-Loss (P&L) creation process
- Resolving high-impact issues
- Performing root-cause analysis
- Ensuring continuous reliability with trend analytics
Risk Platform
Working with the client’s team, we built an intuitive platform that improves asset fair-value estimation and eases the P&L creation process. It offers scenario and trend analysis, price backtesting, contextual reviews, and audit documentation from various datasets.
Users can monitor data quality metrics and identify high-impact exceptions across internal and external datasets in real time.
- Zero-code interface lets users monitor data quality metrics, identify exceptions, and perform root-cause analysis without extensive coding knowledge.
- Real-time data processing immediately detects and resolves data issues while ensuring continuous data reliability.
- Scalable datasets handle large datasets linked to finance.
- Rich analytics help perform root-cause analysis faster.
This platform offers actionable insights and data-driven decision-making with transparency.
Impact
The client’s platform helps financial organizations navigate complex decisions by integrating deep business context with evidence-driven insights. It allows users to define complex lineage relationships between business workflow events, define complex data quality controls, and create custom datasets in a self-serve model.
Users of this software can use a simplified P&L creation process, apply statistical and time-series analytics, identify signals, and assess financial opportunities and risks—all while gaining reliable, actionable data segmentation for impactful business outcomes.
