User-Friendly Interface
Calimere Point’s solution empowers users to define the combination of P&L Attribution factors they wish to interrogate, allowing them to sort values effortlessly and identify the largest exposures with just a few mouse clicks. This user-friendly interface streamlines the process of obtaining the desired information quickly.
Drill-Down Capabilities
The solution allows P&L Attribution to be viewed at various levels of aggregation, from country or enterprise level down to division and desk, and even at the individual trade level. Users can seamlessly drill down from high to low-level information with a single click, pinpointing problems and gaining detailed insights.
The Data Analytics Advantage
Calimere Point’s approach involves easily accessing disparate sources of data, whether it’s legacy COBOL files, batch CSV files, XML messages, big data repositories, or databases. The company’s light-touch approach reduces the demands on IT teams, eliminating the need for expensive and complex data warehouses.
Visual Data Model and Processing
Understanding complex data pathways is made easy with Calimere Point’s visual data model. It provides a clear picture of where data comes from, how it’s cleaned, and where it’s joined, facilitating better decision-making and understanding.
Modular Libraries for Standardisation
Standardising data requires standard processes. Calimere Point’s modular libraries ensure central control, eliminate duplication, and allow for the quick repetition, adjustment, and deployment of logic.
Rapid and Accurate Approach
Calimere Point’s iterative approach ensures rapid and accurate results from the beginning. Data is obtained, examined, and validated early in the process, eliminating the need to wait until waterfall testing to identify issues. The solution is robust and can be automated, saving valuable time.
Dynamic Reporting for P&L Attribution
Calimere Point’s P&L Attribution reporting offers dynamic insights, addressing common issues with data quality. The optimised reporting interface allows users to identify primary factors causing P&L movements quickly through a simple and easy-to-understand interface. Historical performance of all P&L Attribution factors can be tracked through time, providing ongoing monitoring of both current and historical unattributed P&L and unexplained risk factors.