We provide solutions for hundreds of financial clients, including many of the industry’s biggest players, and have been doing so for more than 22 years. We’re more than data scientists with great technology – we’re partners who truly get how you operate your business.
Actionable machine learning insights at your fingertips. Data analytics as a service
Operational risk losses cost financial institutions tens of billions of dollars every year. Common issues include manual processes and data inconsistency across internal systems that produce misaligned results all throughout the trade operations process.
Linedata Analytics Service addresses these challenges and other operational problems with machine learning driven data intelligence for portfolio operations. It cuts through the noise to help you reduce operational risk today and adapt for safer, more cost-effective operations in the future. The Service helps your team benefit from new data insights from across all your systems using AI for capital markets combined with data visualization and backed by Linedata’s two decades of experience.
Linedata Analytics Service delivers easy-to-use, actionable insights, enabled by advanced machine learning models, data sourcing and integration, and secure cloud hosting. Current use cases include:
- trade settlement analytics
- compliance breaches
- cash projections
- and predictive NAV intelligence
Create new benefits for your business with operational insights. Data analytics as a service.
Predict and prevent future events
Linedata Analytics Service derives data driven intelligence for portfolio operations from past issues, business decisions, and relevant industry data and events to help you predict and prevent future problems – saving you time and money.
Gain scalability and cost
certainty
Linedata provides a fully featured cloud solution, so you can scale up quickly as your business grows.
Our consumption-based pricing model means you only pay for the services you need.
Create
internal
data alignment
Our experts collaborate across your internal teams. Data analytics as a service includes model creation and maintenance, and UI support, along with data delivery and integration, so you only have one relationship to manage. Practical insights enable your team to make fundamental changes to improve operations and empower your business.
Experience the value in 5 easy steps
Step 1: Use Case Selection
Use from an existing list of models or bring your own use case.
Step 2: Data Collection and Analysis
We can pull data from Linedata systems and/ or provide your own extracts.
Step 3: Model Development and Testing
Training and regression of AI models.
Step 4: Performance Evaluation
Review model results and assess proof of concept performance.
Step 5: Proof of Concept to Go-Live
Scale up the proof of concept environment for implementation.