BASEL IRB Model
(PD, LGD, EAD)
Big Data Analytics & AI-ML
› Risk Scoring
› CRM Analytics
› Operational Analytics
Digital Lending Platform
P2P Lending Platform
› KYC & AML
› Transaction Fraud
Big Data, Data Warehouse & Data Intergration
- Master Data Management
- Data Warehouse, Planning, Blueprint Design and Roadmap Design
- FSI Data Model
- Data Governance
- Data Integration
Many businesses underestimate the pitfalls that poor Data and governance can create. In search of instant insights, businesses prioritize data access and analysis over data governance and quality.
Since data is the bread and butter of AI, and the quality of that data, directly affects the results of AI, leaders can’t be confident in their AI without first ensuring their data is trustworthy, complete, and consistent.
More than ever, businesses see the potential of data and analytics and are actively investing in new capabilities to uncover hidden insights and become data-driven.
It’s one thing to leverage analytics, but it’s another to build new analytical models with AI and make them available and useful to people to deploy them with trust and transparency.
Advance up the AI ladder, from data to analytics to decisions to AI
Collect and Organize Data
Visualize, explore & analyze data
Predict outcomes. Simulate scenarios
Solve for business goals, resource constraints, and trade-offs
Optimize plans, schedules, actions
Learn, reason, and adapt
Our Notable Clients
Mostly financial services ranging from local to global companies and from traditional to pure digital institutions