Finalytica June 2025 – LOAN PORTFOLIO PERFORMANCE KPIs & TRACKING TOOL
Introduction
Effectively monitoring a loan portfolio involves more than just tracking repayments. Financial institutions use a set of critical KPIs to assess credit risk, profitability and overall performance of their loan books.
In this article, we essential KPIs such as CDR/PDs, CPR, recovery of losses, IRR and total return along with how these metrics can be sliced for deeper analysis using tools like Narrator, G-Square’s proprietary BI platform.… Continue reading
Finalytica May 2025 – AI powered Collections models
Background
In today’s rapidly evolving financial landscape collections has emerged as a critical function for maintaining healthy bank and credit card portfolios. Traditional collection methods, heavily reliant on manual processes and rule-based systems are increasingly inadequate for addressing the complexities of modern customer behaviour and economic volatility.… Continue reading
Finalytica Latest Happenings: May 2025
- AI-Powered Financial Advisers Gain Traction Amid Market Volatility
AI-driven advisory platforms like Mezzi and PortfolioPilot are helping retail investors navigate market swings with personalized, data-driven insights as per a report published in the Bay area.. These platforms rely on real-time data and LLMs to simulate advisor interactions, although accuracy and customization remain key concerns.… Continue reading
Finalytica Experiential Learning – Agentic AI for Knowledge Interface
GenAI Agents for Knowledge Interface
Introduction:
There are specialized AI models – each designed to excel at a particular task. These models can write, analyze or even classify documents. These models are like skilled specialists, each performing their particular role with expertise.… Continue reading
Finalytica Latest Happenings: April 2025
- AI-Driven Customer Insights for Financial Services (Gartner)
AI is enabling financial institutions to gather deeper customer insights by analyzing transaction data and behavioral patterns. This article discusses how AI tools are used to predict customer needs, improve personalized offerings, and boost customer retention in the financial sector.