From rule-based segmentation to self-directed AI agents that autonomously explore data, build hypotheses, and surface insights — the shift is happening now across leading financial institutions.
Traditional RFM segmentation misses an entire class of high-potential customer — the ghost flyer. They transact infrequently, score poorly on Recency, yet represent outsized lifetime value. Here's how the RFMC framework surfaces them.
Traditional RFM misses an entire class of high-potential customer. The RFMC framework surfaces them — and changes everything about how you think about loyalty.
A Smart SIP Engine that keeps the discipline of SIPs but tunes allocations weekly using LSTM forecasts and backtests — outperforming plain SIPs by 25–30%.
One framework, ten marketing objectives. Why every digital business should develop, maintain, and monitor RFM regularly.
Using NLP on Twitter data from Airtel, Vodafone, Jio, and Idea to analyse sentiment, robotic vs human responses, and customer care strategy.
Generalists given the responsibility to manage analytics find it very convenient to outsource everything. I've witnessed the gigantic damage first-hand.
Nokia CEO: "We didn't do anything wrong, but somehow we lost." Analytics is neither pure business nor pure technology. It is an art.
A seasoned data scientist with over 24 years of experience developing and leading data-driven decision-making capabilities from the ground up. Having worked across multiple countries, diverse industries, and Fortune® organisations including GE Capital, Vodafone, Reliance Industries, and Ooredoo — I bring a global perspective to complex analytics challenges. My mission: partner with organisations that recognise data as a strategic asset and leverage it to drive transformative growth.