It is not uncommon for financial institutions to struggle with advanced credit models today. With antiquated systems and restricted access to data, these institutions often must settle for inefficient analytical engines. It is no surprise that the dependence on traditional data, limited access to alternative data, rigid modelling and human error continue to limit growth, resulting in deficient credit decisioning; all these before regulations are even taken into account.
Data is power, and the freedom to innovate. With India's analytics market expected to reach INR 11,200.42 billion by 2027, financial institutions in the country will become dependent on more data to speed up innovation, deliver unparalleled customer experiences and build the resilience for an ever-erratic credit landscape.
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Rewriting Insurance with Data and Foresight: Lessons from Pramerica's CTO
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