Independent study commissioned by Experian shows more than half of banks and lenders in three Asia Pacific markets are mindful of making more accurate credit decisions for customers to help them avoid financial hardship.
A new study on credit decisioning and alternative data use conducted by Forrester Consulting on behalf of Experian shows that banks and lenders in Asia Pacific (APAC) are increasingly aware of the critical need to better protect their customers from falling into financial hardship.
With consumers’ growing financial woes amidst the COVID-19 pandemic, it’s apparent that poor credit decisions are negatively impacting customers’ financial situations – more than half (54%) of APAC banks and lenders surveyed in three markets agree that putting customers in a hard situation (54%) is one of the top implications of a poor credit decision, just behind financial loss (60%).
The study, which surveyed 164 banking, fintech, and non-banking lending decision makers managing credit risk in Australia, Indonesia and India, found that while most are confident in their credit risk decisioning performance, the top underperforming area is management of hardships and collections, with 54% agreeing there is room for improvement.
Fortunately, the study also found 80% of organisations are focusing on developing monitoring and early-warning systems as a top risk management priority – and they have plans to continue investing in this area over the next one to three years. This shows that organisations are actively ramping up investment in technology to predict and identify early signs of financial stress, including taking on higher-cost loans, a loss or drop in income, greater reliance on savings, and a shift in spending on high priority items. This enables personalised management plans to be rolled out to support affected individuals through these difficult times.
The Forrester study also highlighted several key trends across these three markets:
- Automation is a critical priority for credit risk management, and consumers are expecting more
Seventy-three per cent of businesses rank increasing automation as a high or critical priority for credit risk assessment and management in the next 12 months, with more than half (52%) saying this is to increase the speed of credit decisions and reduce manual errors in the risk decisioning and management process (50%). However, one third face challenges in increasing the automation of credit decisioning and management, saying their current automation technologies have not matured yet, or they face challenges due to legacy technology and systems (26%).
A higher speed of credit decisioning and quicker loan approval rates could provide a vital lifeline for consumers. In fact, 75% of Australian consumers believe home loan approvals should happen within three days, while 50% expect the approval to take place within 24 hours.
- A broad spectrum of data sources is needed for a holistic view of customers and improving financial inclusion
Improving the use of data and insights in business decision making has emerged as a top priority for businesses (44%) – however, organisations are not leveraging all the data sources available to them. In fact, 34% of respondents agree that their organisation has declined applications from viable customers due to insufficient credit data. To improve risk assessment and management, lenders will continue to leverage more traditional forms of data such as banking or credit bureau data (41%) and tapping on new data sources such as alternative credit data (40%) for credit risk and management over the next 12 months.
Alternative data sources include telco data, consumer data, or e-commerce data, and provide a comprehensive credit profile of a potential customer. In APAC, an estimated half of the adult population do not own a bank account, according to the World Bank in 2018. The use of alternative data means lenders can better assess their customers’ creditworthiness, providing them with critical access to credit which could transform their lives for the better.
Today, Buy Now Pay Later platforms are gaining popularity for providing fast and easy credit to more people. While beneficial for the underbanked, if not carefully monitored, BNPL platforms could put consumers at risk of overextending themselves. Therefore, alternative data is extremely critical in ensuring credit risk assessments are accurate in setting personalised spending limits so that customers spend sustainably and responsibly.
- Banks and lenders are prioritising long-term customer relationships through elevated customer experience (CX)
With more customer interactions happening online, there is less of a focus on reducing cost (23%) and more investment in better engaging customers and building relationships. The study identified improving CX as the one of the most important business priorities (43%), alongside growing revenue (42%). Organisations understand that nurturing strong relationships with customers is essential to build strong brand loyalty – Experian’s 2021 Global Decisioning Report also showed 59% of consumers would give a company more business if they felt that they were treated fairly.
“We’ve seen a shift since the start of the pandemic, where businesses were forced to digitise quickly and focus on immediate concerns such as cutting costs. These companies are now looking at longer term strategies and are focused on addressing existing gaps. Many banks and lenders are investing in the right technology to improve the speed of their credit decisioning, and using automated decisioning, data and analytics to quickly identify customers in distress to provide a more holistic customer experience,” says Malin Holmberg, CEO, EMEA and Asia Pacific, Experian.
Download the Forrester study, “Drive Speed and Accuracy With Emerging Technology and Alternative Data”, to find out more.
Source: Experian Press Release