Data on retail clients has made a significant impact on how banks lend to retail customers. Various information sources such as PAN, Aadhar, and Credit Bureau scores have significantly transformed the process. Cycle times to identify, qualify, verify, and do credit checks on individuals have decreased dramatically.
As a result of the lower cycle times and related costs, there has been a rapid proliferation of retail loans. The current boom we see in retail lending has its origins in ‘good data,’ a journey that began over a decade ago. Retail data has enabled banks to craft products tailored to customer profiles. For instance, data analytics allows lenders to determine the optimal loan size, repayment tenure, and even cross-selling opportunities such as insurance or credit cards.
Furthermore, access to historical data enables lenders to assess risks more accurately. Advanced machine learning models use this data to identify patterns of default and repayment behavior, helping banks refine their lending strategies. This has made retail lending both faster and more secure than ever before.
A Similar Transformation Has Started in Corporate Lending
Much like the transformation witnessed in retail lending, corporate lending is undergoing a similar shift. Today, more than 20 lakh active companies exist, with 6+ lakh already maintaining borrowing relationships with banks and other financial institutions.
These figures are expected to double in the next 5–6 years as the economy grows. While this presents a tremendous opportunity for banks and NBFCs, it also brings significant challenges. Managing the complexity of these relationships demands a data-driven approach.
What’s exciting is how data is beginning to level the playing field for mid-sized and smaller companies. Previously overlooked due to higher risk perception or lack of data, these businesses are now coming into focus as reliable and viable borrowers. With the right data infrastructure, banks and NBFCs can unlock vast untapped potential in this segment.
How Can Banks & NBFCs Benefit Through the Use of Data?
Some banks and NBFCs have already begun leveraging data to transform their operations. Early adopters are proving that data isn’t just a tool; it’s a competitive advantage. From sales identification to credit analysis and monitoring, the impact of data is pervasive and profound.
The number of active companies in India is growing rapidly. To seize this opportunity, banks must use data to identify and qualify potential customers early in the sales cycle. Unlike five years ago, today’s digital ecosystem allows the pre-qualification of prospects with precision.
By analyzing publicly available information, banks can filter out unsuitable candidates and focus their resources on high-potential leads. This pre-qualification significantly reduces the cost of customer acquisition, which has dropped by nearly 90% over the past five years. Moreover, this approach enhances sales team productivity. By focusing on a pre-qualified pool of leads, sales teams can expand their target market efficiently. For instance, identifying high-growth sectors or regions using data can enable targeted campaigns that yield better results.
However, transitioning to this data-driven model is not without its challenges. Many sales teams still rely on traditional, relationship-based approaches. Training and reskilling employees to adopt a data-first mindset is crucial to achieving success.
Faster Credit Analysis & Disbursement
In today’s fast-paced financial ecosystem, speed is of the essence. While analyzing a case thoroughly was once a competitive edge, the widespread availability of data has made speed the differentiator. For instance, in retail lending, personal loans that once took 15 days to process in the mid-90s can now be approved in under 30 seconds. The same principle is beginning to apply to business loans. With more than 50% of borrower information already available in the public domain, lenders can reduce the time required for credit analysis.
In addition, automation of credit analysis processes is becoming quite common. Tools driven by artificial intelligence and machine learning can assess financial statements, payment histories, and other key metrics in minutes. These advancements are cutting hours out of the traditional credit analysis process, allowing lenders to make decisions faster and with greater confidence.
This increased efficiency also translates into higher employee productivity. Teams that once spent days gathering and verifying data can now focus on more strategic tasks, such as customizing financial solutions for clients.
Effective Monitoring
As the number of companies with banking relationships grows, so does the challenge of monitoring them. Businesses leave extensive digital footprints, from financial disclosures to regulatory filings. This data can be a goldmine for banks if used effectively. Regulatory requirements, which mandate the availability of reliable public data, have further strengthened the case for data-driven monitoring. Active monitoring enables banks to detect early warning signs of financial stress, such as declining revenues or delayed tax payments.
However, challenges persist. The multiplicity of data sources, lack of standardized identifiers, and varying levels of credibility among data providers complicate the process. In such cases, investing in technology platforms that aggregate and validate data can be a game-changer. For example, many banks are now using blockchain-based solutions for real-time data verification. These platforms provide a single source of truth, eliminating discrepancies.
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Frequently Asked Questions (FAQs)
1. How is data transforming corporate relationships for banks and NBFCs?
Data enables banks and NBFCs to identify potential customers, perform faster credit analysis, and monitor financial health efficiently. It reduces customer acquisition costs and enhances lending decisions.
2. What role does technology play in data-driven banking for corporate lending?
Technologies like AI, ML, and blockchain streamline credit analysis, automate monitoring, and provide real-time insights, enabling faster and more secure corporate lending processes.
3. How does Probe42 help banks and NBFCs in corporate lending?
Probe42 offers access to verified financial data of 2 million companies, including balance sheets, profit and loss statements, and compliance records, to support due diligence and informed lending decisions.
