www.1centre.com Open in urlscan Pro
120.138.21.187  Public Scan

Submitted URL: https://d2rkz404.na1.hubspotlinks.com/Ctc/W3+113/d2rkz404/VW0N8P2M6ysnW4_shHm5bg8h9W9fbdmV55WDj7N5t-njz5nXHsW5BWr2F6lZ3l4W5Bp5Qw3dsGpZ...
Effective URL: https://www.1centre.com/credit-assessment-has-been-same-same-for-decades-its-time-for-connectivity/
Submission: On April 25 via api from CA — Scanned from CA

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CREDIT ASSESSMENT HAS BEEN SAME…




SAME FOR DECADES – IT’S TIME FOR CONNECTIVITY!

The financial world has for decades relied on the traditional 5 C’s of Credit to
evaluate the creditworthiness of potential borrowers.

This framework has indeed served its purpose, forming the basis for countless
loan approvals and denials, shaping the financial futures of individuals and
businesses alike.

As we venture into an era characterised by a more complex financial landscape,
innovation and technology that has never been available before, awareness of
data – who has it, how to get it and how to use it – the traditional 5 C’s will
no longer suffice.

The rapidly evolving landscape demands a simpler, and a lot more accurate
approach to credit risk analysis using real time, dynamic data feeds.


FIRST, AN OVERVIEW OF THE TRADITIONAL 5C’S OF CREDIT …


1. CHARACTER

Character refers to a borrower’s reputation or track record for repaying debts.
It’s the lens through which lenders view an individual’s credit history, gauging
the reliability and responsibility of the borrower.

🛑 Limitation: While this can offer insights into past behaviours, it doesn’t
necessarily predict future actions or account for potential changes in a
borrower’s circumstances. Over-reliance on past credit history can potentially
overlook capable borrowers who’ve had past issues but are now in a better
financial position.


2. CAPACITY

Capacity assesses a borrower’s ability to repay a loan by evaluating their
Debt-to-Income (DTI) ratio. It helps lenders estimate whether the borrower can
comfortably handle the financial obligation.

🛑 Limitation: Although the DTI ratio is valuable, it doesn’t provide a complete
picture. Solely relying on it can miss other crucial factors like job stability,
income growth potential, or an imminent expense increase.


3. CAPITAL

Capital examines a borrower’s financial assets and investments. The more capital
a borrower has, the more likely they are to be able to repay their loan, making
them a lower credit risk.

🛑 Limitation: Some borrowers may have considerable capital but also high and
recurring financial obligations. In such cases, their significant capital does
not necessarily equate to low credit risk.


4. COLLATERAL

Collateral refers to assets that a borrower pledges to secure a loan. In case of
default, the lender can seize these assets, decreasing the potential loss.

🛑 Limitation: Although collateral can reduce risk for the lender, it isn’t an
infallible indicator of credit risk. The value of specific collateral can
fluctuate, and liquidating collateral can be time consuming and costly.

These traditional approaches overlook the value of building and maintaining
strong, positive customer relationships, which yield valuable insights and
promote trust.

Our current climate requires credit risk models to evolve. This ensures that
they are more encompassing and factor in more diverse and dynamic criteria.

It’s here that the two new “C”s come into play.


6. CUSTOMER EXPERIENCE

Given the high risk environment, it’s even more crucial that businesses
understand and foster their relationships with customers. This involves
analysing customer interactions, feedback, satisfaction levels, and overall
engagement with the company.

A satisfying customer experience can lead to repeat business, timely payments,
and reduced risk.

Disregarding the importance of customer experience is akin to carelessness. This
argument hinges on three critical factors: customer loyalty, brand reputation,
and profitability.

❤ Customer Loyalty: The foundation of successful businesses is built upon
retaining and nurturing their existing customer base. This is not different for
customers attaining credit. Without attention to customer experience, businesses
risk losing loyal customers to competitors who prioritise their needs and
expectations.

🥾 Brand Reputation: A single negative customer experience can quickly escalate
and damage a brand’s reputation.

On the other hand, consistently positive customer experiences can bolster your
market position as a lender/supplier of choice through word of mouth
recommendations.

💰 Profitability: Studies consistently show a positive correlation between
customer experience and business profitability. Accordingly, a satisfied
customer is more likely to purchase again, spend more, and to recommend the
business to others. On the contrary, a poor customer experience can lead to lost
sales and the additional costs associated with gaining new customers to replace
those lost.

In the context of credit functions, failing to prioritise the customer
experience can mean neglecting valuable opportunities to learn more about
customers, to anticipate their needs and potential credit risks, and build
strong relationships that benefit both parties.

It’s important to remember that the “customer” in this context is the borrower.
Their experience and satisfaction with the credit process can greatly impact
their financial behaviour. This includes their likelihood of repaying debts
quickly and fully.


7. CONNECTIVITY, THAT TIES ALL THE “C”S TOGETHER

Finally, the piece de resistance – Connectivity. In a volatile and ambiguous
world, having up to date, accurate, and comprehensive information is critical.

Connectivity, enabled by technology and automation, helps pull together
disparate data points, perform real time analysis, and generate actionable
insights. This enhanced and interconnected view can better equip suppliers to
anticipate risks, understand customer behaviour, and make informed credit
decisions moving away from ‘static decisioning’ to ‘real time decisioning’.

Technology and automation, denoted here as ‘Connectivity’, don’t simply exist in
isolation. Instead, they create a complex network of data, insights, and
predictive capabilities that interlink and reinforce each of the other “C”s:

1. CHARACTER:

Utilise technological connectivity to amalgamate and analyse diverse behavioural
data points from numerous sources. This provides a deeper, more nuanced insight
into a buyer’s character, extending beyond traditional measures like credit
history.

2. CAPACITY:

Advanced algorithms consider a broader range of financial data, not just
Debt-to-Income (DTI) ratios. This holistic perspective enhances the
understanding of a buyer’s actual capacity to repay debts.

3. CAPITAL:

By leveraging technological connectivity, you can factor in dynamic financial
information beyond static capital measures. Access to real time financial data
provides a more transparent, more accurate picture of the buyer’s ongoing
financial health.

4. COLLATERAL:

Technology allows precise tracking and recording of assets, ensuring that
collateral value is accurately represented and constantly updated.

5. CONDITIONS:

Connectivity can incorporate real time data giving you visibility as context
changes. For example, in trade-credit connectivity, you can set up to be alerted
when critical events happen or change that might increase your risk profile with
a particular borrower.

6. CUSTOMER EXPERIENCE:

Employing technology makes processes more efficient and seriously reduces
friction. Hence it becomes a more pleasant and enjoyable experience for all.
Plugins can open multiple entry points for customers to apply for and be
approved for credit with omnichannel ‘click of a button’ automation.

The principle of connectivity addresses these gaps by facilitating real time
data analysis and interconnectivity. Leveraging technology and automated data
collection allows us to persistently monitor each C. Thus, it enhances the
precision and timeliness of credit risk assessments.

Additionally, connectivity promotes an integrated approach to credit risk,
acknowledging the dynamic interplay among the C’s. It helps us to consider how
changes in external factors could affect a borrower’s capacity or collateral
value, leading to a more sophisticated understanding of risk.


SOLVING THE SHORTCOMINGS, TOGETHER

Admittedly, without the boom of cutting edge technology within our grasp,
orchestrating a seamless customer experience within the credit onboarding
process might have been an insurmountable task.

Yet, with the evolution of technology, we are now equipped to deliver a
“consumer-grade” experience in credit management, mirroring the responsiveness
and personalisation inherent to consumer industries. The path ahead for credit
analysis involves a significant shift: from a solitary process that often
neglects the inherent value of cultivating robust, positive customer
relationships, to one that prioritises and nurtures these relationships.

We must transition from this ‘as is’ state of affairs to a future – a ‘to be’ –
where credit analysis is an interconnected process. This shift marks the
evolution of credit analysis from a single-faceted assessment to a dynamic,
relationship-driven process.

Integrating the focus on customer experience into our modus operandi, we are
driven by the mutual benefits that stem from a comprehensive understanding of
and the ability to cater to our customer’s requirements.

It equips us with a newfound connectivity and immediacy, harnessing the power to
transform credit services into an interactive platform where customers can
assess and grade their experience just as they would with any consumer-grade
service.

This profound focus paves the way for a reimagined credit process, not only
making it more efficient but also more personalised.

--------------------------------------------------------------------------------

Read more below:

> What Enterprises Want From Their Trade-Credit Customer Onboarding Platform

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