Why is expanding analytics capabilities essential for the credit industry?
Posted: Sun Apr 20, 2025 3:38 am
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Institutions have faced challenges in assessing financial profiles due to the scarcity of available information. However, in this scenario, there is still a lot of room for expanding credit analysis capacity .
With the help of technological solutions, such as artificial intelligence (AI), this serious situation can be overcome and continually improved — even in the face of the increase in informal workers, microentrepreneurs and consumers without a formal financial history.
In this article, we will explore how the industry can overcome these obstacles through the key topics below:
The challenge of data scarcity in the credit sector
Why is expanding analytics capacity essential?
How technology helps expand credit analysis
Benefits of expanding credit analysis
The challenge of data scarcity in the credit sector
Even with the advancement of digitalization and the increase in data generated by banking transactions, institutions face difficulties when it comes to thin file profiles — consumers with limited or nonexistent financial history.
In these cases, reliance on traditional information from credit bureaus becomes an obstacle — as this data is not always sufficient to provide an accurate view of consumers’ ability to pay.
Furthermore, many Brazilians have recently netherlands mobile database themselves in the banking system , which makes the analysis even more difficult, as there is no structured financial history available.
Therefore, gaps in data generate negative impacts, such as increased risk of default and even the exclusion of potential good payers.
Why is expanding analytics capacity essential?
Expanding credit analysis capacity is a necessity for your company to remain competitive and inclusive. After all, the scenario is marked by more diversified financial profiles , new consumer dynamics and a challenging economic environment.
With traditional assessment methods insufficient for the situations presented above, expanding analytical approaches allows you to reach new audiences and reduce risks by optimizing your credit portfolio.
Therefore, below we will see how the increasing complexity of financial habits, the exclusion caused by the lack of data and the economic context reinforce the urgency of this transformation.
Institutions have faced challenges in assessing financial profiles due to the scarcity of available information. However, in this scenario, there is still a lot of room for expanding credit analysis capacity .
With the help of technological solutions, such as artificial intelligence (AI), this serious situation can be overcome and continually improved — even in the face of the increase in informal workers, microentrepreneurs and consumers without a formal financial history.
In this article, we will explore how the industry can overcome these obstacles through the key topics below:
The challenge of data scarcity in the credit sector
Why is expanding analytics capacity essential?
How technology helps expand credit analysis
Benefits of expanding credit analysis
The challenge of data scarcity in the credit sector
Even with the advancement of digitalization and the increase in data generated by banking transactions, institutions face difficulties when it comes to thin file profiles — consumers with limited or nonexistent financial history.
In these cases, reliance on traditional information from credit bureaus becomes an obstacle — as this data is not always sufficient to provide an accurate view of consumers’ ability to pay.
Furthermore, many Brazilians have recently netherlands mobile database themselves in the banking system , which makes the analysis even more difficult, as there is no structured financial history available.
Therefore, gaps in data generate negative impacts, such as increased risk of default and even the exclusion of potential good payers.
Why is expanding analytics capacity essential?
Expanding credit analysis capacity is a necessity for your company to remain competitive and inclusive. After all, the scenario is marked by more diversified financial profiles , new consumer dynamics and a challenging economic environment.
With traditional assessment methods insufficient for the situations presented above, expanding analytical approaches allows you to reach new audiences and reduce risks by optimizing your credit portfolio.
Therefore, below we will see how the increasing complexity of financial habits, the exclusion caused by the lack of data and the economic context reinforce the urgency of this transformation.