SMEs are seen as the backbone of the economy – they make up 90% of businesses worldwide, and account for 50% of global employment. Supporting SMEs in their operations and encouraging their growth is critical. Despite this, they often have a hard time accessing credit. Traditional lending institutions find it difficult to accurately and quickly assess risk using legacy decisioning solutions, leaving SMEs scrambling to find the funding they need.
How can you accelerate your SME lending strategy? By using advanced technology solutions, like integrated data, automated decisioning, and artificial intelligence and machine learning (AI/ML).
Research shows that 44% of SMEs look for funding simply to meet their operational expenses, while the other 56% look for credit to diversify and expand. Accessing credit quickly can mean the difference between a small business flourishing or floundering. Especially in times of economic uncertainty, powering fast approvals is critical. And not only does it directly help the SMEs grow, it also has a ripple effect – ensuring continued employment for that 50% of the world, and enabling investment in the economy (when people have jobs, they naturally spend more money).