CUSTOMER STORY
At National Microfinance Company (NMC), every data point represents a person striving for financial independence. As one of Jordan’s leading microfinance organizations, NMC provides loans and development support to help small entrepreneurs grow sustainably. But as the organization grew, so did the challenge of maintaining speed and accuracy in loan approvals.
The analytics team at NMC was stuck in a cycle of manual and repetitive processes for loan scoring. Each client application requires connecting multiple data sources — Excel files, SQL queries, and internal records — and manually calculating credit scores.
What should have been a data-driven process often relied on subjective judgment and tedious data preparation, slowing approvals and exposing the organization to inconsistent risk assessments. The legacy tools couldn’t scale with NMC’s ambitions or its expanding client base.
Partnering with Neogenesis Technical Solutions, NMC implemented Alteryx to automate its Customer Scoring Model, transforming how the organization evaluates loan applicants.
Using Alteryx workflows, the team integrated data from Excel and SQL, standardized calculations, and eliminated manual review bottlenecks. The new system automatically evaluates factors like loan history, repayment patterns, debt burden ratio, and guarantor analysis.
Additional workflows automated using Alteryx include:
The automated solutions gave NMC’s analytics team a unified, accurate view of client risk, while freeing up time for strategic analysis and program growth.
NMC’s transformation was fast and measurable. Loan decisions that used to take hours now take minutes. The team cut dashboard delivery time by 75%, reduced scoring errors by 40%, and helped operational teams become 20% more productive by automating routine tasks.
Perhaps most importantly, Alteryx enabled more confident, consistent lending — allowing NMC to expand financial services without increasing risk.
Encouraged by its success, NMC is expanding Alteryx adoption across more teams, starting with IT. They’re also exploring AI-powered workflows, including a classification model to predict loan eligibility based on behavioral data.
The goal is to equip every department with smarter, faster tools for data-driven decision-making and deepen the organization’s impact on financial inclusion.
Loan approval time dropped from hours to minutes thanks to automated scoring workflows and instant decision apps.
Objective risk models replaced subjective judgment, reducing error rates and boosting confidence in lending decisions.
With standardized processes and automation, NMC’s analytics team can support more clients and decisions without growing headcount.