Mumbai – Rubix Data Sciences Pvt. Ltd. is delighted to announce that it has received the prestigious ETBFSI Exceller Award 2023 in the ‘Best Initiative in Analytics Solution of the Year’ category. The award has been presented in recognition of Rubix’s groundbreaking initiative, ‘SME Income Range Estimation and Financial Ratio Benchmarking.’
The ET BFSI Exceller Awards celebrate outstanding achievements and innovations within the banking and financial services industry, and Rubix is humbled to have been selected for the Award in the field of analytics, amidst very strong competition.
Revolutionising SME Financial Analysis
The ‘SME Income Range Estimation and Financial Ratio Benchmarking’ initiative is designed to address the longstanding challenges associated with providing financial insights about Small and Medium Enterprises (SMEs), particularly those without accessible financial statements. Rubix has developed proprietary algorithms powered by extensive data sources, domain expertise, and advanced analytical modelling to estimate income and other financial metrics for SMEs.
This initiative by Rubix significantly enhances the ability to assess SME creditworthiness and provide risk scores to SMEs when traditional financial statements are not available. This, in turn, facilitates the flow of trade credit and finance to deserving SMEs.
Innovation in Action
This innovative solution addresses the unique challenges pertaining to the credit risk assessment of proprietorships and partnership firms, where regulatory disclosures are very limited and reliable financial information is often elusive. Rubix’s proprietary database comprising over 2 lakh SME profiles is tagged with 5-digit National Industrial Classification Codes and includes data from various structured and unstructured data sources.
Rubix cleans and enriches this data and deploys proprietary financial estimation and risk scoring models to deliver financial insights about SMEs across various sectors.
Rubix is proud of this initiative which will help SMEs access trade credit and finance more easily.
