Big Data Scoring

Big Data Scoring is a financial technology company that provides a cloud-based credit decision engine for lenders. Founded in 2013, the company is headquartered in Helsinki, Finland, with a global presence. It specializes in helping banks, telecommunications companies, and consumer lenders improve their credit quality and loan acceptance rates by leveraging big data.

The company's core service involves developing and deploying custom credit scoring models. These models combine a lender's traditional internal data with thousands of external data points sourced from non-traditional or alternative sources. This data can include location-based information, web search results, behavioral tracking, mobile device details, and social media activity. By applying proprietary data processing and machine learning algorithms, the platform analyzes this vast amount of information to predict a borrower's payment behavior in real-time.

This approach allows lenders to gain a more comprehensive and accurate assessment of creditworthiness, particularly for individuals with limited or no formal credit history, often referred to as 'thin-file' customers. For these segments, which can include young people, the unbanked, or recent immigrants, the service offers a path to financial inclusion. The automated engine enhances underwriting accuracy, enabling lenders to issue more loans, reduce default rates, and combat fraud more effectively. Big Data Scoring serves a wide range of clients, from large banks and P2P lending platforms to microfinance providers and e-commerce platforms across Asia, Africa, Europe, and America.

Keywords: credit scoring, big data analytics, alternative data, financial inclusion, risk assessment, lending technology, thin-file lending, machine learning, predictive modeling, decision engine, credit risk, consumer lending, fintech, underwriting automation, behavioral data, data mining, credit models, real-time scoring, fraud prevention, loan origination