iFactor Pure Analytics relies on advanced data analysis and cutting-edge technologies to provide financial institutions with detailed and relevant information about the current performance and growth potential of a business.

An advanced credit scoring tool represents the foundation of an efficient risk assessment system. It uses machine learning algorithms and artificial intelligence to analyze a wide range of financial and behavioral data.

The need to better understand entrepreneurs’ businesses is amplified by the fact that traditional credit risk assessment models often rely on historical financial data, which may be insufficient in making relevant predictions.

There are some common mistakes that entrepreneurs make that can lead to financial ruin. By utilizing factoring and alternative financing options, you can secure your financial stability and avoid the pitfalls of insolvency.

By leveraging advanced algorithms and data analytics, banks can harness alternative data sources to widen the understanding of the customer’s creditworthiness that consider a wider range of factors beyond traditional credit history.

The relationship between banks and FinTechs is multi-faceted, encompassing partnership, competition, and supplier dynamics. Their collaboration can drive innovation, improve customer experience and shape the future of finance

The year 2024 holds immense potential for entrepreneurs who are willing to adapt, innovate, and strategize. Financial planning, budgeting, forecasting, investment exploration, funding options, are all vital components of a comprehensive financial strategy.

Through the use of Alternative Data Credit Scoring, iFactor has a positive impact on SMEs and on the Business environment in general, increasing the access to finance and promoting a more dynamic financial environment.