FinAnalyz A Finance Aggregation Platform
FinAnalyz enables Banks and Financial Institutions to transform their lending operations through a robust, API-driven technology stack. As a Lending Tech company, we streamline the entire credit lifecycle—from customer onboarding, KYC, and verifications to underwriting, sanction, disbursement, and loan servicing. Our LOS and LMS platforms help reduce manual effort, improve turnaround time, enhance compliance, and deliver real-time visibility to management. With seamless integrations to Aadhaar, PAN, CKYC, GST, ITR, Bureau, and Account Aggregator, FinAnalyz empowers institutions to scale efficiently, reduce operational costs, and deliver a superior digital lending experience to their customers.
Finanalyz
Comprehensive view of a user’s financial situation
Account connection
The user connects their financial accounts to the platform, which can include bank accounts, credit cards, investment accounts, and more. The platform may use APIs or other integrations to securely connect to the user's accounts.
Data aggregation
Once the accounts are connected, the platform retrieves data from each account and aggregates it into a central dashboard or interface. This can include transaction history, balances, and other relevant financial data.
Categorization
The platform then categorizes each transaction based on the type of expense, such as groceries, rent, or entertainment. This helps users better understand their spending habits and identify areas where they can save money.
Analysis
The platform may provide tools and reports that allow users to analyze their financial data, such as spending trends, income versus expenses, and net worth.
Alerts and notifications
The platform may also offer alerts and notifications for upcoming bills, low balances, or unusual account activity. This can help users stay on top of their finances and avoid late fees or fraudulent charges.
Recommendations and advice
Some finance aggregation platforms may offer personalized financial advice or recommendations based on the user's financial data. This can include suggestions for budgeting, saving, and investing.