

TAAMUL CREDIT REVIEW SERVICES
Case Study: Taamul Credit Review Services – Bank Statements Extractor (BSE)
Client Overview: Taamul Credit Review Services specializes in financial documentation, risk review, and credit profiling. To enhance accuracy and efficiency in high-volume financial data handling, Taamul partnered with Yantrikas Technologies to automate one of its most time-consuming tasks, bank statement processing.
Project: Bank Statements Extractor (BSE)
Objective: To automate the extraction, validation, and structuring of financial data from scanned and PDF bank statements, reducing manual effort, improving accuracy, and enabling faster financial decision-making.
Benefits
1. Automation of Manual Data Entry
Eliminates tedious, error-prone manual entry of bank statement data.
Saves significant time and operational cost.
2. Speeds Up Financial Processing
Enables real-time or near-real-time data extraction and storage.
Accelerates accounting, reconciliation, audit preparation, and financial analysis.
3. Intelligent Data Extraction via OCR
Uses Optical Character Recognition (OCR) to handle scanned and image-based PDFs.
Capable of extracting unstructured data from various bank formats accurately.
4. Structured Data Storage
Extracted data is organized into a structured database (SQL, NoSQL, etc.), enabling easy querying, filtering, and reporting.
Ensures consistency across financial records.
5. Improved Accuracy and Data Validation
Reduces human errors with built-in rules or AI models for pattern recognition and validation.
Can flag anomalies or missing data for review.
6. Enables Analytics & Reporting
Makes it easy to generate insights on cash flow, expenses, and transactions.
Integrates with BI tools (e.g., Power BI, Tableau) for dashboards and reports.
7. Enhances Security and Compliance
Securely stores financial data in compliance with regulations (e.g., GDPR, SOX).
Audit trails and access control ensure data integrity.
8. Scalable for Volume
Can process hundreds or thousands of PDF statements from multiple banks automatically.
Supports batch processing and multi-format extraction.
9. Easy Integration
Integrates with ERP, accounting, and CRM systems for seamless data flow.
API-ready for system-to-system automation.
10. Customizable for Business Logic
Can be tailored to extract only relevant data fields like date, amount, narration, account number, etc.
Rules-based filtering for specific transaction types (e.g., income vs. expenses).






