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BankSys is a robust, data warehouse-based Management Information System (MIS) purpose-built for banks to centralize and transform operational data into actionable insights. It seamlessly consolidates data from Core Banking, Mobile Banking, Internet Banking, and other disparate systems, providing a unified, up-to-date, and holistic view of all banking activities.
By offering a single source of truth for both financial and non-financial information, BankSys eliminates data silos and enables informed, real-time, and strategic decision-making across all levels of the enterprise.
Integrated Capabilities:
Enterprise Data Warehousing
Real-Time Dashboards
Automated ETL (Extract, Transform, Load) Workflows
Regulatory and Internal Reporting
BankSys empowers banks to achieve greater transparency, agility, and data-driven performance in today’s competitive financial landscape.
BankSys is trusted by leading financial institutions, including national and rural banks, for robust MIS, analytics, and regulatory compliance.
BankSys is a multi-layered framework created to implement an integrated Management Information System (MIS) in banks. It provides a centralized Central Data Repository (CDR) that collects and synchronizes financial and non-financial data from various banking systems, ensuring a single version of truth at all times.
Key Highlights:
Multi-layer architecture for scalability and performance
Integration with CBS, Treasury, CKYC, PFMS, Internet Banking, and NACH
Ready-to-use data models and ETL processes
Comprehensive reporting as per RBI, NABARD, and other regulatory formats
Faster Decision-Making: Access insights from integrated, real-time data—free from silos.
Regulatory Readiness: Automated, timely, and accurate compliance and RBI reporting.
Enhanced Data Quality: Reduced errors through routine cleansing and validation.
Future-Ready Scalability: Quickly adapt as business needs change and data grows.
Comprehensive Coverage: Addresses MIS, BI, and analytics for all banking departments
BankSys uses OLAP (Online Analytical Processing) cubes for multidimensional analysis and faster business insights.
They allow users to slice, dice, drill down, and pivot data efficiently for performance and compliance tracking.
Benefits:
Multidimensional data modeling
Hierarchical structure for Year → Quarter → Month → Day
Fast query performance
Predictive and ad-hoc analysis
Our powerful dashboards provide a consolidated, real-time view of your bank’s performance, offering instant insights for management and operational teams.
Bank at a Glance: Get a holistic view of the entire bank with key metrics like CD Ratio, NPA Percentage, CASA position, and the overall Loans Portfolio.
Financial & Operational Summary: A consolidated view of Account Receivable (A/R), Account Payable (A/P), GST position, Revenue, Claims, and Salary outstanding balances.
Recovery and NPA Focus: Dedicated dashboards for Non-Performing Assets (NPA Profile, Segregation of NPA) and Recovery Position, comparing demand versus actual recovery figures.
Customer & Product Insight: View Customer Classification, Scheme-Wise Loan Distribution, and dedicated dashboards for modules like KCC ISS and CKYC status.
Drill-Down Capability: Easily navigate from the summary dashboard directly to the detailed underlying reports and even the original voucher entry screen for complete transparency and verification.
BankSys is deployed with over 100 comprehensive reports, covering all major departments including Credit, Risk Management, Priority Sector Lending, Statistics, and Retail Banking.
We ensure complete regulatory compliance with reports generated in the specified formats for key banking authorities:
RBI Reports: A full suite of daily, weekly, monthly, quarterly, half-yearly, and yearly reports, including ALM Annexure, OSS statements, CRR/SLR Compliance, Profit & Loss, and all NPA classification reports (NPA-01 to NPA-05) .
NABARD Reports: Generate necessary reports including Form-IX, CC Loan, Term Loan, and KCC Loan reports.
AML & KYC Compliance: Includes Suspicious Transaction Reports (STR), Cross Border Wire Transaction Reports, and CKYC status and validation reports.
Core Operational Reports (Sample)
Deposits & Advances: Branch-wise Deposit Position, Top 20 Depositors/Borrowers, Purpose-wise Loans Outstanding/Disbursement, and Unclaimed Deposit position.
Asset Quality: Detailed Demand, Collection, and Balance (DCB) statements and Period-wise Classification of Overdue accounts.
Daily Monitoring: Daily Recovery Report, Transaction-Wise Report, Head Wise NPA Report, and New Account Open reports for day-to-day governance.
AI Divisions
Our AI ecosystem powers automation, intelligence, and innovation—enabling financial institutions to make faster, smarter, and data-driven decisions.
Forecasting future outcomes and identifying risk trends using advanced machine learning algorithms and financial datasets.
Building AI systems that understand and process human language—enabling chatbots, sentiment analysis, and intelligent document parsing.
Enhancing verification, surveillance, and compliance through image recognition and video-based anomaly detection.
Integrating predictive logic into business workflows to automate approvals, detect fraud, and guide real-time decisions.
Designing LLM-powered systems that produce analytical insights, summarize documents, and assist in financial reporting.
Streamlining repetitive operations through intelligent bots and AI-driven workflows, reducing manual intervention and error.
BankSys integrates data from multiple source systems into one reliable platform using SSIS-based ETL (Extract, Transform, Load) processes. This ensures clean, validated, and near real-time data synchronization across all departments.
Integration from Core Banking, Mobile Banking, ATM, Internet Banking, PFMS, CKYC, AML, and NACH
More than 35 ETL packages used for data transformation and cleansing
Automated daily data refresh with log shipping and cube processing
T+1 data availability for reports and dashboards
Data Collection: Data is sourced from Core Banking, Mobile Apps, ATM, Internet Banking, Investment/Borrowing systems, and other external feeds.
Staging & Cleansing: Extracted data is validated, mapped, and cleaned through automated Microsoft SSIS ETL routines.
Central Repository: The refined data is stored in the BankSys Central Data Warehouse, serving as a single version of truth.
Analysis & Reporting: OLAP cubes and data marts enable multi-level analysis, drill-down, and roll-up views for faster, data-driven decision-making.
