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Provenir for Financial Analysis and Risk Rating Simplify and Streamline Financial Analysis and Risk Rating Corporate, commercial and small-to-medium (SME) lending demands extensive financial analysis and risk rating to determine the credit-worthiness of any organization. Lending institutions are bogged down with manual processes for capturing and analyzing essential data to determine accurate ratings. With Provenir, you can take the manual effort out of financial analysis and risk rating. Provenir offers a unified, flexible solution, automatically aggregating data from disparate and unstructured sources, standardizing it into a common financial model and applying the appropriate ratings model to determine quantitative risk ratings. In addition, Provenir enables rule-based qualitative analysis specific to industries and segments for in-depth analysis before determining overall ratings. • • • • • Cut time and costs for data enrichment with pre-built adaptors that automatically consolidate comprehensive financial and company information, including entity relationships and group structures, from any enterprise and third-party data sources. Simplify and streamline risk rating across multiple statement formats, countries and currencies with automated normalization and business-defined financial statement templates. Improve consistency and compliance while reducing risk with scorecards and risk models operationalized in automated risk rating processes. Provenir is modelagnostic so that you can use any third-party model or scorecard developed in industry-standard tools such SAS, R and Excel. Enhance business agility using configuration tools that allow you to quickly create, test and deploy streamlined risk rating strategies. Accelerate deployment with Provenir CloudFirst which offers a highly secure cloud computing environment with flexible options for domain setup, managed services, deployments and scalability. Provenir delivers a complete solution for managing financial analysis and risk ratings for all types of commercial, corporate and SME loans. • Display and access relevant customer information in one location • Upload and reclassify financial statements and maintain financial templates Fraud Checks Bureau Financial Spreading and Analysis •Detailed Quantitative Analysis Application/ Behavioral ScorecardsFAR •Integrate into the loan origination Reporting and Reporting and Reports Integration workflow to complete the end to end process intoIntegration Credit •Generate business specific reports into Credit Workflow in various formats as part of the Workflow FAR process including Simulation Qualitative •Comprehensive qualitative and and peer Analysis based on industry Quantitative Analysis Decision Strategies Models RiskRisk Models Risk Models & Maintenance Maintenance Rating & Rating •Generate and edit risk rating based on risk models configured and maintained •Review historical information related to ratings Provenir for Financial Analysis and Risk Rating Streamline Data Capture and Normalization • • • • • • Pre-built integration adaptors aggregate company, financial and relationship data maintained in enterprise and third-party systems, creating a central hub to view and manage relevant information. Support for multiple data capture options provides flexibility including manual data entry, document scanning and automatic uploading from multiple systems. Business-defined templates for financial statements, such as income statements, cash flows and balance sheets across industries, geographies and languages offer a quick way to capture and validate data. Automated application of businessdefined rules standardize the presentation of financial statements captured in multiple formats, languages, currencies, etc. A complete audit trail, including change tracking and version control, ensures the most recent financial statements are used in risk analysis. Robust native reporting simplifies reviewing historical financial data. Data can be sent to external data warehouses and reporting systems. Operationalize Your Risk Analytics • • • Model-agnostic integration allows scorecards and risk models developed in SAS, R and Excel or exported using PMML or MathML to be operationalized in automated risk rating. Easy-to-use wizards import a model, map and validate data in minutes and without any coding. Support for configuring scorecards directly within Provenir or importing third-party scorecards provides implementation flexibility. Contact us at: [email protected] @ProvenirGlobal Provenir Ltd. Improve Risk Rating Efficiency and Effectiveness • • • • • • Rules-driven decisioning applies risk models and scorecards to aggregated financial data to automatically determine a quantitative rating. Dynamically generated questions based on such factors as financial data, industry and region simplify development of qualitative ratings by guiding users through the process. Business rules can be used to combine quantitative and qualitative scores into an overall risk rating. Business-friendly user interface makes it easy to manage risk rating on an ongoing basis, such as viewing previous or historical ratings, modifying ratings, re-rating and transferring risk between related entities. Automated portfolio monitoring can continually assess performance for any aspect of a loan portfolio with early warning indicators identifying potential problems. Spreading capabilities use existing financial data to simulate potential future scenarios for a specified period of time. Increase Business Agility • • • A visual configuration environment provides graphical tools and wizards to quickly implement streamlined financial analysis and risk rating processes. Flexible configuration tools facilitate quick integration with multiple data sources including enterprise and thirdparty systems, websites and social media. Configurable adaptors support quick integration to core banking systems to complete the loan origination lifecycle.