Use the power of Predictive Analytics to automatically identify more than 80% risk in Financial Statement data*    Self Service Cloud Based SaaS Contact us: NuAgeBI Inc. Suite# B240 3080 Olcott St., Santa Clara, CA – 95054 Info@nuagebi.com www.nuagebi.com (408) 410 8238 * NuAgeBI Risk Analytics Workbench can help you identify the remaining risks Are you finding risky general ledger (or in other ERP modules) transactions by:     looking at one risk signature at a time manually setting threshold for identifying risky transactions following up on too many false positive transactions implementing large IT tool and supporting infrastructure (people, process, technology) If you answered “Yes” to any of the above questions then we have the right solution for you. NuAgeBI proprietary solution combines the power of predictive analytics, visual analytics, and rule-based anomaly detection. - Self-service platform removes the complexity of extracting information from disparate sources - Minimizes false positives and identifies high risk transactions - Provide ability to drill down into data and offer actionable insights Review transactions posted to General Ledger 1. Suspicious manual entries 2. Improper revenue recognition 3. Overstatement of assets 4. Understatement of liabilities 5. Identify areas for control issues 6. Early detection of fraud, errors and abuse T&E and P-card analysis 1. T&E duplicate submission 2. T&E fraud and misuse 3. Unusual merchant category code 4. Meals under threshold Procure to pay (spend) analysis 1. Duplicate and erroneous payments 2. Duplicate vendors 3. Vendor terms not utilized A Common Platform for ERP Systems NuAgeBI delivers best in class cloud based advanced predictive analytics for analyzing financial statement level risks. Our proprietary solution combines the power of predictive analytics, visual analytics, and context based anomaly detection. The firm’s platform is the only innovative cloud based platform which acts as a common base in extracting, transforming and standardizing different data domains into one format, thus making the platform available to all ERP systems.