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Dun and Bradstreet Risk Analytics - Supplier Intelligence
Use an AI-powered solution for supply and compliance teams who want to mitigate costly supplier risks intelligently.
Risk, procurement, and compliance teams across the globe are under pressure to deal with geopolitical and business risks. Third-party risk exposure is impacted by rapidly scaling complexity in domestic and cross-border businesses, along with complicated and diverse regulations. It is extremely important for companies to proactively manage their third-party relationships. An AI-powered solution to mitigate and monitor counterparty risks on a continuous basis, this cutting-edge platform is powered by D&B’s Data Cloud with 520M+ Global Business Records and 2B+ yearly updates for third-party risk insights. With high-risk procurement alerts and multibillion match points, D&B Risk Analytics leverages best-in-class risk data to help drive informed decisions. Perform quick and comprehensive screening, using intelligent workflows. Receive ongoing alerts of key business indicators and disruptions.
Budse is a simple budgeting tool that implements bucket (or envelope) budgeting. Currently there is a Command Line Interface (CLI) with a Graphical UserInterface in progress. The program includes extras such as transaction searching and reports.
Snidget is a python program which tracks your financial information, in particular your expenses and income. The user adds each transaction on their accounts and snidget can provide reports about how much you're spending. Includes both CLI and GUI.
PyOrganizer is a cross-platform (Python/GTK) personal organizer, with a GUI optimized for the Nokia Internet Tablets (n810, n800, and n700). The financial/budgeting features are now operational, and rudimentary mileage tracking has just been added.
Tracking of hours, goods, project productivity. Easy to use interfaces, Daily reports of what's been done, and what needs doing. If additions need to be made very modular and easy to add new features for job specifics.
A small program in python developed to simulate poker bankroll growth over time depending on money and risk management strategies used. No GUI, user must edit parameters in source file. Outputs to .csv format.