Spreadym

OCTOBER 3, 2023

Data Analysis: They use data analytics tools and techniques to extract insights from financial data, providing valuable information to support strategic decisions. This includes building pro forma financial statements, forecasting cash flows, and scenario analysis.

Financial Planning and Analysis (FP&A) 59

Financial Planning and Analysis (FP&A) Financial Analysis Budgeting Financial Modeling 59

PYMNTS

OCTOBER 7, 2016

Plati Potom develops post-payment solutions for eCommerce and offline retailers, as well as data analysis and credit risk management tools. One of the main goals of this transaction is to acquire proprietary data analysis and scoring technologies, as well as the team working on the products.

Data Analysis 55

Data Analysis Credit Risk Risk Management eCommerce 55

PYMNTS

DECEMBER 14, 2020

This was a year that bent and broke quite a few risk forecasting models, thus all the more reason to bring AI smarts to bear on transaction volumes scaling far beyond a human pace. Circumstances] have underscored the singular importance of artificial intelligence (AI) in managing credit risk as well as supporting other bank operations.

Credit Risk 87

Credit Risk Data Analysis Banking Forecasting 87

The Finance Weekly

AUGUST 26, 2023

For example, it manages borrower’s credit data and spots early financial signs. This helps lenders proactively tackle credit risks. Also, AI's predictive analysis forecasts borrower defaults and risk levels using data.

Risk Management 52

Risk Management Profit and Loss Currencies Compliance 52

PYMNTS

SEPTEMBER 4, 2019

The Hong Kong Monetary Authority has, as finews.asia reported this past week, amended its credit risk management guidelines in a way that seeks to boost the embrace of analytics when lending to smaller firms. Cash invested on the platform, said the company, stands at $2.7

Cash Management 53

Cash Management Data Analysis Credit Risk Risk Management 53

PYMNTS

JUNE 7, 2018

However, as everyone got down to work – and those ladlefuls of VC dollars stopped dropping dollars into the segment with great frequency – the markets began to thin out. That was the market segment that BlueVine intended to serve, setting their minimum qualifying annual revenue at $50,000.

Invoicing 49

Invoicing Data Analysis Credit Risk Risk Management 49

PYMNTS

JUNE 6, 2018

However, as everyone got down to work – and those ladleful’s of VC dollars stopped dropping dollars into the segment with great frequency; the markets began to thin out. That was the segment, he noted, that Blue Vine entered the market segment thinking they would serve – and set their minimum qualifying annual revenue at $50,000.

Invoicing 40

Invoicing Data Analysis Credit Risk Risk Management 40