Analysis Claims $88.6M Laundered Via Crypto Exchanges


And now, in a new analysis of 2,500 suspected crypto crimes that made use of bitcoin and Ethereum, The Wall Street Journal claimed that nearly $90 million worth of reportedly criminal proceeds have gone through crypto intermediaries in a two-year period. According to its analysis, which it is said only included “a narrow slice of suspected criminal behavior,” $88.6 For years, law enforcement has feared that bitcoin could make money laundering easier.

Answering unanticipated questions: Moving from reporting to true analysis

Insights on Business

This solution gives clients the ability to ask unanticipated questions and move from reporting to true analysis. It seems like just yesterday when complying with regulation was the end goal in itself.

ICC Taps Global Credit Data To Broaden Trade Risk Analysis


The addition of data from Global Credit Data will enhance that risk analysis and visibility for financial institutions (FIs) ahead of the release of the next Trade Register report, expected early next year.

On credit-augmented market risk analysis

Insights on Business

In the current interest rate environment, the pension funds and insurance firms’ appetite for credit-augmented market risk analysis is understandable. How can risk managers, treasury and ALM teams consistently act upon insights they can gain from integrated market and credit risk analysis?

Patent Analysis: Top US Banks Prioritize Payments

CB Insights

The post Patent Analysis: Top US Banks Prioritize Payments appeared first on CB Insights Research. Bank of America, JPMorgan Chase, and Wells Fargo are the three largest banks in the US by assets, with businesses spanning investment services, consumer banking, and merchant services.

Analysis for Success

Independent Banker

This analysis should consider the purpose of accounts, actual or anticipated number and type of transaction activity in accounts, the nature of a customer’s business or occupation, a customer’s location and the types of products and services he or she uses.

CECL methodology – vintage analysis application


Vintage analysis is an allowance for loan lease losses (ALLL) calculation methodology that has been suggested as being the new minimum standard for CECL compliance. If you are interested in an introduction to Vintage Analysis before looking at how it’s applied, read CECL methodology – introduction to vintage analysis. The table below illustrates the usefulness of vintage analysis as a forecasting tool.

The 5 Types of Data Analysis Every Financial Institution Marketer Should Know


The post The 5 Types of Data Analysis Every Financial Institution Marketer Should Know appeared first on Deluxe FI. The old saying “a picture is worth a thousand words” is no less true today than it was decades ago, even though that simple picture has been replaced by myriad types of imagery.

3 Global cash flow analysis tips


However, it is important for institutions to remain disciplined during this growth, all the way down to the global cash flow analysis of a loan. Credit analysis is more challenging with complex borrowers – those with multiple people, businesses, real estate properties, etc.

7 habits of highly effective data analysis


Highly effective data analysis isn’t learned overnight, but it can be learned faster. Here are 7 habits of data analysis I wish someone told me for effectively incorporating, communicating and investing in data analysis geared towards an engineering team.

Lending to nonprofits: Considerations for credit analysis


Therefore repayment analysis needs to be based on unrestricted funds.” Using a streamlined credit analysis for nonprofit borrowers can help provide loan officers with a more accurate assessment of creditworthiness and can consistently measure and document the risk in the borrower.

Looking at New Tech? Don’t Forget the Cost Analysis, Ally CIO Says

Bank Innovation

An old-school cost analysis will do, according to Michael Read More. Banks have been fairly active in tapping into new technologies recently, either through partnerships or with internal innovation groups.

CECL Methodology - Introduction to Vintage Analysis


According to Sageworks whitepaper, “ The Basics of Vintage Analysis ,” vintage analysis accounts for expected losses by allowing an institution to calculate the cumulative loss rates of a given loan pool and in so doing, to determine that loan pool’s lifetime expected loss experience. Vintage analysis is a method of evaluating the credit quality of a loan portfolio by analyzing net charge-offs in a homogeneous loan pool where the loans share the same origination period.

Data Mining for Predictive Social Network Analysis


The post Data Mining for Predictive Social Network Analysis appeared first on Dataconomy. Big Data Data Science Understanding Big Data Data Mining data science predictive analytics python social media Social Network Analysis

Urban FT Joins Financial Health Analysis Project


Urban FT joins other financial services companies including Coastal Federal Credit Union, EverFi, Guaranty Bank, LendStreet, NetSpend and Sunrise Banks as beta partners in the financial health analysis initiative. Digital banking solutions provider Urban FT has joined the Center for Financial Services Innovation in an effort to help the finserv industry better gauge consumer financial health.

Credit2B Launches Real-Time Business Risk Analysis Tool


Commercial credit risk solutions provider Credit2B is rolling out a portal for trade credit suppliers to share and access information about B2B payment experiences in real time. The company said Wednesday (Feb. 14) that it has launched the Credit2B Global Platform, which aggregates data of 250 million businesses across 225 countries, enabling suppliers to access key information about payment experiences, receivables metrics and trade references to analyze trade credit risk.

Frequency Distribution Analysis using Python Data Stack – Part 1


The post Frequency Distribution Analysis using Python Data Stack – Part 1 appeared first on Dataconomy. Data Science Resources Frequency Distribution Analysis Matplotlib Numpy Pandas python

Amazon Kinesis vs. Apache Kafka For Big Data Analysis


The post Amazon Kinesis vs. Apache Kafka For Big Data Analysis appeared first on Dataconomy. Big Data Data Science Amazon Kinesis Apache Kafka aws big data analysis Data Pipeline streaming data

High Performance Big Data Analysis Using NumPy, Numba & Python Asynchronous Programming


Introduction A couple of months ago a client of mine asked me the following question: “What is the faster data structure object in Python for Big Data analysis today?” Big Data Data Science Resources big data analysis Numba Numpy python

Analysis on online gambling mobile use, fraud and more

The Paypers

(The Paypers) iovation has revealed an analysis of the trends that drove online gambling in 2018, including fraud and authentication insights

Checking Analysis: The Betamax of Bank Products

Jeff For Banks

If we did, would we continue to offer Analysis Checking or some variation of it? Because of Reg Q, in place for over 80 years, banks created Business Analysis Checking, where a business earns credits to offset fees based on their balances. Don't think about how it is.

4 Benefits of Frequent Competitive Analysis

Cal Bank Trust

Frequency Distribution Analysis using Python Data Stack – Part 2


This is the continuation of the Frequency Distribution Analysis using Python Data Stack – Part 1 article. The post Frequency Distribution Analysis using Python Data Stack – Part 2 appeared first on Dataconomy.

How to avoid the 7 most common mistakes of Big Data analysis


The post How to avoid the 7 most common mistakes of Big Data analysis appeared first on Dataconomy. Big Data Data Science Data Science 101 Understanding Big Data big data analysis data science Risk Assesment Risk Management

Upload data quickly from QuickBooks Online for financial analysis, valuations


Sageworks’ users can set automatic data refreshes to keep client information up to date, and they can set up an automated narrative financial analysis report to be emailed to them every month for each client using QuickBooks Online, making it easier to share the insight and analysis with the client.

Data Analysis and Machine Learning Causing Evolution in Direct Marketing


The post Data Analysis and Machine Learning Causing Evolution in Direct Marketing appeared first on Deluxe FS. Marketing Insights data analysis Direct Mail Direct Marketing machine learning Trends

Identifying Tax Fraud through Social Network Analysis


Social Network Analysis (SNA) tools hold the potential to help tax and revenue agencies identify non-compliance and tax fraud. Social Networking Analysis Explained. A Social Network Analysis can automatically compare the new registration in real-time to previously closed businesses.

Trend analysis within your Watch List


A trend analysis for the Watch List may be analyzed on a variety of fronts including. A standard component of monthly board meetings is an update on the performance and volume of the institution’s Watch List, the group of adversely classified loans under close supervision due to past nonperformance.

Cash flow analysis: Providing value to business owners


CashSage , for example, is a cash flow analysis solution provided by Sageworks to help business advisors and their clients uncover key business drivers and generate recommendations that will increase cash. CashSage is simple enough that advisors can illustrate to non-finance/non-accounting business owners how they can increase cash, and it works hand in hand with ProfitCents if the advisor wants to go deeper into the financial analysis.

What Our Bank Learned From Customer Text Analysis

Banker to Banker

Last week we pulled everything that was said about banks on social media (Twitter, Facebook, and Instagram) and ran it through a text analytics engine to see what we could learn.

Understanding commingled entities through global analysis


With a K-1, the credit analysis see the distributions, capital gains and interest income – which are critically important for making accurate, double-counting adjustments and generating a realistic debt service coverage ratio (DSCR). The main philosophy behind a global cash flow (GCF) is to spread all parts of a relationship (people, businesses and related real estate) to measure their financial health and cash flow individually, then collectively on a “global” level.

Integrating political analysis into portfolio risk calculations

Bobs Guide

“Political risk? ” With the global economy continuing to grow steadily without evidence of a strong upsurge in inflation, recent market corrections have increasingly been driven by concerns about political developments. Whether these appear in the form of a tweet from the US

FinTech Foresights Vol.2: IoT Deep-Dive Analysis in FinServ

Let's Talk Payments

Financial institutions for long have been riding on their strengths such as infrastructure, trust, and vast customer base. For decades, they dictated the terms and shaped the financial lives of. Fintech Insights Asia Europe insights US

Jet Harnesses Consumer Analysis Tech For Business Loan Applicants


Financial services firm Jet Capital is focusing on speed. In an announcement by the company on Friday (June 24), Jet revealed upgrades to its software suite that target the speed at which small businesses can access working capital loans. The new software accelerates application evaluations, and enables Jet to provide a company with loans within 24 hours, the firm said.

MRM launches global trade finance market analysis

The Paypers

(The Paypers) Market Research Mentor (MRM) has launched a market analysis that covers assessment on the current state of the trade finance industry and growth rate of the market

5 Common errors in global cash flow analysis


When combining personal financial information, the analysis can get even more complex. To more objectively calculate a global risk assessment of the borrower, institutions often perform a global cash flow analysis. Institutions that don’t perform a global cash flow analysis correctly – or at all – face several risks, including pricing loans incorrectly, making incorrect loan decisions, or overstating cash position, debt or income.

Here Is What We Learned Using Text Analysis On Credit Memos

Banker to Banker

Text analysis is the mining of data contained in natural language done to derive bias, sentiment, sentence structure and word usage. If you have seen a “word cloud” you have seen the basic building block of text analysis.

Our Analysis of 156 #InsurTech Ventures During Cambrian Explosion

Bank Innovation

A year ago we wrote “not that many InsuranceTech startups – yet”. We found 11 ventures. People added 4 more in comments, exciting ventures that we went on to profile – making 15 total. A year is an eon in startup land. Today we found over 150. That is Read More. Newswire InsurTech

5G Partnership Analysis: The Wireless Carriers, Chipmakers, & Equipment Makers Pushing The Spectrum Forward

CB Insights

The post 5G Partnership Analysis: The Wireless Carriers, Chipmakers, & Equipment Makers Pushing The Spectrum Forward appeared first on CB Insights Research. As mobile network operators (MNOs) like Verizon , T-Mobile , Sprint , and AT&T race to offer 5G services, they have recently begun partnering with equipment manufacturers like Ericsson and Nokia to develop the underlying infrastructure.

How technology is making bank fee analysis more efficient

Bobs Guide

Bank fee analysis remains a topic that is mundane yet extremely vital for treasurers. Essentially, bank fee analysis involves taking a meticulous look at your current and future fee structure from the relationships you have with banks and attempting to mitigate fees where possible.

4 Lessons to be covered in Sageworks Credit Analysis User Groups


Each event will feature 2 tracks: one for users of Sageworks Credit Analysis and one for users of Sageworks ALLL. Here are 4 key lessons to be covered during the Sageworks Credit Analysis User Groups.

The most asked questions on global cash flow analysis: passive v. non-passive income/loss


During a recent Sageworks webinar , Linda Keith, CPA, covered the top questions she gets from bankers on k-1’s, pass-throughs and global cash flow analysis. Keith collected data from her website, where articles answering these questions collectively received over 66,700 views. Keith’s most viewed article on her site, with over 21,400 views, is “What does it mean when the k-1 income/loss is listed as ‘passive’ instead of ‘non-passive’”?

Clueless LinkedIn Analysis

CB Insights

LinkedIn and chill Hi there, Lots of startups, private companies and tech giants had ads during the Super Bowl last night including companies backed by Y Combinator, Accel, Index Ventures, Softbank, Comcast Ventures, Forerunner Ventures, IVP, Strand Equity and Baseline … Continued. Newsletter Archive