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. MORE
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. MORE
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. MORE
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. MORE
There are around 600+ FinTech startups in India and more than half are more than PowerPoint startups. Out of the 600 FinTech startups in India, around 65+ have raised funding. Fintech Funding India Insights Asia insights MORE
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. MORE
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. MORE
(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 MORE
“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 MORE
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. MORE
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. MORE
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 MORE
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. MORE
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 MORE
(The Paypers) Forter , an ecommerce fraud prevention company has announced the launch of its End-to-End Identity-based Fraud Protection solution which includes buying patterns analysis MORE
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 MORE
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’”? MORE
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. MORE
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. MORE
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 MORE
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. MORE
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. MORE
(The Paypers) The ai Corporation (ai) has added to its automated machine learning solution exploratory data analysis (EDA) and impact analysis functionality MORE
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. MORE
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. MORE
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. MORE
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. MORE
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 MORE
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 MORE
Construction tech is on track for a record fundraising year. Funding is already up 60% from 2017, with another quarter to go this year. Much of the action in construction tech is at the seed and Series A stage, though big later stage deals have grabbed headlines and driven up dollars rushing into the space. Since 2013, the top 3 investors in construction tech startups are Y Combinator, 500 Startups, and Techstars. get our 61-page construction tech report. MORE
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? MORE
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 MORE
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. MORE
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. MORE
So you can bet it went apoplectic yesterday when it received a Treasury analysis of its arbitration rule. The CFPB proudly proclaims that it is a data driven regulator for the 21st Century. The report is a well-reasoned explanation of why the CFPB over-stated the value of class action lawsuits and did so at the […]. General New York State CFPB paid family leave MORE
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. MORE
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 MORE
Amazon, Microsoft, and Google are 3 of the biggest tech giants in the world, with businesses spanning e-commerce, gaming, and digital advertising. Increasingly, the cloud is where they’re competing particularly aggressively. For Amazon, AWS represents 62% of 2018 H1 earnings, and Microsoft and Google have made expanding cloud market share and IP a major priority over the last few years. Cloud Wars: The Race Between Google, Microsoft, and Amazon. MORE
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 MORE
(The Paypers) UK-based online trading platform Infinox has announced the launch of its free sentiment analysis tool using AI technology MORE
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. MORE
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. MORE
Analysis Related Topics Insights on Business
DECEMBER 13, 2017
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?
Independent Banker
FEBRUARY 16, 2015
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.
Sageworks
FEBRUARY 16, 2017
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.
Dataconomy
JANUARY 18, 2017
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
The Paypers
AUGUST 30, 2018
(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
Dataconomy
MAY 26, 2017
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
Dataconomy
JULY 31, 2017
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
Sageworks
NOVEMBER 12, 2014
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.
Dataconomy
JANUARY 18, 2017
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
PYMNTS
FEBRUARY 15, 2018
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.
Sageworks
FEBRUARY 1, 2017
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.
ForwardBanker
JUNE 5, 2017
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.
Sageworks
FEBRUARY 16, 2016
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.
PYMNTS
JUNE 29, 2016
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.
Dataconomy
JANUARY 13, 2017
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
Jeff For Banks
DECEMBER 4, 2017
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.
ForwardBanker
FEBRUARY 22, 2018
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
Sageworks
FEBRUARY 20, 2016
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.
Bobs Guide
MAY 8, 2018
“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
Bank Innovation
FEBRUARY 10, 2017
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.
The Paypers
AUGUST 23, 2018
(The Paypers) UK-based online trading platform Infinox has announced the launch of its free sentiment analysis tool using AI technology
Sageworks
MARCH 17, 2017
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.
Banker to Banker
JUNE 21, 2016
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.
Let's Talk Payments
MAY 16, 2017
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
Sageworks
JUNE 11, 2015
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.
Sageworks
FEBRUARY 13, 2015
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.
PYMNTS
JUNE 27, 2016
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.
Banker to Banker
JUNE 6, 2016
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.
Sageworks
OCTOBER 13, 2015
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.
FICO
MARCH 16, 2018
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.
Sageworks
JANUARY 13, 2016
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 Paypers
NOVEMBER 17, 2017
(The Paypers) Forter , an ecommerce fraud prevention company has announced the launch of its End-to-End Identity-based Fraud Protection solution which includes buying patterns analysis
Sageworks
JUNE 29, 2017
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’”?
New York's State of Mind
OCTOBER 24, 2017
So you can bet it went apoplectic yesterday when it received a Treasury analysis of its arbitration rule. The CFPB proudly proclaims that it is a data driven regulator for the 21st Century. The report is a well-reasoned explanation of why the CFPB over-stated the value of class action lawsuits and did so at the […]. General New York State CFPB paid family leave
CB Insights
FEBRUARY 8, 2016
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
CB Insights
AUGUST 9, 2018
Amazon, Microsoft, and Google are 3 of the biggest tech giants in the world, with businesses spanning e-commerce, gaming, and digital advertising. Increasingly, the cloud is where they’re competing particularly aggressively. For Amazon, AWS represents 62% of 2018 H1 earnings, and Microsoft and Google have made expanding cloud market share and IP a major priority over the last few years. Cloud Wars: The Race Between Google, Microsoft, and Amazon.
CB Insights
SEPTEMBER 13, 2018
Construction tech is on track for a record fundraising year. Funding is already up 60% from 2017, with another quarter to go this year. Much of the action in construction tech is at the seed and Series A stage, though big later stage deals have grabbed headlines and driven up dollars rushing into the space. Since 2013, the top 3 investors in construction tech startups are Y Combinator, 500 Startups, and Techstars. get our 61-page construction tech report.
The Paypers
NOVEMBER 30, 2017
(The Paypers) The ai Corporation (ai) has added to its automated machine learning solution exploratory data analysis (EDA) and impact analysis functionality
Let's Talk Payments
AUGUST 25, 2016
There are around 600+ FinTech startups in India and more than half are more than PowerPoint startups. Out of the 600 FinTech startups in India, around 65+ have raised funding. Fintech Funding India Insights Asia insights
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