#financial assessment

[findaprofessionalbuilder1]

Maximize your financial potential with personalized financial tools that streamline budgeting, investing, and credit management.

[noragaur]

Financial Health Checker: Assess and Improve Your Financial Fitness

Take control of your financial well-being with our online Financial Health Checker. Evaluate your financial situation, identify areas for improvement, and get personalized tips to enhance your financial fitness and security.

[sonybithub]

Assessing Finances: Your Path to Prosperity

In the grand tapestry of life, the role of finances cannot be underestimated. Yet, it’s not merely about hoarding wealth; it’s about orchestrating it wisely. This journey toward prosperity begins with a crucial step: financial assessment. Understanding the Importance of Financial Assessment Financial assessment, often overlooked, is the cornerstone of financial well-being. It’s akin to navigating…

[atozofsoftwareengineering]

Intelligent Automated Risk Management (IARM): Enhancing Risk Identification and Decision-Making

Unlock the future of risk management with Intelligent Automation: smarter, faster, and more proactive. #RiskManagement #AI #MachineLearning #Automation #BigData #Fintech #Healthcare #CyberSecurity

Introduction In an era where businesses face a myriad of risks—from financial uncertainties to cyber threats—traditional risk management approaches often struggle to keep up with the pace and complexity of emerging risks. Intelligent Automated Risk Management (IARM) offers a transformative approach by integrating cutting-edge technologies to enhance risk identification, assessment, and…

[perilouspage]

im listening to the ONRAC autism quotient episode and smiling and nodding along, then I'm like "wait I took both the AQ and RAADS-R, what were my numbers again?" so I went and checked. My AQ was 42 and my RAADS-R was 171 😬

[dontmeantobepoliticalbut]

The U.S. Secret Service has released a first-of-its-kind report that analyzes 173 mass attacks that took place in the country from 2016-2020.

It's the first time the agency has put together trends collected from five years of data; the report examines everything from when in the year the attacks took place, to behavioral changes exhibited in the attackers. The report, which comes from the agency's National Threat Assessment Center, looked at attacks that harmed at least three individuals, not including the attacker.

The report comes just days after two shootings in California in Monterey Park and Half Moon Bay killed a total of 18 people. So far in 2023, there have been 39 mass shootings.

Lina Alathari, chief of the National Threat Assessment Center, said she hopes the research and guidance provided in the report can help prevent future mass attacks.

"We must do everything we can to prevent these, which is why we're putting out this research for you. There is no community that is immune from this," Alathari said.

TOP DATA POINTS FROM THE REPORT

• LOCATION: Most of the attacks took place in a variety of public and semi-public spaces across 37 states, and Washington, D.C. The most common locations for an attack were businesses, including restaurants and retail.

• TYPE OF WEAPON USED: 126 of the attacks, or 73%, involved the use of one or more firearms. In nearly 1/4 of the attacks involving firearms, at least one of the firearms was acquired illegally by the attacker.

• DEMOGRAPHICS OF ATTACKERS: 96% of the attackers in the study were male. The USSS says that this finding is consistent with previous analyses of mass attacks. 57% were white and 34% were Black.

• CRIMINAL HISTORY: 64% had a prior criminal history, not including minor traffic violations. 41% of the attackers were found to have a history of domestic violence, but only 16% if those individuals faced domestic violence charges.

• ONLINE PRESENCE: A majority of the attackers had a identified presence online, and nearly one-quarter were found to have conveyed "concerning communications" such as threats, and posts about suicidal ideations, previous mass shootings, violent content and hatred toward a specific ethnic group.

• STRESSORS: Nearly all the attackers experienced "at least one significant stressor" within five years of the attack, most of which were issues with family and romantic relationships. 20% of the attackers experienced some kind of childhood trauma, including physical or sexual abuse, entering foster care, living in a refugee camp, or the death of a parent, the report says.

• FINANCIAL AND HOUSING INSTABILITY: 72% of the attackers experienced a financial stressor some time before the attack, and over half experienced it within five years. The report describes some financial stressors as bankruptcy, eviction, foreclosure and loss of income. 39% of the attackers also experienced unstable housing within 20 years of their attack, including homelessness and impending evictions.

CONCERNING BEHAVIORS AND MENTAL HEALTH SYMPTOMS AMONG THE ATTACKERS

The report says that of the 180 attackers examined in the report, 58% experienced mental health symptoms prior to or at the time of their attack, some of which included depression and suicidal thoughts, and psychotic symptoms such as paranoia and delusions.

The report makes it clear that mental health factors should not be considered causal explanations for why these attacks occurred.

"Mental illness is not a barometer for dangerousness and it is not a correlation for mass attacks. The vast majority of individuals with mental illnesses in this country will never be violent. In fact, often, they are the victims of violence," Alathari said.

The agency says violence like mass attacks are rarely spontaneous and almost always have some warning signs in the attacker. The report doesn't offer any kind of road map to prevent future mass attacks, but the agency recommends that "community systems" be set up to help identify and intervene when someone reports concerns about another person.

With the roll out of the USSS's report, they are also holding a virtual event, and Alathari said 21,000 people signed up to attend from all 50 states and 80 countries.

"Everyone has a role to play in prevention, it's [not] just one person's responsibility or one organization's responsibility. It is a community-wide, multi-disciplinary effort," Alathari said.

[fellhellion]

I’m rlly not trying to be a pedantic asshole even tho I have a lot to say on this arc critique wise but like. whale pecs lmao.

[pixielusts]

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[techmarkethunter]

Medi Assist Healthcare Services Limited ipo's

The Indian healthcare space just witnessed a major player enter the IPO ring – Medi Assist Healthcare Services Limited (MAHS). Opening for subscription on January 15th, 2024, this offer-for-sale (OFS) IPO garnered strong attention, highlighting the potential of the healthcare TPA sector. But before you consider investing, let’s examine MAHS and its IPO under the microscope. About MAHS: MAHS is…

[wolvierinez]

autism assessment so expensives....(has limited funds that is quickly draining bc the town im in jacked up the price of everything bc it's tourist season)

[calicostorms]

Living in the US is just [pays off medical debt] [avoids needed treatment because it's too expensive] [weighs which medical things I need the most] [medications too expensive even with insurance] over and over until you die

[andrewjbernhard]

Condo Association Board Guide to Defending Special Assessments: From 40-Year Recertifications to Reserve Shortfalls

In our latest blog post, we dive deep into: 🔹 Why Special Assessments May Be Necessary. 🔹 Defending the Decision - Tips. 🔹 Navigating 40-Year Recertifications. 🔹 The Business Judgment Rule.

Introduction Condominium living in Florida offers a blend of convenience and community but comes with its own set of complexities, especially when it comes to managing finances. One of the most contentious issues that condo associations can face is the imposition of special assessments. These additional fees are levied on unit owners to cover unexpected expenses or major repairs not included in…

[novelpatterns]

How Can CART Revolutionize Bank Statement Analysis for Financial Institutions?

Novel Patterns’ CART (Credit Assessment and Robotic Transformation), is an AI-powered solution that automates bank statement analysis, delivering faster and more accurate insights into an applicant’s financial history. This article explores how CART revolutionizes the process of credit underwriting by providing accurate data, preventing fraud, and improving overall operational efficiency.

Automated bank statement analysis for faster credit decisions.

Detects fake bank statements and fraudulent activity with AI.

Provides real-time insights into financial health and spending patterns.

Improves decision accuracy with advanced data parsing and machine learning.

Reduces Turnaround Time (TAT) by 40–70%, speeding up loan approvals.

Predictive analytics to reduce Non-Performing Assets (NPA) by 40–60%.

Helps lenders make informed financial decisions with clear, actionable data.

Scales effortlessly to handle high application volumes with cloud-based infrastructure.

What is a Bank Statement Analysis? : A Key to Financial Health and Risk Management

With CART, this process is automated and enhanced with machine learning. The system collects data from bank statements, processes it through bank statement analyzers, and generates real-time reports on financial behavior. CART does more than just include monthly figures for income and expenses — it delivers actionable insights, flagging any anomalies that could indicate potential fraud or fraudulent activity.

Key Features of CART for Advanced Bank Statement Analysis

1. Advanced AI-Powered Data Parsing for Financial Data

In addition to processing traditional bank statement analysis, CART is designed to detect fake bank statements by identifying inconsistencies or missing transaction patterns. This ensures the accuracy of the financial data used to assess credit risk and improves overall decision-making.

2. Automated Credit Decision Support

The system highlights key risk factors, such as missed payments or irregular deposits, and suggests whether further investigation is needed. This automation reduces the manual workload and improves processing times by up to 70%. CART has been shown to cut Turnaround Time (TAT) by 40–70%, leading to quicker loan approvals.

3. Real-Time Decision-Making with AI-Driven Insights

This not only improves credit assessment but also aids in the detection of potential fraud. For instance, if an applicant attempts to manipulate their financial health by submitting fake bank statements, CART can quickly detect discrepancies and flag the application for further review.

4. Reducing Non-Performing Assets (NPA) Through Predictive Analytics

How CART Optimizes the Credit Underwriting Process

1. Fraud Detection and Prevention

One of the most significant challenges for financial institutions is the detection of fraudulent activity and fake bank statements. CART employs anomaly detection algorithms that learn from past fraudulent cases to identify new threats. It flags inconsistencies in financial data, unusual transaction patterns, and other red flags that could signal fraud.

For instance, the system is adept at spotting sudden, large deposits that don’t align with the applicant’s regular income. Such anomalies are flagged for manual review, allowing lenders to mitigate the risk of fraud early in the credit assessment process.

2. Enhanced Workflow and Scalability

CART integrates seamlessly with existing core banking and loan management systems, making it an ideal solution for financial institutions of all sizes. The platform’s API-based architecture ensures real-time communication between different systems, optimizing workflow and reducing bottlenecks in the credit underwriting process.

As financial institutions grow, the demand for scalable solutions increases. CART is built on cloud-based infrastructure, which enables it to scale effortlessly to accommodate high volumes of applications. This scalability is crucial for large lending institutions that handle millions of loan applications each year.

3. Customizable Credit Risk Framework

Every financial institution has its own credit risk policies. CART offers a customizable rule-based engine that allows lenders to tailor their credit scoring models based on their unique requirements. Whether it’s assessing personal loans, business loans, or mortgages, CART adapts to meet the specific needs of the institution.

Technical Architecture: The Engine Behind CART

1. Data Ingestion Layer

The data ingestion layer is responsible for extracting financial data from various document formats. CART uses Optical Character Recognition (OCR) to convert unstructured data into a readable format, enabling the system to extract income, expenses, and account balances from bank accounts.

2. AI and Machine Learning Core

Once the data is ingested, it passes through the AI and machine learning layer, which categorizes transactions and detects anomalies. The system is trained to identify fraudulent activity, flagging any unusual behavior in financial data that could indicate potential fraud.

This layer ensures that CART integrates seamlessly with external systems, such as Loan Origination Systems (LOS) and Customer Relationship Management (CRM) platforms. The integration layer is essential for ensuring real-time data flow between various systems, making CART a vital part of any lending institution’s digital ecosystem.

The Business Case for CART: Why Choose This Bank Statement Analyzer?

Time and Cost Efficiency: By automating bank statement analysis, CART reduces manual labor costs and accelerates the loan approval process. This results in significant cost savings — up to 55%—for financial institutions.

Fraud Prevention: CART is equipped with advanced algorithms to detect fake bank statements and prevent financial fraud, ensuring that lenders only approve legitimate applicants.

Data-Driven Insights: The AI-powered system offers detailed insights into income, expenses, and spending patterns, allowing lenders to make better financial decisions. The ability to track effective cash flow management also enables institutions to assess an applicant’s capacity to repay loans.

Regulatory Compliance: CART adheres to stringent data security and compliance standards, making it suitable for financial institutions that deal with sensitive customer information. The system ensures that all data is encrypted and handled in compliance with regulations.

Re-wind up: Transforming Bank Statement Analysis with CART

The future of bank statement analysis lies in automation and AI-driven insights. Novel Patterns’ CART offers financial institutions a solution that not only improves effective cash flow management and credit decision-making but also mitigates risks such as potential fraud and fake bank statements.

With its advanced AI models, customizable framework, and robust fraud detection systems, CART is poised to redefine the credit underwriting process, ensuring that financial institutions can make more informed decisions with speed and precision.

[poddar123]

How to Progress ahead with Mathematics?

[alwajeeztech]

ZATCA VAT & Tax Return System in ALZERP Cloud ERP Software

The ALZERP Cloud ERP Software offers a comprehensive tax return system designed to facilitate the calculation, moderation, and finalization of VAT and tax returns. This system ensures businesses comply with the Saudi Arabian tax regulations set by the Zakat, Tax, and Customs Authority (ZATCA). By automating and streamlining the tax return process, ALZERP helps businesses achieve accuracy and…