Ambriel vs Dividend Data

Advanced Fraud Detection

Leveraging data from over 200 sources, Ambriel's advanced fraud detection utilizes AI-driven risk scoring to identify suspicious activities in real-time, ensuring that organizations can protect their revenue before losses occur.

Sanctions & PEP Screening

Ambriel automates screening against over 100 global sanctions, Politically Exposed Persons (PEP), and crime lists. This feature eliminates the need for manual checks, enabling organizations to remain compliant effortlessly and accelerate their growth.

Continuous Monitoring

With 24/7 tracking of transactions and accounts, Ambriel provides timely alerts for unusual patterns. This continuous monitoring allows businesses to act proactively before potential fraudulent activities escalate into costly cases.

Seamless Onboarding

Ambriel's customizable onboarding flows incorporate automated checks to ensure that only trusted customers and sellers are onboarded. This seamless process enhances user experience while maintaining a secure environment for business operations.

Free Tier with Monthly Credits

Dividend Data offers an enticing free tier that provides 2,500 monthly credits, allowing users to explore its functionalities without any trial expiration. This feature ensures that investors can access valuable data without incurring immediate costs, making it an excellent starting point for both novice and experienced investors.

Custom Functions for Dividend Investors

The tool includes 16 custom functions that cater specifically to the needs of dividend investors. These functions simplify the process of retrieving vital data, including forward-looking dividend per share and earnings per share, ensuring that users can easily access the information necessary for effective investment strategies.

Extensive Historical Data Coverage

With over 30 years of stock market data at your fingertips, Dividend Data provides an expansive historical context for any investment analysis. This wealth of data enables investors to identify trends, assess long-term performance, and make more informed decisions based on historical patterns in dividends and financial metrics.

Compatibility with Major Spreadsheet Tools

Dividend Data is designed to work flawlessly in both Google Sheets and Microsoft Excel, making it accessible to a wide range of users. This compatibility allows investors to harness the power of Dividend Data’s features in the spreadsheet tools they are most comfortable with, enhancing their overall experience and productivity.

Onboarding & Registration Fraud

Ambriel effectively identifies fake accounts, synthetic identities, and bot-driven signups during the onboarding phase. This proactive approach prevents malicious actors from exploiting the platform before they can cause harm.

Payment & Transaction Fraud

By monitoring real-time transactions for anomalies, Ambriel helps organizations spot irregularities that could indicate fraud. This capability not only prevents chargebacks but also blocks fraudulent transfers, safeguarding financial interests.

Bonus & Promotion Abuse

Ambriel combats multi-accounting, referral scams, and exploitation of promotional incentives. By ensuring that rewards are fairly distributed, businesses can maintain integrity in their promotional efforts.

Account Takeover Protection

The platform identifies unusual login behaviors, device changes, and credential stuffing attempts. By proactively addressing these threats, Ambriel enhances customer security and helps mitigate the risks of account takeovers.

Portfolio Management

Dividend Data is perfect for investors looking to manage and track their dividend portfolios effectively. Users can automate the tracking of dividends received and projected earnings, enabling them to focus on strategy rather than manual data entry.

Fundamental Analysis

Investors conducting fundamental analysis will find Dividend Data invaluable for its easy access to financial statements and key ratios. The custom formulas allow for quick calculations, enabling investors to compare companies and understand their financial health instantly.

Investment Research

Dividend Data serves as a powerful research tool for those looking to explore new investment opportunities. By providing immediate access to a vast array of data, investors can perform thorough analyses on potential stocks and make informed decisions based on real-time metrics.

Education and Learning

New investors can utilize Dividend Data as an educational resource to learn fundamental analysis and dividend investment strategies. The straightforward formula-driven approach allows users to experiment with data retrieval and gain a deeper understanding of key financial concepts.

Ambriel is a state-of-the-art fraud intelligence and risk management platform tailored for digital businesses navigating a landscape filled with evolving threats. Designed specifically for sectors such as fintech, marketplaces, retail, and iGaming, Ambriel provides a powerful suite of tools to help organizations meet regulatory compliance while ensuring user safety. The platform seamlessly integrates advanced behavioral analytics, device intelligence, sanctions screening, and real-time risk scoring, creating a unified ecosystem that allows companies to detect, score, and prevent fraud effectively. At its essence, Ambriel empowers organizations to analyze transactions, user behaviors, devices, and network signals, revealing hidden risk patterns that could impact both revenue and reputational integrity. With robust real-time detection features, Ambriel enables businesses to identify suspicious activities—ranging from multi-accounting and bonus abuse to payment fraud and money laundering—while minimizing friction for legitimate users. By balancing security and user experience, Ambriel is an indispensable partner for companies aiming to uphold customer trust and operational excellence in an increasingly complex digital marketplace.

Dividend Data is an innovative tool designed specifically for dividend and fundamental investors seeking instant access to comprehensive stock market data. With over 30 years of historical data covering more than 80,000 tickers, this powerful solution integrates seamlessly into Google Sheets and Microsoft Excel, allowing users to analyze market trends without any coding, API keys, or manual data entry. By simply typing a formula, investors can retrieve live data on dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and over 100 other essential metrics. Built by a dividend investor for dividend investors, Dividend Data empowers users with the institutional-grade information they need to make informed investment decisions, all while eliminating the hassle of traditional data collection methods.

What industries does Ambriel serve?

Ambriel caters to a diverse range of industries, including fintech, retail and e-commerce, marketplaces, iGaming, insurance, and crypto, providing tailored fraud prevention solutions.

How does Ambriel ensure compliance with regulations?

Ambriel automates sanctions screening and risk scoring, allowing organizations to comply with regulations such as AML, KYC, and GDPR without the need for extensive manual checks, thus facilitating growth.

Can Ambriel adapt to my business's specific needs?

Yes, Ambriel offers customizable onboarding flows and automated checks, allowing businesses to tailor the platform to their unique requirements, ensuring both security and a seamless user experience.

Is Ambriel suitable for small businesses?

Absolutely. Ambriel is designed to scale with your business, providing powerful fraud detection and risk management tools that are beneficial for organizations of all sizes, from startups to enterprises.

How does Dividend Data integrate with Google Sheets and Excel?

Dividend Data integrates smoothly with Google Sheets and Microsoft Excel by providing custom functions that users can input directly into their spreadsheets. This allows for seamless data retrieval without any additional programming or setup.

Is there a limit on the number of stocks I can query?

With the free tier, users have access to 2,500 monthly credits, which can be utilized for querying various stocks. However, the number of stocks queried per formula will depend on the specific custom function being used and the data requested.

Can I use Dividend Data for other types of analysis beyond dividends?

Yes, while Dividend Data is tailored for dividend investors, it also provides a wealth of fundamental data, including financial statements, earnings, and ratios. This makes it a versatile tool for various types of stock analysis.

Is there customer support available for users?

Absolutely! Dividend Data offers a comprehensive help center and documentation to assist users with any questions or issues they may encounter. Additionally, users can access video tutorials for further guidance on utilizing the tool effectively.

Ambriel is a state-of-the-art fraud intelligence and risk management platform tailored for digital businesses. It operates within the productivity and management category, focusing on helping organizations detect and prevent fraud in real-time, thus protecting their revenue and enhancing customer trust. Users often seek alternatives to Ambriel for various reasons, including pricing structures, specific feature sets, and compatibility with distinct platform needs. As businesses explore their options, it's essential to assess the robustness of fraud detection capabilities, ease of integration, compliance features, and overall user experience when selecting an alternative.

Dividend Data is a powerful tool designed for dividend and fundamental investors, providing over 30 years of stock market data for more than 80,000 tickers directly into Google Sheets and Microsoft Excel. This product falls under the Business & Finance category, allowing users to access vital financial metrics, including dividends, yields, and growth rates, through simple custom formulas. Users often seek alternatives for various reasons, such as pricing considerations, specific feature requirements, or compatibility with their preferred platforms. When choosing an alternative, it is essential to evaluate factors like data accuracy, historical coverage, ease of use, and the availability of custom functions that cater to your investment strategy.