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What is SAS Financial Crimes Analytics?

SAS Financial Crimes Analytics serves as a cloud-driven platform aimed at bolstering Anti-Money Laundering (AML) efforts by utilizing artificial intelligence and machine learning to streamline compliance operations. This groundbreaking solution enables financial organizations to more efficiently detect and prevent financial crimes while reducing the occurrence of false positives, automating investigations, and improving overall detection efficacy. Users benefit from features that facilitate data exploration and visualization, allowing for easy importing, transforming, and integrating of data through a user-friendly drag-and-drop interface. Moreover, it accelerates the deployment of analytical models via automated processes, making it suitable for both batch processing and real-time applications. The system integrates effortlessly with existing transaction monitoring frameworks, eliminating the need for major revisions to current AML systems. In addition, it harnesses sophisticated analytical tools, including network and text analytics, to deliver a thorough understanding of risk factors, enabling institutions to stay responsive to the changing dynamics of financial crime threats. This comprehensive strategy not only enhances compliance measures but also fortifies the institution’s overarching risk management framework, ensuring better protection against emerging risks. Ultimately, SAS Financial Crimes Analytics represents a pivotal advancement in the fight against financial crime, equipping institutions with the necessary tools to navigate an increasingly complex environment.

What is Estimator 9?

Estimator 9, created by FineIT Private Limited, is an advanced automation platform specifically designed for the management of IFRS 9 Expected Credit Loss (ECL) calculations, catering primarily to international financial institutions. This pioneering solution delivers audit-ready risk assessments through a thorough and automated, model-driven approach. The platform enables complete ECL calculations by integrating essential risk parameters such as Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD), while also factoring in relevant discounting elements. It utilizes a three-tier classification framework paired with automated identification of Significant Increases in Credit Risk (SICR). In addition, it incorporates macroeconomic scenario modeling and proactive adjustments, ensuring adherence to IFRS 9 regulations. With a presence in over 56 institutions in more than 40 countries, Estimator 9 integrates effortlessly with critical banking systems and general ledgers. Furthermore, it provides automated disclosures, stress testing, and validation tools aligned with GPPC guidelines, thereby enhancing the precision and trustworthiness of the data. Recognized by Big 4 audit firms, the platform ensures rapid, clear, and reliable ECL reporting, establishing itself as an essential tool for financial organizations. Its comprehensive features position Estimator 9 as a leader in the domain of ECL management, empowering institutions to navigate regulatory complexities with confidence.

Media

Media

No images available

Integrations Supported

SAS Anti-Money Laundering

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Rs 10000
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/financial-crimes-analytics.html

Company Facts

Organization Name

FineIT Private Limited

Date Founded

2001

Company Location

Pakistan

Company Website

fineit.io

Categories and Features

AML

Not specified

Categories and Features

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