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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

IBM Z Anomaly Analytics is a sophisticated software solution designed to detect and categorize anomalies, enabling organizations to proactively address operational challenges within their environments. By leveraging historical log and metric data from IBM Z, the software constructs a model that represents typical operational behavior. This model is then utilized to assess real-time data for any deviations that indicate unusual behavior. Following this, a correlation algorithm systematically organizes and evaluates these anomalies, offering timely alerts to operational teams regarding potential issues. In the fast-paced digital landscape today, maintaining the availability of essential services and applications is crucial. For businesses operating with hybrid applications, including those on IBM Z, identifying the root causes of issues has become increasingly challenging due to factors such as escalating costs, a shortage of skilled professionals, and shifts in user behavior. By detecting anomalies in both log and metric data, organizations can proactively uncover operational issues, thereby preventing expensive incidents and ensuring smoother operations. Ultimately, this advanced analytics capability not only enhances operational efficiency but also supports better decision-making processes within enterprises.

Description

To safeguard your business's integrity and steer clear of dubious transactions involving high-risk third parties, implementing robust Big Data screening solutions from SAP is essential. By leveraging advanced software, you can enhance your ability to identify and prevent irregularities, thereby reducing the chances of fraud and minimizing financial losses. The SAP Business Integrity Screening application enables swift detection of unusual activities through adaptable rule configurations and predictive analytics, which assist in highlighting possible fraudulent behaviors. Protecting your revenue stream and curtailing losses related to fraud can be achieved by efficiently screening large volumes of transactions to identify anomalies, thereby decreasing the number of false positives. Furthermore, by examining exception-based scenarios alongside behavioral analytics, businesses can prevent future occurrences and develop effective strategies for addressing anomalies and fraud. You can also fine-tune your detection methodologies through calibration and simulation tools, allowing for what-if scenarios based on historical data to evaluate the most successful strategies. This proactive approach not only enhances your fraud detection capabilities but also fosters a culture of vigilance within your organization.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

IBM Z Yes 
SAP Joule No 

Integrations

IBM Z No 
SAP Joule Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/z-anomaly-analytics

Vendor Details

Company Name

SAP

Founded

1972

Country

Germany

Website

www.sap.com/products/financial-management/fraud-management.html

Product Features

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

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