Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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