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Description
Minimize false positives and leverage machine learning (ML) to effectively identify anomalies in business performance indicators. Investigate the underlying causes of these anomalies by clustering similar outliers together for analysis. Provide a summary of these root causes and prioritize them based on their impact. Ensure a smooth integration with AWS databases, storage services, and external SaaS platforms for comprehensive metrics monitoring and anomaly detection. Set up automated alerts and responses tailored to the detection of anomalies. Utilize Lookout for Metrics, which employs ML to both discover and analyze anomalies in business and operational datasets. The challenge of recognizing unexpected anomalies is compounded by the limitations of traditional manual methods that are prone to errors. Lookout for Metrics simplifies the detection and diagnosis of data inconsistencies without requiring any expertise in artificial intelligence (AI). Monitor irregular fluctuations in subscriptions, conversion rates, and revenue to remain vigilant about sudden market shifts, ultimately enhancing strategic decision-making capabilities. By adopting these advanced techniques, businesses can improve their overall performance management and response strategies.
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
API Access
Has API
Integrations
AWS Lambda
Amazon CloudWatch
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
SAP Joule
Integrations
AWS Lambda
Amazon CloudWatch
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
SAP Joule
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-metrics/
Vendor Details
Company Name
SAP
Founded
1972
Country
Germany
Website
www.sap.com/products/financial-management/fraud-management.html
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval