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What is Tatvic Anomaly Detection?

The Real-time Anomaly Detection system allows for the recognition of atypical user activities or actions that stray from recognized trends found within a dataset. These anticipated trends can stem from historical records or bespoke datasets crafted to suit your specific requirements, underscoring Tatvic's commitment to personalized solutions. With this innovative tool, you can assess whether a sudden spike in traffic to your website or application is due to bot activity and spam or influenced by external factors. Furthermore, the Real-time Anomaly Detection solution brings to light problems on your site, such as a compromised user experience resulting from recent modifications or updates. For more complex websites, this technology becomes essential for keeping track of overall performance and operational health, ensuring everything operates smoothly. By leveraging this solution, organizations have the opportunity to identify and tackle potential challenges proactively, which ultimately helps in boosting user satisfaction and retention rates. Additionally, the insights gained from this solution can aid in refining marketing strategies and improving overall business operations.

What is Qualytics?

To effectively manage the entire data quality lifecycle, businesses can utilize contextual assessments, detect anomalies, and implement corrective measures. This process not only identifies inconsistencies and provides essential metadata but also empowers teams to take appropriate corrective actions. Furthermore, automated remediation workflows can be employed to quickly resolve any errors that may occur. Such a proactive strategy is vital in maintaining high data quality, which is crucial for preventing inaccuracies that could affect business decision-making. Additionally, the SLA chart provides a comprehensive view of service level agreements, detailing the total monitoring activities performed and any violations that may have occurred. These insights can greatly assist in identifying specific data areas that require additional attention or improvement. By focusing on these aspects, businesses can ensure they remain competitive and make decisions based on reliable data. Ultimately, prioritizing data quality is key to developing effective business strategies and promoting sustainable growth.

Media

Media

Integrations Supported

Amazon Redshift
Amazon S3
Azure Blob Storage
Databricks Data Intelligence Platform
Google Analytics
Google Cloud BigQuery
Google Cloud Storage
Snowflake

Integrations Supported

Amazon Redshift
Amazon S3
Azure Blob Storage
Databricks Data Intelligence Platform
Google Analytics
Google Cloud BigQuery
Google Cloud Storage
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

$39.99/month/user
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour 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

Tatvic Analytics

Date Founded

2009

Company Location

India

Company Website

www.tatvic.com/data-analytics-solutions/anomaly-detection/

Company Facts

Organization Name

Qualytics

Date Founded

2020

Company Location

United States

Company Website

qualytics.co

Categories and Features

Website Monitoring

Availability Testing
Event Logs
Event-Based Notifications
FTP Monitoring
Mail Server Monitoring
Maintenance Scheduling
Performance Metrics
Real Time Monitoring
Transaction Monitoring
Uptime Reporting

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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