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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.

What is IBM Z Anomaly Analytics?

IBM Z Anomaly Analytics is an advanced software tool that identifies and categorizes anomalies, allowing organizations to tackle operational challenges proactively. By harnessing historical log and metric data from IBM Z, the tool creates a model that encapsulates standard operational behavior. This model is used to evaluate real-time data for any discrepancies that suggest abnormal activity. Subsequently, a correlation algorithm methodically organizes and assesses these anomalies, providing prompt alerts to operational teams about potential problems. In today's rapidly evolving digital environment, ensuring the availability of critical services and applications is vital. Businesses employing hybrid applications, particularly those running on IBM Z, face the growing challenge of pinpointing the root causes of issues due to rising costs, a lack of skilled labor, and changing user behaviors. By identifying anomalies within both log and metric data, organizations can proactively detect operational issues, thus averting costly incidents and facilitating smoother operations. Moreover, this robust analytics capability not only boosts operational efficiency but also fosters improved decision-making processes across organizations, ultimately enhancing their overall performance. As such, the integration of IBM Z Anomaly Analytics can lead to significant long-term benefits for enterprises striving to maintain a competitive edge.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Qualytics

Date Founded

2020

Company Location

United States

Company Website

qualytics.co

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

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

Categories and Features

Data Quality

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

Categories and Features

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