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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 Data360 DQ+?

To bolster the integrity of your data both during transmission and while it is stored, it is crucial to adopt advanced techniques in monitoring, visualization, remediation, and reconciliation. Cultivating a strong commitment to data quality should be fundamental to your organization's ethos. Strive to exceed conventional data quality evaluations in order to develop a thorough understanding of your data as it moves throughout your organization, irrespective of its location. Implementing continuous quality monitoring and detailed point-to-point reconciliation is vital in building confidence in your data and delivering trustworthy insights. Data360 DQ+ simplifies the evaluation of data quality across the entire data supply chain, starting from when information first enters your organization and continuing to oversee data in transit. Operational data quality practices, such as verifying counts and amounts from diverse sources, tracking timeliness to meet both internal and external service level agreements (SLAs), and ensuring totals stay within established limits, are critical. By adopting these methodologies, organizations can greatly enhance their decision-making capabilities and drive overall performance improvements. Furthermore, integrating these processes into daily operations fosters a culture of accountability and precision, which ultimately leads to greater organizational success.

Media

Media

Integrations Supported

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

Integrations Supported

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

Precisely

Date Founded

1968

Company Location

United States

Company Website

www.precisely.com/product/precisely-data360/data360-dq

Categories and Features

Data Quality

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

Categories and Features

Data Quality

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

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