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What is Datagaps DataOps Suite?

The Datagaps DataOps Suite is a powerful platform designed to streamline and enhance data validation processes across the entire data lifecycle. It offers an extensive range of testing solutions tailored for functions like ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) initiatives. Among its key features are automated data validation and cleansing capabilities, workflow automation, real-time monitoring with notifications, and advanced BI analytics tools. This suite seamlessly integrates with a wide variety of data sources, which include relational databases, NoSQL databases, cloud-based environments, and file systems, allowing for easy scalability and integration. By leveraging AI-driven data quality assessments and customizable test cases, the Datagaps DataOps Suite significantly enhances data accuracy, consistency, and reliability, thus becoming an essential tool for organizations aiming to optimize their data operations and boost returns on data investments. Additionally, its intuitive interface and comprehensive support documentation ensure that teams with varying levels of technical expertise can effectively utilize the suite, promoting a cooperative atmosphere for data management across the organization. Ultimately, this combination of features empowers businesses to harness their data more effectively than ever before.

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.

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Integrations Supported

AWS Marketplace
DataOps DataFlow
Datagaps ETL Validator
Safyr

Integrations Supported

AWS Marketplace
DataOps DataFlow
Datagaps ETL Validator
Safyr

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

Datagaps

Date Founded

2010

Company Location

United States

Company Website

www.datagaps.com

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

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Data Quality

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

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

Data Quality

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

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