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What is dataFactory?

Remove all manual processes, potential sources of error, and inefficiencies to streamline operations. Eliminate the necessity to frequently reconfigure your data warehouse with each change in business needs. Introduce automated quality checks both among and within data sources and ensure prompt responses to any arising issues, as this is crucial for many data users. It is vital to have complete confidence in your data today. Establish a "gold record" reference point that guarantees business teams can always access the latest information available. Create a single, unified version of the truth that is accessible anytime and from anywhere. Develop an intermediate model that organizes, stores, and maintains your data independently of its intended use. Be quick to adapt to changing data sources and business questions. Integrate all data sources—from data lakes and operational systems to spreadsheets and legacy applications—just as you did with the initial one. Ensure that data is stored, preserved, and improved in quality to facilitate the automation of data warehouse processes. Organize, enrich, and meticulously document your data so that it is readily available in well-structured datasets, often referred to as information marts. By doing this, you lay the foundation for more effective decision-making throughout the organization, ultimately fostering a culture of data-driven insights and innovation.

What is Tricentis Data Integrity?

To thrive in the online marketplace, maintaining the highest quality and decision-ready data is crucial, as it drives your essential operations. Tricentis Data Integrity guarantees that your data remains complete and fit for purpose as it moves from initial source systems to data warehouses and eventually into your reports, dashboards, and business functions. The path that your analytical and operational data follows is often filled with potential disruptions due to the complexities of the modern IT landscape. By utilizing Tricentis Data Integrity, you can prevent costly issues down the line by detecting data errors at an early stage through a solution that provides automated and ongoing testing throughout all phases. In today's fast-evolving digital environment, depending on traditional data testing methods is insufficient. Outdated manual checks are not only labor-intensive and slow but also lack the necessary scalability, while isolated solutions can introduce dangerous gaps in data integrity. It is increasingly vital to adopt advanced testing tools to ensure the reliability of your data and the success of your operations, as the stakes continue to rise in this digital age. Companies that prioritize data integrity through innovative solutions will be better positioned to navigate the complexities of the digital landscape.

Media

Media

Integrations Supported

Google Sheets
Microsoft Excel
Microsoft Power BI
Qlik Data Integration
SAP Store
SBOX
Tableau
Toucan

Integrations Supported

Google Sheets
Microsoft Excel
Microsoft Power BI
Qlik Data Integration
SAP Store
SBOX
Tableau
Toucan

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

dFakto

Date Founded

2000

Company Location

Belgium

Company Website

www.dfakto.com/datafaktory-data-warehouse-automation/

Company Facts

Organization Name

Tricentis

Date Founded

2007

Company Location

United States

Company Website

www.tricentis.com/products/data-integrity/

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Automated Testing

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

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