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What is Vizcab Eval?

Vizcab Eval provides a robust solution for swiftly producing reliable and detailed building ACV studies and percussive assessments. With just a few clicks, you can seamlessly import your DPGF-type measurements in conjunction with your RSET. To improve your entries, our keyword-based research panel offers in-depth insights into your data. Our alert system simplifies the correction process while automatically associating your components for a more efficient workflow. You can observe results in real-time, whether on a global scale or in individual batches, displayed through intuitive tables and graphs that ensure adherence to set standards. With a quick overview, you can identify the most impactful elements of your project and make necessary optimizations. Our FDES scoring system aids you in choosing the most eco-friendly products on the market. Collaboration is effortless with our intuitive platform, which facilitates smooth interactions among team members. In addition, you can export your outcomes in various graphical formats and customize study reports to meet your unique requirements. Moreover, retrieving your RSEE export in Excel format allows for seamless data integration into Vizcab Eval, where your components will automatically link with their corresponding plugs. This holistic approach not only improves project management efficiency but also enhances accuracy throughout the process. Ultimately, Vizcab Eval empowers you to make informed decisions that drive sustainability and effectiveness in your projects.

What is BiG EVAL?

The BiG EVAL solution platform provides powerful software tools that are crucial for maintaining and improving data quality throughout every stage of the information lifecycle. Constructed on a solid code framework, BiG EVAL's software for data quality management and testing ensures high efficiency and adaptability for thorough data validation. The functionalities of this platform are the result of real-world insights gathered through partnerships with clients. Upholding superior data quality across the entirety of your information's lifecycle is essential for effective data governance, which significantly influences the business value extracted from that data. To support this objective, the automation tool BiG EVAL DQM plays a vital role in managing all facets of data quality. Ongoing quality evaluations verify the integrity of your organization's data, providing useful quality metrics while helping to tackle any emerging quality issues. Furthermore, BiG EVAL DTA enhances the automation of testing activities within your data-driven initiatives, further simplifying the entire process. By implementing these solutions, organizations can effectively enhance the integrity and dependability of their data assets, leading to improved decision-making and operational efficiency. Ultimately, strong data quality management not only safeguards the data but also enriches the overall business strategy.

Media

Media

Integrations Supported

Microsoft Excel
XML

Integrations Supported

Kylo
SAP Cloud Platform
Teradata VantageCloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Vizcab

Company Location

France

Company Website

vizcab.io/vizcab-eval

Company Facts

Organization Name

BiG EVAL

Date Founded

2010

Company Location

Switzerland

Company Website

bigeval.com/platform/

Categories and Features

Emissions Management

Not specified

Environmental

Not specified

ESG

Not specified

ESG Reporting

Not specified

Categories and Features

Data Preparation

Not specified

Data Quality

Not specified

Data Validation

Not specified

Test Data Management

Not specified

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