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What is Ecoveritas?

Ecoveritas combines its expertise in Extended Producer Responsibility (EPR) with two key platforms: Ecohub, a secure data management system for EPR, and Ecoview, an analytical environment for packaging data, to guide companies in achieving packaging compliance while turning their reporting information into actionable insights. Ecohub efficiently gathers and organizes diverse data types, such as sales figures, purchase records, supplier information, and packaging specifics, while also streamlining the processes of data validation and cleansing. This powerful platform establishes the foundation for innovative EPR calculation models that skillfully translate verified data into material weights and outputs suitable for submission across multiple regulatory environments. By cross-referencing historical data with current packaging information, anomalies are detected, and verified sample weights are utilized to fill in any gaps in supplier data, ensuring that comprehensive datasets are consistently upheld. Additionally, Ecoview amplifies the analytical potential of this data, allowing teams to analyze packaging at various levels, including component, supplier, and material, while also forecasting future EPR obligations and associated regulatory costs. This holistic strategy not only facilitates compliance but also equips businesses with the knowledge necessary to make strategic decisions regarding their packaging practices, ultimately contributing to a more sustainable future. The integration of these technologies ensures that companies are better prepared to meet evolving regulatory demands.

What is Clindata Cloud?

Clindata Cloud consolidates pre-clinical, clinical, and Risk Metric information from diverse sources, delivering clinical operations teams with ready-to-submit data sets, complete with analytics and alerts for risk-based monitoring. By integrating and harmonizing study data from various origins into a singular data model, it guarantees that incoming information undergoes validation for elements like completeness, accuracy, integrity, and consistency, while also issuing alerts for any detected anomalies or risk indicators. The data is standardized in accordance with CDISC data standards, which minimizes extraneous noise and streamlines the generation of real-time, ready-to-submit data sets, enabling continuous validation and analysis. Furthermore, it offers real-time analytics derived from the standardized data, providing crucial insights for clinical decision-making in a timely manner. This holistic approach not only improves the efficiency and reliability of clinical operations but also empowers teams with the tools needed for proactive risk management. Consequently, Clindata Cloud stands as a vital resource in enhancing the overall quality of clinical research.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Ecoveritas

Date Founded

1999

Company Location

United Kingdom

Company Website

www.ecoveritas.com

Company Facts

Organization Name

Clinical Data

Company Website

www.clindatainc.com

Categories and Features

Categories and Features

Clinical Trial Management

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

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