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What is SDTM-ETL?

A groundbreaking software solution is now available, delivering the best cost-benefit ratio for the creation of SDTM/SEND datasets and define.xml! Known as SDTM-ETL, this software is celebrated as the most economical and valuable tool in the market for generating SDTM and SEND datasets. It only necessitates that your EDC system can export clinical data in the widely accepted CDISC ODM format, which is typically supported by most EDC systems. Remarkably, SDTM-ETL operates independently of SAS®, which means you will not need to bear the expense of a SAS® license or any other statistical software. The software boasts a highly user-friendly graphical interface that enables users to create most mappings effortlessly through straightforward drag-and-drop functionality or mouse clicks. Furthermore, the define.xml files (versions 2.0 or 2.1) are produced automatically, and users can easily input details using intelligent wizards, thereby removing the hassle of tedious XML editing and complicated Excel spreadsheets. Many CROs and service providers have already adopted SDTM-ETL for their regulatory submission processes, making it a favored option in the industry. This innovative tool is not only enhancing clinical data management but is also simplifying the submission journey for numerous organizations. As a result, it stands poised to revolutionize the industry standards and practices in clinical data handling.

What is Datagaps ETL Validator?

DataOps ETL Validator is a comprehensive solution designed for automating the processes of data validation and ETL testing. It provides an effective means for validating ETL/ELT processes, simplifying the testing phases associated with data migration and warehouse projects, and includes a user-friendly interface that supports both low-code and no-code options for creating tests through a convenient drag-and-drop system. The ETL process involves extracting data from various sources, transforming it to align with operational requirements, and ultimately loading it into a specific database or data warehouse. Effective testing within this framework necessitates a meticulous approach to verifying the accuracy, integrity, and completeness of data as it moves through the different stages of the ETL pipeline, ensuring alignment with established business rules and specifications. By utilizing automation tools for ETL testing, companies can streamline data comparison, validation, and transformation processes, which not only speeds up testing but also reduces the reliance on manual efforts. The ETL Validator takes this automation a step further by facilitating the seamless creation of test cases through its intuitive interfaces, enabling teams to concentrate more on strategic planning and analytical tasks rather than getting bogged down by technical details. Consequently, it empowers organizations to enhance their data quality and improve operational efficiency significantly, fostering a culture of data-driven decision-making. Additionally, the tool's capabilities allow for easier collaboration among team members, promoting a more cohesive approach to data management.

Media

Media

Integrations Supported

Azure Databricks
Azure Synapse Analytics
Datagaps DataOps Suite
Microsoft Excel
Microsoft Power BI
Oracle Analytics Cloud
Salesforce
Snowflake
Tableau

Integrations Supported

Azure Databricks
Azure Synapse Analytics
Datagaps DataOps Suite
Microsoft Excel
Microsoft Power BI
Oracle Analytics Cloud
Salesforce
Snowflake
Tableau

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

XML4Pharma

Company Location

Austria

Company Website

www.xml4pharma.com/SDTM-ETL/

Company Facts

Organization Name

Datagaps

Company Location

United States

Company Website

www.datagaps.com/etl-validator/

Categories and Features

ETL

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

Categories and Features

ETL

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

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