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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 Lyftrondata?

If you aim to implement a governed delta lake, build a data warehouse, or shift from a traditional database to a modern cloud data infrastructure, Lyftrondata is your ideal solution. The platform allows you to easily create and manage all your data workloads from a single interface, streamlining the automation of both your data pipeline and warehouse. You can quickly analyze your data using ANSI SQL alongside business intelligence and machine learning tools, facilitating the effortless sharing of insights without the necessity for custom coding. This feature not only boosts the productivity of your data teams but also speeds up the process of extracting value from data. By defining, categorizing, and locating all datasets in one centralized hub, you enable smooth sharing with colleagues, eliminating coding complexities and promoting informed, data-driven decision-making. This is especially beneficial for organizations that prefer to store their data once and make it accessible to various stakeholders for ongoing and future utilization. Moreover, you have the ability to define datasets, perform SQL transformations, or transition your existing SQL data processing workflows to any cloud data warehouse that suits your needs, ensuring that your data management approach remains both flexible and scalable. Ultimately, this comprehensive solution empowers organizations to maximize the potential of their data assets while minimizing technical hurdles.

Media

Media

Integrations Supported

Microsoft Excel

Integrations Supported

Microsoft Excel
Adobe Analytics
Docusign
Eventbrite
Everhour
HubSpot Customer Platform
Insightly
Klaviyo
MariaDB
Microsoft Dynamics 365 Marketing
Microsoft Exchange
Microsoft OneDrive
Oracle Fusion Cloud Financials
Pipedrive
PubNub
Sage CRM
Sugar Connect
ThoughtSpot
Vertica

API Availability

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

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
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

Lyftrondata

Date Founded

2017

Company Location

United States

Company Website

lyftron.com

Categories and Features

ETL

Match & Merge
Metadata Management

Categories and Features

Data Lake

Not specified

Data Pipeline

Not specified

Data Preparation

Not specified

Data Replication

Not specified

Data Virtualization

Not specified

Data Warehouse

Not specified

DataOps

Not specified

ETL

Not specified

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