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What is Sweft?

Before Sweft was introduced, buyers struggled with the daunting task of launching new product lines every season while needing to communicate a wealth of information about each product, often relying on outdated lists and spreadsheets that quickly lost their relevance. However, with the advent of Sweft, buyers are now equipped to provide an up-to-date, comprehensive overview of seasonal items, allowing the entire team to access the most current information instantly, which is fluid and not fixed. Furthermore, reports can now include images, greatly improving the effectiveness of communication among team members. Despite the creativity and customer awareness that effective buyers typically possess, they frequently become overwhelmed by repetitive tasks, such as entering data into multiple systems and spreadsheets, as well as the ongoing need to liaise with vendors for samples and specifications. Consequently, the potential for innovation can often be hindered by these tedious responsibilities, diverting focus from more strategic endeavors. This transition to a more streamlined process not only enhances efficiency but also enables buyers to concentrate on what is truly important: delivering outstanding products to their customers while fostering a culture of creativity and innovation. Ultimately, by reducing the burden of mundane tasks, Sweft paves the way for a more dynamic and responsive buying process.

What is PASS ?

PASS software provides an extensive array of tools for calculating sample sizes across more than 1,100 statistical tests and confidence interval scenarios, outpacing any other sample size software available in the market. Each tool has been rigorously validated through both published research and authoritative texts. You can explore PASS by signing up for a free trial, viewing the introductory video, or browsing the website. With over 25 years of continuous improvement, PASS has positioned itself as the preferred software for sample size calculations in clinical trials, pharmaceuticals, and a broad spectrum of medical research applications. Additionally, it has earned acclaim in various other fields where precise sample size determination is essential. PASS streamlines the process of calculating the necessary sample size for a statistical test or confidence interval in just a few straightforward steps. If you need help at any point, comprehensive documentation, free training videos, and access to a team of Ph.D. statisticians for expert assistance are readily available. This dedication to user support guarantees that researchers can effectively harness the software to fulfill their specific research requirements. Ultimately, PASS stands out not only for its functionality but also for its commitment to empowering users in their statistical endeavors.

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 Trial Offered?
Free Version

Pricing Information

$395 per year
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

Sweft

Date Founded

2018

Company Location

United States

Company Website

www.gosweft.com/home-2/before-after/

Company Facts

Organization Name

NCSS

Date Founded

1983

Company Location

United States

Company Website

www.ncss.com/software/pass/

Categories and Features

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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