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What is Tosmana?

Tosmana acts as an essential resource for performing Qualitative Comparative Analysis (QCA). This software facilitates both csQCA (Crisp-Set Qualitative Comparative Analysis) and mvQCA (Multi-Value QCA) evaluations. For more comprehensive insights on QCA, you can check the website of Charles Ragin along with the COMPASSS Research Group. The software's development commenced in 2000, and after a hiatus, its version 1.4 was released in June 2016, marking a significant resurgence in its evolution. Additionally, a complete redesign of the website occurred in the same month. Users can easily transfer data into TOSMANA by copying it directly from a spreadsheet application. To do this, simply open your dataset in the spreadsheet program, select the relevant data cells along with the variable names in the first row, and copy them. In TOSMANA, you can then go to File>Import from Clipboard to import the data, which will overwrite any existing information in the software. After successfully completing the import process, it is crucial to save your file in the correct format to maintain data integrity. This streamlined approach not only simplifies data management but also significantly improves the overall experience for users. Furthermore, the ability to easily import data can save time and reduce errors in analysis.

What is Crisp Data Platform?

At Crisp, we utilize advanced cloud technology to connect and analyze all your data sources in real-time, helping you discover valuable insights and trends specific to your business needs. Our approach integrates your data with a diverse range of brands, distributors, and retailers, showcasing the essence of Crisp. The platform delivers state-of-the-art industry insights and trends, setting a new standard for collaboration among retailers, distributors, and brands. Your data is presented on an intuitive dashboard that is easy to interpret, share, and automatically updated. With a wealth of information readily available, the challenge becomes figuring out the best way to use it effectively. How can you convert this data into actionable insights that drive success? Crisp provides you with the vital data necessary for achieving a significant competitive advantage. You can evaluate and structure multiple data sources, allowing for the collection and conversion of this data into unified, actionable insights that support a reliable supply chain. This transformative journey enables businesses to make well-informed decisions and rapidly adapt to the ever-changing market landscape, ultimately fostering growth and resilience. By leveraging Crisp's tools, companies can not only keep pace with changes but also anticipate future trends to stay ahead.

Media

Media

Integrations Supported

Amazon S3
Azure Blob Storage
DocsAI
Google Cloud BigQuery
Google Cloud Storage
Microsoft Excel
Microsoft Power BI
Snowflake
Tableau

Integrations Supported

Amazon S3
Azure Blob Storage
DocsAI
Google Cloud BigQuery
Google Cloud Storage
Microsoft Excel
Microsoft Power BI
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

Lasse Cronqvist

Company Location

Germany

Company Website

www.tosmana.net

Company Facts

Organization Name

Crisp

Date Founded

2016

Company Location

United States

Company Website

www.gocrisp.com

Categories and Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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