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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 Palantir Gotham?

Integrating, managing, securing, and analyzing all organizational data is essential for modern enterprises. Data represents a crucial asset for businesses, and its sheer volume is staggering. It encompasses both structured formats, like log files, spreadsheets, tables, and charts, as well as unstructured forms, including emails, documents, images, videos, and more. Often, this data is stored across various disconnected systems, leading to a proliferation of types and an escalating volume that complicates its usability over time. Users reliant on this data do not categorize their needs into rows, columns, or mere text; instead, they focus on their organization's objectives and the challenges they encounter. They seek the ability to pose questions about their data and receive insights in a context that resonates with them. The Palantir Gotham Platform offers a robust solution to this problem. By integrating and transforming diverse types of data into a unified asset, Palantir Gotham enhances and categorizes information into clearly defined entities, including objects, individuals, locations, and events, thereby facilitating more informed decision-making. Ultimately, this platform empowers organizations to navigate their data landscape more effectively.

Media

Media

Integrations Supported

Malbek
Palantir Apollo
Palantir Foundry

Integrations Supported

Malbek
Palantir Apollo
Palantir Foundry

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

Palantir Technologies

Date Founded

2003

Company Location

United States

Company Website

www.palantir.com/palantir-gotham/

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

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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

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