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.

Screenshots and Video

Palantir Gotham Screenshot 1

Company Facts

Company Name:
Palantir Technologies
Date Founded:
2003
Company Location:
United States
Company Website:
www.palantir.com/palantir-gotham/
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Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Palantir Gotham Categories and Features

Qualitative Data Analysis Software

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

Data Analysis Software

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

Big Data Software

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