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What is StarLifter?

Enabling business users to harness the simplicity of a spreadsheet along with the comprehensive functionalities of a business intelligence tool is crucial for modern enterprises. Historically, the realm of business intelligence has been tied to the requirement for specialized expertise, significant monetary expenditure, and protracted implementation phases. While BI tools may present visually appealing dashboards, they frequently lack in the area of reporting, prompting users to revert to spreadsheets for their analytical needs. StarLifter provides an all-inclusive solution that caters to your data analysis needs within a single platform. Although point solutions may tackle specific issues within distinct departments, they tend to obstruct cross-departmental analysis, leading users back to spreadsheets once again. By addressing departmental challenges and improving data analysis organization-wide, companies can reduce their dependence on complex formulas and calculations understood by only a few individuals. Furthermore, the intuitive drag-and-drop interface allows for a more efficient and user-friendly analysis experience, making data insights universally accessible. This approach not only streamlines the data analysis process but also empowers all stakeholders to interact with the data effectively, promoting collaboration and informed decision-making across the entire organization. In this way, every team member can contribute to a culture of data-driven insights and strategic growth.

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

Palantir Apollo
Palantir Foundry

Integrations Supported

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

StarLifter

Company Location

United States

Company Website

www.starlifter.io

Company Facts

Organization Name

Palantir Technologies

Date Founded

2003

Company Location

United States

Company Website

www.palantir.com/palantir-gotham/

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Analysis

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

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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