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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.

What is EY Cloud Data IQ?

Raw data can be likened to an uncut diamond, necessitating extensive processing and refinement to reveal its intrinsic value. The EY Cloud Data IQ platform has been specifically designed to address this necessity; it serves as a subscription-based analytical tool that caters to wealth and asset management companies, empowering them to utilize data effectively to improve their offerings for investors, regulators, and the overall market. Hosted in the cloud and managed by EY, this platform utilizes advanced visualizations and Artificial Intelligence (AI) to provide organizations with a thorough, real-time view of customer interactions, intuitive client reporting, and detailed management insights. Additionally, it effectively merges both structured and unstructured data sources, including social media contributions, audio, and video streams, into a singular, reliable, and transparent repository for users. This capability not only enhances the depth of insights that firms can obtain but also fosters more informed decision-making founded on a wider array of data inputs. Ultimately, the platform stands as a vital tool for organizations aiming to navigate the complexities of the modern data landscape.

Media

Media

Integrations Supported

Braight
Malbek
Palantir Apollo
Palantir Foundry
Snowflake Cortex AI

Integrations Supported

Braight
Malbek
Palantir Apollo
Palantir Foundry
Snowflake Cortex AI

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

Palantir Technologies

Date Founded

2003

Company Location

United States

Company Website

www.palantir.com/palantir-gotham/

Company Facts

Organization Name

EY

Company Location

United Kingdom

Company Website

www.ey.com/en_us/wealth-asset-management/cloud-data-iq

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

Categories and Features

Data Analysis

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

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