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What is Thinknum Alternative Data?

Utilize the vast resources of the internet to enhance your competitive edge over others in your industry. Many businesses are now outpacing their competitors by tapping into previously overlooked online data. By keeping track of various corporate activities, alternative datasets reveal significant strategic changes within companies. Observing trends such as hiring and layoffs, client interactions, product distribution, and numerous performance indicators can provide valuable insights. Investors can make well-informed decisions with the assistance of Thinknum Alternative Data, which allows analysts to identify actionable insights by closely examining company performance trajectories. The user-friendly software simplifies the process of extracting insights, enabling swift data queries without requiring extensive technical knowledge. You can easily create and share queries with intuitive tools designed for simplicity and efficiency. Moreover, visualizing data through pre-built maps, charts, word clouds, and other advanced representations facilitates quick understanding of complex information. To enhance your proactive approach, you can establish alerts to be updated on critical changes and emerging trends within the market. By staying informed, you empower yourself to adapt strategies and make timely decisions that drive success.

What is Google Cloud Datalab?

Cloud Datalab serves as an intuitive interactive platform tailored for data exploration, analysis, visualization, and machine learning. This powerful tool, created for the Google Cloud Platform, empowers users to investigate, transform, and visualize their data while efficiently developing machine learning models. Utilizing Compute Engine, it seamlessly integrates with a variety of cloud services, allowing you to focus entirely on your data science initiatives without unnecessary interruptions. Constructed on the foundation of Jupyter (formerly IPython), Cloud Datalab enjoys the advantages of a dynamic ecosystem filled with modules and an extensive repository of knowledge. It facilitates the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, using Python, SQL, and JavaScript for user-defined functions in BigQuery. Whether your data is in the megabytes or terabytes, Cloud Datalab is adept at addressing your requirements. You can easily execute queries on vast datasets in BigQuery, analyze local samples of data, and run training jobs on large datasets within the AI Platform without any hindrances. This remarkable flexibility makes Cloud Datalab an indispensable tool for data scientists who seek to optimize their workflows and boost their productivity, ultimately leading to more insightful data-driven decisions.

Media

Media

Integrations Supported

BattleFin Ensemble
DataLab
Google Cloud Platform
Google Workspace
Jupyter Notebook

Integrations Supported

BattleFin Ensemble
DataLab
Google Cloud Platform
Google Workspace
Jupyter Notebook

API Availability

Has API

API Availability

Has API

Pricing Information

$16800 per user, per year
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

Thinknum Alternative Data

Date Founded

2014

Company Location

United States

Company Website

www.thinknum.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/datalab

Categories and Features

Data Analysis

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

Data Management

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

Market Research

Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management

Categories and Features

Data Analysis

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

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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