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What is Orange?

Leverage open-source machine learning platforms and data visualization methods to construct dynamic data analysis workflows in a visually appealing manner, drawing on a diverse array of resources. Perform basic data evaluations complemented by meaningful visual representations, while exploring statistical distributions through techniques such as box plots and scatter plots; for more intricate analyses, apply decision trees, hierarchical clustering, heatmaps, multidimensional scaling, and linear projections. Even complex multidimensional datasets can be efficiently visualized in 2D using clever attribute selection and ranking strategies. Engage in interactive data exploration to facilitate rapid qualitative assessments, enhanced by intuitive visualizations. The accessible graphical interface allows users to concentrate on exploratory data analysis rather than coding, while smart defaults support the swift development of data workflows. Simply drag and drop widgets onto your canvas, connect them, import your datasets, and derive insightful conclusions! In teaching data mining principles, we emphasize demonstration over mere explanation, and Orange stands out in making this method both effective and enjoyable. This platform not only streamlines the process but also significantly enhances the educational experience for users across various expertise levels. By integrating engaging elements into the learning process, users can better grasp the complexities of data analysis.

What is DataStories?

Research from Forrester reveals that a considerable amount of data generated in businesses, estimated to be between 60% and 73%, goes unused for analytical insights. Explore how we can help you harness the complete potential of your data. DataStories has transformed advanced machine learning into a tool that is both accessible and understandable for those without a technical background. The DataStories Platform serves as an AI-powered solution designed to offer straightforward and intuitive insights in less than 30 minutes, helping you to comprehend, predict, and navigate your business goals using pertinent data. At DataStories, our goal is to empower users to base their decisions on data-driven insights. We offer a self-service analytics platform specifically designed for business professionals who often feel alienated from the analytics process due to the intricacies of traditional tools. With our user-friendly platform, you can perform your own analyses and share your discoveries through engaging and easily interpretable data narratives, which can be conveniently exported to PowerPoint for wider distribution and influence. By streamlining the analytics journey, we strive to make data-informed decision-making accessible to everyone within organizations, ensuring that no valuable insight is left untapped. In doing so, we hope to foster a culture of collaboration and informed decision-making across all levels of a business.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

University of Ljubljana

Company Location

Slovenia

Company Website

orange.biolab.si

Company Facts

Organization Name

DataStories International

Date Founded

2011

Company Location

Belgium

Company Website

datastories.com

Categories and Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

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

Categories and Features

Data Analysis

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

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Machine Learning

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

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