What is Coheris Spad?

Coheris Spad, created by ChapsVision, is a self-service data analysis tool specifically designed for Data Scientists in various fields and industries. Its widespread adoption in numerous prestigious educational institutions, both in France and internationally, highlights its reputation among professionals in the data science community. The platform provides a comprehensive methodological framework that includes a broad range of data analysis techniques. Users enjoy a user-friendly interface that enables them to efficiently explore, prepare, and analyze their data. It offers seamless connections to various data sources, facilitating effective data preparation. Moreover, Coheris Spad comes equipped with an extensive library of data processing functions, such as filtering, stacking, aggregation, transposition, joining, and handling missing values, among others, which empowers users to conduct in-depth and meaningful analyses. The platform also aids in identifying unusual distributions and provides statistical or supervised recoding and formatting options. Additionally, the adaptability and comprehensive capabilities of Coheris Spad make it an essential tool for both beginners and seasoned data analysts, ensuring that all users can harness its full potential for their analytical needs.

Integrations

No integrations listed.

Screenshots and Video

Coheris Spad Screenshot 1

Company Facts

Company Name:
ChapsVision
Date Founded:
2019
Company Location:
France
Company Website:
www.chapsvision.com/softwares-data/data-mining-machine-learning/

Product Details

Deployment
SaaS
Windows
Training Options
Online Training
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

Coheris Spad Categories and Features

Data Preparation Software

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Mining Software

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

Data Analysis Software

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