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What is Stagraph?

Streamline your data management processes with Stagraph, an intuitive visual platform that combines the power of data-science languages with the simplicity of Excel. This comprehensive tool removes the complexities of moving data across various applications, providing a cohesive environment for data import, wrangling, and visualization. With just a few clicks, you can produce actionable insights without needing to write any code. Stagraph is designed for flexibility, allowing you to export your findings for use beyond the platform, whether in offline formats or online interactive dashboards, reports, and other business intelligence applications and R-based tools. Its user interface easily connects to key file formats like Excel, CSV, and DBF, and it also facilitates data retrieval from databases via ODBC connections. Users have the ability to develop custom datasets using the integrated spreadsheet feature and can access almost any data source by leveraging external R packages, positioning Stagraph as a highly adaptable option for data analysis. The platform encourages endless opportunities for data exploration and utilization, ensuring that you always have the essential tools readily available for your projects and tasks. By using Stagraph, you can transform your data management experience into a more efficient and productive journey.

What is Cegal Prizm?

Cegal Prizm is a versatile tool designed to enable the smooth integration of data from multiple geo-applications, data sources, and platforms within the Python ecosystem. Its modular architecture allows users to combine geo-data sources for advanced analysis, visualization, data science processes, and machine learning tasks. This innovation provides solutions to challenges that traditional systems struggled to address effectively. By leveraging modern Python technologies, users can enhance, accelerate, and refine standard workflows while developing and securely distributing customized code, services, and technologies to a community of users. Moreover, it easily interfaces with the E&P software platform Petrel, OSDU, and various third-party applications and domains, facilitating the access and retrieval of energy-related data. Data can be transferred efficiently, whether in local setups or across hybrid and cloud environments, into a cohesive Python framework that yields deeper insights and greater value. Additionally, Prizm allows for the augmentation of datasets with extra application metadata, enriching the analytical processes with added depth and context. This capability not only enhances the datasets but also promotes a collaborative atmosphere among users, encouraging innovation and shared learning within the community. The integration of such features makes Cegal Prizm a pivotal solution for modern data challenges in the geospatial domain.

Media

Media

Integrations Supported

Petrel
Python

Integrations Supported

Petrel
Python

API Availability

Has API

API Availability

Has API

Pricing Information

$199 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

Stagraph

Company Location

Slovakia

Company Website

stagraph.com

Company Facts

Organization Name

Cegal

Date Founded

2000

Company Location

Norway

Company Website

www.cegal.com/en/software/data-science-and-cegal-prizm

Categories and Features

Data Visualization

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

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

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