Scilab Features

Data quality consists of deduplication, cleansing, and appending your marketing database.

Allows users to select samples of data for defined procedures.

Share data across your organization.

Allows users to manage data from a number of sources

Receive data and information in real time

Statistical methods to assist with and maintain quality control of processes

Communicate complex information clearly and effectively through advanced graphical techniques.

Supports evaluation of durations, events, and reliability in relation to statistical analysis

Identify risk data attributes such as description, category, owner, or hierarchy.

Tools to analyze financial data in order to gain usable insights.

Analysis of data sets that contain more than one variable

Provides varying estimates based on different scenarios

Apply statistical/mathematical models to sets of data

A statistical method, based on Bayesian inference, that expresses unknown parameters as probability statements

Review data from past periods to reveal recurring tendencies and predict future performance

Analysis to understand which of the independent variables are related to the dependent variable

Supports analysis of variance (ANOVA) to determine observed variance.

Supports various regression methods such as ordinary least squares (OLS), weighted least squares (WLS), or generalized linear model (GLM).

Supports the analysis of time series data for predictive analytics and exploratory analysis.

Ability to modify 3D primitives (parametric editing tools, free-form editing tools, symmetrical editing process, etc.)

Ability to access basic drawing tools (line, circle, polygons, etc.)

Ability to access basic editing tools (erase, trim, extend, undo, etc.)

Ability to access rendering tools (lighting tools, texture mapping, custom material creation, etc.)

probability model based on random variations of variables

Share and present designs

Ability to conduct computational fluid dynamics and thermal analysis

Ability to conduct finite element analysis test

Ability to conduct kinematics and dynamic analysis of mechanisms

Simulate physical behavior for a design or structure

Ability to model discrete event simulation such as analyzing event-driven system models and optimizing performance characteristics such as latency, throughput, and packet loss.

Ability to model continous event simulation

Ability to conduct mechanical event simulation

Ability to model a manufacturing processes like casting, molding and die press forming

Ability to integrate with CAD and PLM software

model to predict fluid dynamics, not limited to airflow

simulation based on physical movement

Ability to learn and adapt from interactions with environment and data, and to model varying behavior over time.

Representing and explaining real systems and occurrences using math formulas, descriptions, and approaches

Model actions and effects based on autonomous agents in a system

stochastic model based on repeated random sampling

Ability to support a sufficient number of hardware developers (by default or through the use of custom drivers).

Support for custom interfaces designed around specific design tasks, by default (out of the box) or through user customization.

Support for multiple user interface customizations. Can store and recall interfaces as required by a specific user without closing the application and without the need for scripting knowledge.

Names of basic commands are clear and easy to understand. On-cursor documentation, such as tool tips and pop-up descriptions, provide clarification of icons and other user interface elements.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Use AI to generate content in the form of text, images, videos, etc.

Track and report regulatory data to either internal management or external stakeholders

Active reporting of data and metrics

Assess the performance of a method by picking a random sample from a normal distribution

Form predictions based on past and present data/trends

A classification and/or predictive modeling technique used for data analysis

Interact with data visualization elements, such as charts and graphs, to drill down into data

Define levels of authorization for access to specific files or systems

Connect to big data sources

Alter the layout and content of reports

Assemble applications and processes by dragging over and arranging pre-built components

Access, combine, transform, and store data without the help of an IT department

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Translate EDI formats into data suitable for use with company applications.

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

View and track pertinent metrics to find patterns and gain insights from data

Predict future data based on historical data sets

Application programming interface that allows for integration with other systems/databases

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Machine learning method, based on rules, to find interesting relationships between variables in large databases

Generate one-off reports that meet information requirements

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Set up connections to third-party platforms to improve business processes

Create labels for products that contain required information such as colors, sizes, dates, etc.

Search and filter data across systems to locate required information by entering keywords or certain criteria

Observe and track the demand, usage, progress or quality of a system, product, or user

Clustering or grouping objects based on data similarities

Import and export data to and from software applications

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Store and access documents, forms, and photos in one centralized place

Support tool that enables users to progress through a series of steps to solve a problem

Create multiple models or equations for generating scores

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Configure existing workflows to meet your organization's needs

Application programming interface that allows for integration with other systems/databases

Process of checking different types of data for accuracy to avoid errors or inconsistencies

Graphical representation of data

Use AI to generate content in the form of text, images, videos, etc.

Representation of any object in 3D

Estimate or forecast of a future scenario based on the study of present trends

Import and export data to and from software applications

Collaborate on creating a product by sharing and adjusting designs through a shared portal

Assemble applications and processes by dragging over and arranging pre-built components

Active monitoring of systems, applications, or networks

Track revisions and updates made to files and navigate between different versions

Interact with data visualization elements, such as charts and graphs, to drill down into data

Set up connections to third-party platforms to improve business processes

Define levels of authorization for access to specific files or systems

Create, design and manage workflows for repetitive tasks

Capabilities within graphical user interfaces that allow users to interact directly with objects to perform a task

Develop potential scenarios to identify risks and opportunities

Capture, organize and track product-specific data and information in a centralized location

Predict future data based on historical data sets

Track and monitor efficient handling of all changes/transitions

Monitor and manage manufacturing and production processes.

Create labels for products that contain required information such as colors, sizes, dates, etc.

Centralized repository to store content and assets

Store, manage, and track all electronic documents in a centralized location

Receive data and information in real time

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Create, save, and store files

Track and manage adherence to policies for any service, product, process, or supplier

Create, manage, and track policies and procedures within an organization

Visual representation of data using various graphical elements such as charts, graphs, maps & other visual aids

Alter the layout and content of reports

Create, design and modify the flow and processes of tasks in a project

View and track pertinent metrics to find patterns and gain insights from data

Database containing variables, data, and templates for mathematical analysis

Create, manage, or update project workflows.

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Organize and manage the accomplishments and development of employees or performance of applications or systems