Plotly Dash Enterprise Features
Reports (5)
Reports Interface
Based on 12 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Reports interface for standard and self-service reports is intuitive and easy to use.
Steps to Answer
Requires a minimal number of steps/clicks to answer business question.
Graphs and Charts
Based on 19 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Offers a variety of attractive graph and chart formats.
Score Cards
Score cards visually track KPI's.
Dashboards
Based on 18 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design, refine and collaborate on their dashboards
Self Service (6)
Calculated Fields
Based on 12 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Using formulas based on existing data elements, users can create and calculate new field values.
Data Column Filtering
Based on 17 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Business users have the ability to filter data in a report based on predefined or automodeled parameters.
Data Discovery
Based on 15 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Users can drill down and explore data to discover new insights.
Search
Based on 11 Plotly Dash Enterprise reviews. Ability to search global data set to find and discover data.
Collaboration / Workflow
Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.
Automodeling
Tool automatically suggests data types, schemas and hierarchies.
Advanced Analytics (3)
Predictive Analytics
Analyze current and historical trends to make predictions about future events.
Data Visualization
Based on 14 Plotly Dash Enterprise reviews and verified by the G2 Product R&D team. Communicate complex information clearly and effectively through advanced graphical techniques.
Big Data Services
Ability to handle large, complex, and/or siloed data sets.
Building Reports (3)
Data Modeling
Ability to (re)structure data in a manner that allows extracting insights fast and accurate.
WYSIWYG Report Design
Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)
Integration APIs
Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.
Statistical Tool (3)
Scripting
Based on 11 Plotly Dash Enterprise reviews. Supports a variety of scripting environments
Data Mining
Mines data from databases and prepares data for analysis
Algorithms
Applies statistical algorithms to selected data
Data Analysis (2)
Analysis
Analyzes both structured and unstructured data 11 reviewers of Plotly Dash Enterprise have provided feedback on this feature.
Data Interaction
Based on 11 Plotly Dash Enterprise reviews. Interacts with data to prepare it for visualizations and models
Decision Making (4)
Modeling
Offers modeling capabilities
Data Visualizations
Creates data visualizations or graphs
Report Generation
Based on 10 Plotly Dash Enterprise reviews. Generates reports of data performance
Data Unification
Unifies information on a singular platform
Model Development (5)
Language Support
Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript
Drag and Drop
Offers the ability for developers to drag and drop pieces of code or algorithms when building models
Pre-Built Algorithms
Provides users with pre-built algorithms for simpler model development
Model Training
Supplies large data sets for training individual models
Feature Engineering
Transforms raw data into features that better represent the underlying problem to the predictive models
Machine/Deep Learning Services (6)
Computer Vision
Offers image recognition services
Natural Language Processing
Offers natural language processing services
Natural Language Generation
Offers natural language generation services
Artificial Neural Networks
Offers artificial neural networks for users
Natural Language Understanding
Offers natural language understanding services
Deep Learning
Provides deep learning capabilities
Deployment (3)
Managed Service
Manages the intelligent application for the user, reducing the need of infrastructure
Application
Allows users to insert machine learning into operating applications
Scalability
Provides easily scaled machine learning applications and infrastructure
Data Transformation (2)
Real-Time Analytics
Facilitates analysis of high-volume, real-time data.
Data Querying
Allows user to query data through query languages like SQL.
Connectivity (4)
Hadoop Integration
Aligns processing and distribution workflows on top of Apache Hadoop
Spark Integration
Aligns processing and distribution workflows on top of Apache Spark
Multi-Source Analysis
Integrates data from multiple external databases.
Data Lake
Facilitates the dissemination of collected big data throughout parallel computing clusters.
Operations (5)
Data Visualization
Processes data and represents interpretations in a variety of graphic formats.
Data Workflow
Strings together specific functions and datasets to automate analytics iterations.
Governed Discovery
Isolates certain datasets and facilitates management of data access.
Embedded Analytics
Allows big data tool to run and record data within external applications.
Notebooks
Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations
System (1)
Data Ingestion & Wrangling
Gives user ability to import a variety of data sources for immediate use
Data Preparation (2)
Connectors
Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.
Data Governance
Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data
Data Modeling and Blending (3)
Data Querying
Using formulas based on existing data elements, users can create and calculate new field values
Data Filtering
Business users have the ability to filter data in a report based on predefined or automodeled parameters.
Data Blending
Allows the user to combine data from multiple sources into a functioning dataset.
Generative AI (7)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text-to-Image
Provides the ability to generate images from a text prompt.
Agentic AI - Analytics Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Data Science and Machine Learning Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Deployment & Integration - Analytics Platforms (4)
No-code Dashboard Builder
Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces
Report Scheduling and Automation
Enables automated report generation and scheduled delivery to stakeholders
Embedded Analytics and White-labeling
Allows dashboards and analytics to be embedded into external apps with branding flexibility
Data Source Connectivity
Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications
Performance & Scalability - Analytics Platforms (2)
Large data handling and Query Speed
Efficiently processes large datasets with minimal lag and ensures high performance under load
Concurrent User Support
Maintains performance and uptime during high traffic from multiple users or teams
Advanced Analytics & Modeling - Analytics Platforms (3)
Data Modeling and Governance
Supports semantic data layers, role-based access controls, and metadata governance
Notebook and Script Integration
Integrates with Jupyter, Python, or R for custom analytics and modeling
Built-in Predictive and Statistical Models
Provides native tools for statistical analysis, forecasting, and trend prediction
Agentic AI Capabilities - Analytics Platforms (4)
Auto-generated Insights and Narratives
Uses AI to generate textual summaries, key takeaways, and data stories from dashboards
Natural Language Queries
Allows users to query data and build reports using conversational or plain language
Proactive KPI Monitoring and Alerts
Detects and notifies users about KPI anomalies or significant metric changes in real time
AI Agents for Analytical Follow-ups
Recommends next questions, analyses, or exploration paths using autonomous AI agents
Personalized Intelligence - Analytics Platforms (3)
Behavioral Learning for Contextual Query Refinement
Learns from historical user interactions to improve and personalize query results over time
Role-based Insight Personalization
Tailors dashboard views and suggestions based on user roles, access levels, and past behavior
Conversational and Prompt-based Analytics
Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying
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