Altair AI Studio Features
Reports (14)
Reports Interface
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
Offers a variety of attractive graph and chart formats.
Score Cards
Score cards visually track KPI's.
Dashboards
Provides business users an interface to easily design, refine and collaborate on their dashboards
Customizable Reports
Alter the layout and content of reports
Marketing Reports
Reports specific to marketing and associated campaigns
Sales Reports
Reports specific to sales analysis for trends and strategies
Activity Dashboard
Dashboard to view the status of ongoing processes, identify current incidents and track past activities
Interactive Reports
Edit and personalize data view as needed
Customizable Reports
Alter the layout and content of reports
Customizable Reports
Alter the layout and content of reports
Activity Dashboard
Dashboard to view the status of ongoing processes, identify current incidents and track past activities
Customizable Dashboard
Alter the layout and content of dashboards
Self Service (10)
Calculated Fields
Using formulas based on existing data elements, users can create and calculate new field values.
Data Column Filtering
Business users have the ability to filter data in a report based on predefined or automodeled parameters.
Data Discovery
Users can drill down and explore data to discover new insights.
Search
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.
Natural Language Search
Ability to interact with the application using human languages such as English
Visual Discovery
Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.
Data Blending
Merge data from multiple sources to a single data set
Data Blending
Merge data from multiple sources to a single data set
Advanced Analytics (8)
Predictive Analytics
Analyze current and historical trends to make predictions about future events.
Data Visualization
Communicate complex information clearly and effectively through advanced graphical techniques.
Big Data Services
Ability to handle large, complex, and/or siloed data sets.
Real-Time Analytics
Analyze and gain insights into data in real-time
Reporting/Analytics
View and track pertinent metrics to find patterns and gain insights from data
Real-Time Analytics
Analyze and gain insights into data in real-time
Reporting/Analytics
View and track pertinent metrics to find patterns and gain insights from data
Visual Analytics
Interact with data visualization elements, such as charts and graphs, to drill down into data
Building Reports (8)
Data Transformation
Converts data formats of source data into the format required for the reporting system without mistakes.
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.
Real-Time Data
Receive data and information in real time
Real-Time Data
Receive data and information in real time
Third-Party Integrations
Set up connections to third-party platforms to improve business processes
Third-Party Integrations
Set up connections to third-party platforms to improve business processes
Statistical Tool (3)
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Scripting
Supports a variety of scripting environments
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Data Mining
Mines data from databases and prepares data for analysis
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Algorithms
Applies statistical algorithms to selected data
Data Analysis (4)
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Analysis
Analyzes both structured and unstructured data
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Data Interaction
Interacts with data to prepare it for visualizations and models
Time Series Analysis
Series of data points indexed in time order
Trend Analysis
Review data from past periods to reveal recurring tendencies and predict future performance
Decision Making (5)
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Modeling
Offers modeling capabilities
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Data Visualizations
Creates data visualizations or graphs
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Report Generation
Generates reports of data performance
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Data Unification
Unifies information on a singular platform
Customizable Reports
Alter the layout and content of reports
Model Development (7)
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Language Support
Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript
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Drag and Drop
Offers the ability for developers to drag and drop pieces of code or algorithms when building models
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Pre-Built Algorithms
Provides users with pre-built algorithms for simpler model development
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Model Training
Supplies large data sets for training individual models
Database Support
Supports common databases such as MySQL and Oracle
Multi-Language
Manage and support multiple languages
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Feature Engineering
Transforms raw data into features that better represent the underlying problem to the predictive models
Machine/Deep Learning Services (6)
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Computer Vision
Offers image recognition services
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Natural Language Processing
Offers natural language processing services
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Natural Language Generation
Offers natural language generation services
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Artificial Neural Networks
Offers artificial neural networks for users
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Natural Language Understanding
Offers natural language understanding services
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Deep Learning
Provides deep learning capabilities
Deployment (3)
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Managed Service
Manages the intelligent application for the user, reducing the need of infrastructure
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Application
Allows users to insert machine learning into operating applications
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Scalability
Provides easily scaled machine learning applications and infrastructure
System (2)
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Data Ingestion & Wrangling
Gives user ability to import a variety of data sources for immediate use
Real-Time Data
Receive data and information in real time
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 (4)
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.
Data Capture and Transfer
Import, collect, and capture data from multiple sources
Setup (4)
Integration
Provides the ability to import data from a variety of sources and in multiple data formats.
Maintenance
Consistently maintains, updates, and tests data sources to ensure quality.
No-Code
Allows users to analyze data easily without the need to code.
Third-Party Integrations
Set up connections to third-party platforms to improve business processes
Data (4)
Security
Ensures privacy and security of customer data.
Data Visualization
Visualizes text data through charts and graphs.
Real-Time Data
Receive data and information in real time
Visual Analytics
Interact with data visualization elements, such as charts and graphs, to drill down into data
Analysis (15)
Automation
Automates back-end technical manual processes.
Named entity recognition
Identifies entities such as organization, person name, location, etc
Keyphrase Extraction
Extracts keyphrases to determine patterns and themes within text.
Topic Analysis
Automatically identifies and organizes text based on topic or subject matter.
Sentiment Analysis
Utilizes sentiment analysis to capture user feedback.
Language Identification
Identifies the language in which text was written in.
Syntax/Part of Speech Parsing
Provides the ability to identify syntax and parts of speech.
Multi-Language
Manage and support multiple languages
Trend Analysis
Review data from past periods to reveal recurring tendencies and predict future performance
Text Analysis
Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc
Qualitative Comparative Analysis
Statistical Analysis
Apply statistical/mathematical models to sets of data
User Research Analysis
Analyze and gain insights into user experience
Ad hoc Analysis
Quantitative Analysis
Customization (3)
Pre-Built Parameterization
Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions.
Custom Extension
Allow user to add custom functions to Analysis capabilities
Compositionality
User created models can be used as features/pre-built in other models
Generative AI (11)
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.
Generative AI
Use AI to generate content in the form of text, images, videos, etc.
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.
Generative AI
Use AI to generate content in the form of text, images, videos, etc.
Generative AI
Use AI to generate content in the form of text, images, videos, etc.
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.
Generative AI
Use AI to generate content in the form of text, images, videos, etc.
Scalability and Performance - Generative AI Infrastructure (3)
AI High Availability
Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions.
AI Model Training Scalability
Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models.
AI Inference Speed
Provides the user the ability to get quick and low-latency responses during the inference stage, which is critical for real-time applications.
Cost and Efficiency - Generative AI Infrastructure (3)
AI Cost per API Call
Offers the user a transparent pricing model for API calls, enabling better budget planning and cost control.
AI Resource Allocation Flexibility
Provides the user the ability to allocate computational resources based on demand, making it cost-effective.
AI Energy Efficiency
Allows the user to minimize energy usage during both training and inference, which is becoming increasingly important for sustainable operations.
Integration and Extensibility - Generative AI Infrastructure (3)
AI Multi-cloud Support
Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in.
AI Data Pipeline Integration
Provides the user the ability to seamlessly connect with various data sources and pipelines, simplifying data ingestion and pre-processing.
AI API Support and Flexibility
Allows the user to easily integrate the generative AI models into existing workflows and systems via APIs.
Security and Compliance - Generative AI Infrastructure (3)
AI GDPR and Regulatory Compliance
Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally.
AI Role-based Access Control
Allows the user to set up access controls based on roles within the organization, enhancing security.
AI Data Encryption
Ensures that data is encrypted during transit and at rest, providing an additional layer of security.
Usability and Support - Generative AI Infrastructure (2)
AI Documentation Quality
Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting.
AI Community Activity
Allows the user to gauge the level of community support and third-party extensions available, which can be useful for problem-solving and extending functionality.
Agentic AI - Analytics Platforms (8)
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
Third-Party Integrations
Set up connections to third-party platforms to improve business processes
Agentic AI - Data Science and Machine Learning Platforms (8)
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
Third-Party Integrations
Set up connections to third-party platforms to improve business processes
Deployment & Integration - Analytics Platforms (6)
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
Multiple Data Sources
Allows users to manage data from a number of sources
Query Builder
Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database
Performance & Scalability - Analytics Platforms (3)
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
Database Support
Supports common databases such as MySQL and Oracle
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 (5)
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
Ad hoc Query
One-off queries made on an as-needed basis
Visual Analytics
Interact with data visualization elements, such as charts and graphs, to drill down into data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms (3)
Automatic Data Profiling & Quality Assessment
Analyzes incoming datasets to surface missing values, distributions, outliers, and data quality issues automatically
Multi‑Source Connector Support
Enables users to ingest data from diverse sources (databases, APIs, cloud storage, spreadsheets) without custom coding
Schema Drift / Change Detection
Automatically alerts users when incoming data’s schema deviates from expected structure over time
Model Construction & Automation - Low-Code Machine Learning Platforms (3)
Guided Algorithm & Hyperparameter Recommendation
Suggests or auto‑selects candidate algorithms and hyperparameters based on dataset characteristics
Code Extensibility
Allows users to insert custom code (e.g. Python, R, SQL) or custom modules into pipeline stages for flexibility
Automated Feature Engineering
Automatically proposes or applies derived features to improve model performance
Additional Functionality (159)
Drag & Drop
Assemble applications and processes by dragging over and arranging pre-built components
Secure Data Storage
Securely stores data to prevent data loss or breaches
Data Import/Export
Import and export data to and from software applications
Customizable Branding
Add customized logos and colors to align with company branding
Dashboard Creation
Creation and customization of dashboards
Access Controls/Permissions
Define levels of authorization for access to specific files or systems
Real-Time Reporting
Active reporting of data and metrics
Metadata Management
Collect and maintain structured information that describes data or content
Forecasting
Form predictions based on past and present data/trends
Data Storage Management
Manage and store data in a database
Ad hoc Analysis
Ad hoc Reporting
Generate one-off reports that meet information requirements
Data Migration
Move from one database to another, or upgrade the version of database software being used
AI Copilot
A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Self Service Data Preparation
Access, combine, transform, and store data without the help of an IT department
Search/Filter
Search and filter data across systems to locate required information by entering keywords or certain criteria
Data Mapping
Track the management and flow of data throughout the organization
Monitoring
Observe and track the demand, usage, progress or quality of a system, product, or user
Sentiment Analysis
Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral
User Management
Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks
Sales Trend Analysis
Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.
Charting
Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.
Reporting & Statistics
Collection, analysis, and representation of numerical data and generation of reports to understand various patterns
Performance Metrics
A set of indicators that tracks the performance of networks, applications, systems, teams, etc.
Alerts/Notifications
Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges
Data Extraction
Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
Widgets
An extended application or connector that enables users to perform additional services with their current set of tools
Storytelling
Ability to present data insights in the form of a story to the audience
Trend Analysis
Review data from past periods to reveal recurring tendencies and predict future performance
Collaboration Tools
Provides a channel for team members to share media files, communicate, and work together
Financing Management
Financing arranged by the dealership
Self-service Analytics
Generate reports on your own without IT involvement
KPI Monitoring
Tracking the status of previously identified performance measurements
Dashboard
Assembly of graphs and charts for visualizing and tracking statistics/metrics
API
Application programming interface that allows for integration with other systems/databases
Data Integration
Combining data from different sources and providing a unified view
Scorecards
Visual representation of performance data, enabling users to monitor progress, identify trends, and make data-driven decisions
Data Management
Ability to handle large datasets
Task Management
Create, manage and track all task activities and progression
Progress Tracking
Reporting on how each user, task or process has advanced since its initiation
Data Connectors
Connect to big data sources
Data Visualization
Graphical representation of data
Profitability Analysis
Evaluate the degree to which business operations bring monetary gains
Project Tracking
Monitor the progress of projects from start to finish
Strategic Planning
At a high level, visualize a preferred outcome, define goals and identify specific steps to achieve them
Goal Setting/Tracking
Establish measurable goals and objectives and track their progress over a specific period of time
Publishing/Sharing
Share pre-configured sets of data organized and presented in a specific manner with the organization
Predictive Analytics
Predict future data based on historical data sets
Real-Time Monitoring
Active monitoring of systems, applications, or networks
Templates
Sample files or documents that could be customized as needed or used as is
Mobile Access
Access software remotely via mobile devices
Customizable Templates
Pre-designed layouts that can be customized to match preferences and requirements
Workflow Management
Create, design and manage workflows for repetitive tasks
Financial Reporting
Generate reports to assess the financial performance of an organization
Audit Management
Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws
OLAP
Online Analytical Processing technology for performing high-speed complex queries or multidimensional analysis on large volumes of data
Single Sign On
Allow users to access multiple services after entering their login credentials once
Data Synchronization
Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency
Customizable Reports
Alter the layout and content of reports
Collaboration Tools
Provides a channel for team members to share media files, communicate, and work together
Data Extraction
Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
Semantic Search
Data Storage Management
Manage and store data in a database
Ad hoc Reporting
Generate one-off reports that meet information requirements
Reporting/Analytics
View and track pertinent metrics to find patterns and gain insights from data
Predictive Analytics
Predict future data based on historical data sets
Activity Dashboard
Dashboard to view the status of ongoing processes, identify current incidents and track past activities
Access Controls/Permissions
Define levels of authorization for access to specific files or systems
Visual Analytics
Interact with data visualization elements, such as charts and graphs, to drill down into data
Data Mapping
Track the management and flow of data throughout the organization
Data Synchronization
Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency
Statistical Analysis
Apply statistical/mathematical models to sets of data
Categorization/Grouping
Organize and group data or items based on various criteria
Trend Analysis
Review data from past periods to reveal recurring tendencies and predict future performance
Data Profiling
Examines, analyzes, and organizes data to create relevant summaries or graphs.
Linked Data Management
Data Visualization
Graphical representation of data
API
Application programming interface that allows for integration with other systems/databases
Multiple Data Sources
Allows users to manage data from a number of sources
Sentiment Analysis
Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral
Search/Filter
Search and filter data across systems to locate required information by entering keywords or certain criteria
Data Import/Export
Import and export data to and from software applications
Data Capture and Transfer
Import, collect, and capture data from multiple sources
AI Copilot
A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Monitoring
Observe and track the demand, usage, progress or quality of a system, product, or user
Data Connectors
Connect to big data sources
Ad hoc Analysis
Text Mining
Transforming unstructured text into a structured format to identify meaningful patterns and new insights
Reporting & Statistics
Collection, analysis, and representation of numerical data and generation of reports to understand various patterns
Predictive Modeling
Analyzing historical and current data and generating a model to help predict future outcomes.
Real-Time Analytics
Analyze and gain insights into data in real-time
Configurable Workflow
Configure existing workflows to meet your organization's needs
Tagging
Attach digital tags to documents and assets for identification, search, or monitoring purposes
Endpoint Management
Track status, assign actions, and control access to systems for devices within the organization
No-Code
Drag and drop/visual interfaces that allow non-tech users to build without writing code
Data Preparation
Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.
Auditing
Examine established processes and records to ensure accuracy, compliance, and policy adherence
Big Data Analytics
Examine large amounts of data to uncover hidden patterns, correlations, and other insights
ML Algorithm Library
Share, track, and store machine learning models and data.
Data Management
Ability to handle large datasets
Activity Tracking
Track and document all activities across devices, networks, and other systems
Data Security
Protect sensitive data for digital privacy
Workflow Management
Create, design and manage workflows for repetitive tasks
Demand Forecasting
Forecast customer demand using historical insights and simulations
AI/Machine Learning
Software program that continuously adjusts its behavior based on observed data
Drag & Drop
Assemble applications and processes by dragging over and arranging pre-built components
For Healthcare
Software designed for the healthcare industry
Forecasting
Form predictions based on past and present data/trends
Data Extraction
Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
Third-Party Integrations
Set up connections to third-party platforms to improve business processes
Decision Support
Tools that provide relevant information at specific times to support judgments and courses of action
Modeling & Simulation
Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making
Alerts/Notifications
Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges
Reporting/Analytics
View and track pertinent metrics to find patterns and gain insights from data
Multiple Data Sources
Allows users to manage data from a number of sources
For Retail
For Retail Stores
For Education
Used for educational purposes
Data Discovery
Discover and connect variety of data sources to the application for analysis
Graphical Workflow Editor
Create, design and modify the flow and processes of tasks in a project
Performance Metrics
A set of indicators that tracks the performance of networks, applications, systems, teams, etc.
Business Rules Management
Define and maintain business rules that determine workflow capabilities and criteria
AI Copilot
A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Natural Language Processing
Process and analyze human language in text or audio form
Data Transformation
Translate EDI formats into data suitable for use with company applications.
Data Clustering
Clustering or grouping objects based on data similarities
API
Application programming interface that allows for integration with other systems/databases
Data Blending
Merge data from multiple sources to a single data set
Data Classification
Grouping log entries based on similar attributes.
Workflow Management
Create, design and manage workflows for repetitive tasks
Workflow Automation
Streamlining repetitive tasks and activities through automated and predefined workflows
Monitoring
Observe and track the demand, usage, progress or quality of a system, product, or user
Activity Tracking
Track and document all activities across devices, networks, and other systems
Data Collection
Process of gathering, measuring, and analyzing accurate data
Access Controls/Permissions
Define levels of authorization for access to specific files or systems
Predictive Analytics
Predict future data based on historical data sets
Computer Assisted Coding
Activity Dashboard
Dashboard to view the status of ongoing processes, identify current incidents and track past activities
Real-Time Analytics
Analyze and gain insights into data in real-time
AI Copilot
A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Reporting & Statistics
Collection, analysis, and representation of numerical data and generation of reports to understand various patterns
Data Import/Export
Import and export data to and from software applications
Mixed Methods Research
Combining elements of both quantitative and qualitative data to conduct research
Website Analytics
Track and analyze information regarding website visitors
Multimedia Support
Supports various file formats
Media Analytics
Categorization/Grouping
Organize and group data or items based on various criteria
Data Storage Management
Manage and store data in a database
Feedback Management
Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service
Tagging
Attach digital tags to documents and assets for identification, search, or monitoring purposes
Collaboration Tools
Provides a channel for team members to share media files, communicate, and work together
Single Sign On
Allow users to access multiple services after entering their login credentials once
Drag & Drop
Assemble applications and processes by dragging over and arranging pre-built components
Annotations
Highlight content and/or make notations about parts of content
Customizable Branding
Add customized logos and colors to align with company branding
Data Coding
Processing and organizing collected information to a set of meaningful and cohesive categories for further analysis
Multiple Data Sources
Allows users to manage data from a number of sources
API
Application programming interface that allows for integration with other systems/databases
Search/Filter
Search and filter data across systems to locate required information by entering keywords or certain criteria
Customizable Reports
Alter the layout and content of reports


