Intellicus Features

Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Score cards visually track key performance indicators (KPIs)

Reports can be customized based on the intended audience, available data, length, and depth

The outputs of reports are customizable in using graphs and charts

Real-time up to date outputs can be created to provide information to decision makers and leadership

Using formulas based on existing data elements, users can create and calculate new field values.

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights.

Ability to search global data set to find and discover data.

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Tool automatically suggests data types, schemas and hierarchies.

Analyze current and historical trends to make predictions about future events.

Communicate complex information clearly and effectively through advanced graphical techniques.

Ability to handle large, complex, and/or siloed data sets.

Converts data formats of source data into the format required for the reporting system without mistakes.

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

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.

Consolidate manufacturing information from multiple sources

Structure data using hierarchies to make it easier to use and manage

Ability to trasnfer data between shop floor systems and software products

Provide features for manual and automated data collection

Process manufacturing information to remove errors and duplicated data

Gather multiple types of data from various sources

Consolidates data from multiple sources

Detect innacurate, incomplete, or duplicate commerce data

Ensure that the data complies with internal quality standards

Allow users to update the data to nesure its accuracy and validity

Consolidates data from multiple sources

Gather multiple types of data from various sources

Allow users to update the data to ensure its accuracy and validity

Detect innacurate, incomplete, or duplicate data

Ensure that the data complies with internal quality standards

Include standard KPIs to monitor manufacturing quality

Deliver real time data on manufacturing operations and processes

Customizable dashboards display KPIs and metrics in real time

Generate forecasts using historical data and market trends

Include standard key performance indicators (KPIs) for retail and e-commerce

Provide customizable dashboards to display KPIs and forecasts

Integrate with bsiness intelligence and analytics software

Monitor store key performance indicators (KPIs) in real-time

Generate forecasts using historical data and market trends

Creates reports and dashboards to analyze retail KPIs and metrics

Uses artificial intelligence (AI) to build forecasting models based on existing data sets

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Using formulas based on existing data elements, users can create and calculate new field values

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Allows the user to combine data from multiple sources into a functioning dataset.

Offer mobile dashboards to view retail KPI in real-time

Support or include dedicated app for iOS and/or Android

Allows integration with marketplace such as Amazon, eBay, Walmart, etc

Easily integrate with POS software to monitor sales and customer data

Allows integration with marketplace such as Amazon, eBay, Walmart, etc

Provides a cloud based version of the platform

Provides an on-premise version of the platform

Raw data is able to be filtered into outputs with only the data useful for the analysis

Data structured as ratio, interval, ordinal, or nominal can be interpreted with the appropriate outputs

Change the data format into csv., html, xml, etc.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Provides the ability to generate images from a text prompt.

Allows users to generate text based on a text prompt.

Converts images into a textual description, identifying key elements.

Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Enables automated report generation and scheduled delivery to stakeholders

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time

Recommends next questions, analyses, or exploration paths using autonomous AI agents

Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying