FICO Platform Features

Supports a variety of scripting environments

Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data

Analyzes both structured and unstructured data

Interacts with data to prepare it for visualizations and models

Series of data points indexed in time order

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

Offers modeling capabilities

Creates data visualizations or graphs

Generates reports of data performance

Unifies information on a singular platform

Alter the layout and content of reports

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Provides users with pre-built algorithms for simpler model development

Supplies large data sets for training individual models

Supports common databases such as MySQL and Oracle

Manage and support multiple languages

Transforms raw data into features that better represent the underlying problem to the predictive models

Offers image recognition services

Offers natural language processing services

Offers natural language generation services

Offers artificial neural networks for users

Offers natural language understanding services

Provides deep learning capabilities

Manages the intelligent application for the user, reducing the need of infrastructure

Allows users to insert machine learning into operating applications

Provides easily scaled machine learning applications and infrastructure

Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise.

Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise.

Allows one to create or host applications built on top of business rules.

Provides APIs or other development tools for integrating with other applications.

Collects, stores, and organizes massive, unstructured data in real time

Facilitates the disseminating of collected big data throughout parallel computing clusters

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Hadoop

Facilitates solution to run on and scale to a large number of machines and systems

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Aligns processing and distribution workflows on top of Apache Hadoop

Moves big data collection and processing to the cloud

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

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.

Software incorporates multiple digital communications channels.

Allows incorporation of inbound contacts from non-marketing channels.

Includes physical media (mail, flyers, billboards, etc.) in the channels mix.

Allows planning and deployment of an overall communications strategy.

Includes or integrates with content creation apps.

Outbound communications are segmented and personalized.

Inbound contacts are identified and handled based on history.

Software verifies compliance with GDPR, CAN-SPAM, and other legal requirements.

Send messages, notifications, or documents to an entire customer base at the same time

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Generate personalized communications upon request to meet customer needs

Allow the audience to interact or engage with the content

Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Allows users to manage model artifacts and tracks which models are deployed in production.

Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Stores business rules in a catalog, to ensure business users can access them in their latest version.

Gives users the ability to collaborate on decision management, such as the ability to work simultaneously or annotate models.

Gives user ability to import a variety of data sources for immediate use

Receive data and information in real time

Control model usage and performance in production

Deploy mission-critical ML applications where and when you need them

Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.

Provides the ability to integrate data and transform data in order to facilitate decision-making.

Allows the user to connect to variety of applications across the business.

Allows users to write and edit business rules using business language, decision tables, etc.

Confirms whether your rules are executing as expected through testing them.

Provides the ability to create or integrate with predictive models.

Analyzes and compares the impact of automated decisions.`

Provides tools for simulating rules on real or fictitious operational data, and use the results to assess and refine the behavior of the rules.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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.

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.

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.

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.

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Supports integration with multiple data sources for seamless data input.

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

Enhances output accuracy and speed through efficient ingestion and processing of training data.

Generates actionable insights by applying learned patterns to key issues.

Continuously improves and adapts to new data using specified algorithms.

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

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

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

Alter the layout and content of reports

Provides a channel for team members to share media files, communicate, and work together

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

Manage and store data in a database

Generate one-off reports that meet information requirements

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

Predict future data based on historical data sets

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

Define levels of authorization for access to specific files or systems

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

Track the management and flow of data throughout the organization

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Apply statistical/mathematical models to sets of data

Organize and group data or items based on various criteria

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

Examines, analyzes, and organizes data to create relevant summaries or graphs.

Graphical representation of data

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

Allows users to manage data from a number of sources

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

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

Import and export data to and from software applications

Import, collect, and capture data from multiple sources

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

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

Connect to big data sources

Transforming unstructured text into a structured format to identify meaningful patterns and new insights

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

Analyzing historical and current data and generating a model to help predict future outcomes.

Analyze and gain insights into data in real-time

Configure existing workflows to meet your organization's needs

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Track status, assign actions, and control access to systems for devices within the organization

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.

Examine established processes and records to ensure accuracy, compliance, and policy adherence

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Share, track, and store machine learning models and data.

Ability to handle large datasets

Track and document all activities across devices, networks, and other systems

Protect sensitive data for digital privacy

Create, design and manage workflows for repetitive tasks

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

Communicate using direct chat or messages within the system

A collection of customer information such as contact details, demographics, previous interactions, etc.

Add customized logos and colors to align with company branding

Record the audio of phone conversations for quality assurance purposes

Create and automatically send premade copy in response to customer messages

Read and accept a combination of touch tone keypad selections and voice inputs and provide the appropriate prerecorded voice response

Manage, store and organize emails within the system or via third-party apps

Create, save, and re-purpose templates for emails, forms, etc.

Send messages via SMS

Gauge satisfaction and receive information for improvement and success

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

Manage a repository of information that includes articles, FAQs, or tutorials used for self-service support

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

Manage and support multiple languages

Track interaction history by documenting conversations for contacts

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

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

Create, design and manage workflows for repetitive tasks

Access previous interactions or concerns to maintain customer relationships

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

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

Supports various video file formats

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Organize, prioritize, and manage incoming communications

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

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Collecting, analyzing, and utilizing feedback from users or customers to improve a product or service

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

Provides a channel for team members to share media files, communicate, and work together

Track and document all activities across devices, networks, and other systems

Analyzing historical and current data and generating a model to help predict future outcomes.

Configure existing workflows to meet your organization's needs

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Import and export data to and from software applications

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

Predict future data based on historical data sets

Graphical representation of data

Track status, assign actions, and control access to systems for devices within the organization

Allows users to manage data from a number of sources

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.

Examine established processes and records to ensure accuracy, compliance, and policy adherence

Provides a channel for team members to share media files, communicate, and work together

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Share, track, and store machine learning models and data.

Ability to handle large datasets

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

Import, collect, and capture data from multiple sources

Track and document all activities across devices, networks, and other systems

Connect to big data sources

Protect sensitive data for digital privacy

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

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

Create, design and manage workflows for repetitive tasks

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

Forecast customer demand using historical insights and simulations

Software program that continuously adjusts its behavior based on observed data

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

Software designed for the healthcare industry

Form predictions based on past and present data/trends

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

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

Tools that provide relevant information at specific times to support judgments and courses of action

Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

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

Allows users to manage data from a number of sources

For Retail Stores

Used for educational purposes

Discover and connect variety of data sources to the application for analysis

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

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

Define and maintain business rules that determine workflow capabilities and criteria

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

Process and analyze human language in text or audio form

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

Clustering or grouping objects based on data similarities

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

Merge data from multiple sources to a single data set

Grouping log entries based on similar attributes.

Create, design and manage workflows for repetitive tasks

Streamlining repetitive tasks and activities through automated and predefined workflows