ServiceNow Workflow Data Fabric Features

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.

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.

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

Makes informed choices based on available data and objectives

Allows users to comment on data sets to help future users better interact and interpret the data

Permits profiling of data sets for increased organization, both by users and machine learning

Creates a business glossary for faster understanding by the average business user

Indexes metadata descriptions for easier searching and enhanced insights

Verify, organize, manage & store enterprise data assets in a centralized repository

Manage and store data in a database

Ability to handle large datasets

Provides a visual editor to easily create automation models.

Offers the ability to record processes performed by humans to be recreated by bots.

Provides templates for workflows and processes for easier automation creation.

Allows developers to code custom automations.

Offers users the ability to reuse process automations and communicate with other team members around automation building.

Allows non-technical users to create bots in an easy, intuitive manner.

Automated or logic-based workflows that assist in the creation of electronic documents

Helps automate and manage information, tasks, and procedures by establishing routines and patterns associated with processes

Configure existing workflows to meet your organization's needs

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

Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.

Collect and displays metrics across the data integration via a dashboard.

Supports advanced analytics solutions for better business decision making

Equips administrators with the ability to schedule bot deployments in advance or on a consistent, regulated cadence.

Automates processes that supplement human action, often requiring human intervention and collaboration.

Automates processes completely without the need for human intervention.

Allows users to analyze the performance of bots via dashboards.

Insures data remains secure and compliant with industry standards.

Able to support large deployments.

Predict future data based on historical data sets

Analyze and gain insights into data in real-time

Receive data and information in real time

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

A record of all activities within the system, including user access, changes made, etc.

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

Receive system updates as soon as any changes are made

Active monitoring of systems, applications, or networks

Allows users to manage data from a number of sources

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

Extract email addresses from multiple data sources

Store, manage and track all forms in a centralized location

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

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

Create, design and manage workflows for repetitive tasks

Define levels of authorization for access to specific files or systems

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

Ability to recognize printed or written text within digital images or scanned documents

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Import and export data to and from software applications

Outline and document business processes via step-by-step building blocks

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

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

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

Import, collect, and capture data from multiple sources

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

Manage the process of evaluating documents or requests submitted for approval

Securely stores data to prevent data loss or breaches

Monitor and manage manufacturing and production processes.

Assemble applications and bots from pre-made building blocks without having to write software code or knowing a programming language

Ability of software to identify an image among other data

Manage and store data in a database

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

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

Create, manage and track all task activities and progression

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

Alter the layout and content of reports

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

Embed/link applications into third party software so it can be accessed within a third party system

Indexes metadata descriptions for enhanced insights.

Provides insights into original data sources and transformations made to data sets from source to consumption of data.

Provides an interface to collect and evaluate data to identfy patterns and outliers.

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Collect, process and structure data from multiple sources for further analysis

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

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

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

Move from one database to another, or upgrade the version of database software being used

Configure existing workflows to meet your organization's needs

Create, design and manage workflows for repetitive tasks

Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes

Group policies by type for easy classification and discovery

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

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

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

Protect sensitive data for digital privacy

Retrieval of embedded metadata that is present within a file

Combining data from different sources and providing a unified view

Assembly of graphs and charts for visualizing and tracking statistics/metrics

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

An organized inventory of all data assets

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

Connect to big data sources

Graphical representation of data

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

A collection of terms that define data key characteristics

Establish guidelines about how much and what kind of data can be stored in the repository

Ability to handle large datasets

Selects, manipulates and analyzes subsets of data points to identify patterns/trends

Conceptual model of how data items relate to each other

Track the management and flow of data throughout the organization

Stores definitions of the data elements and their relationships (metadata) and how they are retrieved for the user

Securely stores data to prevent data loss or breaches

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

Type of non-relational database that helps store, query, record and manage data in JSON formats

Regulate who can view information within the system

Retrieval of embedded metadata that is present within a file

Data is backed up automatically to prevent data loss

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

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

Verify the identity of users/devices to enable secure access

Protect sensitive data for digital privacy

Track the management and flow of data throughout the organization

Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes

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

An organized inventory of all data assets

Allows users to manage data from a number of sources

Organize and group data or items based on various criteria

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

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

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

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

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

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Allow users to access multiple services after entering their login credentials once

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Centralized repository to store content and assets

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

Import and export data to and from software applications

Define levels of authorization for access to specific files or systems

Graphical representation of data

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

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.

Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.

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

Makes informed choices based on available data and objectives

Automates recommendations for users based on machine learning functionality

Offers natural language querying functionality for non-technical users

Cleans data to improve quality via automation

Rules and regulations inherited from source systems or defined to secure sensitive data

Grant or restrict data access and control

Built - In Backup and Disaster Recovery

Indexes metadata descriptions for enhanced insights.

Ensures automation of metadata across the organization. Dynamically improves data management processes.

Embedded collaboration using APIs and in-app integrations.

Provides insights into original data sources and transformations made to data sets from source to consumption of data.

Provides an interface to collect and evaluate data to identfy patterns and outliers.

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

Manage and support multiple languages

Integrates data and data-related technologies into a single environment.

Provides metadata management capabilities.

Empowers the user via a self-service capability to manage data workflows.

Completely automates end-to-end data workflows across the data integration lifecycle.

Consolidate data from various disparate sources in a single unified view

Understand the state of data, applications, systems and services

Manage data across environments (on-premises cloud, hybrid, and multi-cloud)

Provides metadata management and lineage capabilities

Allows administrators to assign role-based user access for specific data sets

Hides and masks sensitive data automatically based on user permissions

Provides historical insights into original data sources and transformations made to data sets

Create, design and manage workflows for repetitive tasks

Provides OCR capabilities in order to recognize text in documents and applications.

Allows for intelligent automation whereby the bot can imitate human behavior by learning from behavioral patterns.

Provides NLP capabilities in order to understand text in documents and applications.

Supports analytical platforms and data pipelines across complex hybrid environments.

Supports migration of component or pipeline to different cloud environments.

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

Makes informed choices based on available data and objectives

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

Constantly processes metadata to provide intelligent insights.

Provides actionable insights, and generates notifications and alerts to help teams make informed decisions.

Supports 360 degree data visibility via a single dashboard.

Offers simple search capabilities to discover specific data sets

Allows users and administrators to easily clean data to maintain quality and integrity

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

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately