ServiceNow Workflow Data Fabric Features

Data Governance (3)

Data Preparation (4)

Search: Offers simple search capabilities to discover specific data sets
Data Quality and Cleansing: Allows users and administrators to easily clean data to maintain quality and integrity
Data Transformation: Converts data formats of source data into the format required for the reporting system without mistakes
Data Modeling: Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Collaboration (4)

Commenting: Allows users to comment on data sets to help future users better interact and interpret the data
Profiling and Classification: Permits profiling of data sets for increased organization, both by users and machine learning
Business and Data Glossary: Creates a business glossary for faster understanding by the average business user
Metadata Management: Indexes metadata descriptions for easier searching and enhanced insights

Artificial Intelligence (3)

Automation Building (6)

Visual Editor: Based on 10 ServiceNow Workflow Data Fabric reviews. Provides a visual editor to easily create automation models.
Workflow Recording: Based on 10 ServiceNow Workflow Data Fabric reviews. Offers the ability to record processes performed by humans to be recreated by bots.
Pre-Built Templates: Provides templates for workflows and processes for easier automation creation. 10 reviewers of ServiceNow Workflow Data Fabric have provided feedback on this feature.
Custom Automation: As reported in 10 ServiceNow Workflow Data Fabric reviews. Allows developers to code custom automations.
Collaboration: Based on 10 ServiceNow Workflow Data Fabric reviews. Offers users the ability to reuse process automations and communicate with other team members around automation building.
Ease of Bot Creation: As reported in 10 ServiceNow Workflow Data Fabric reviews. Allows non-technical users to create bots in an easy, intuitive manner.

Bot Management & Execution (6)

Bot Scheduling: Equips administrators with the ability to schedule bot deployments in advance or on a consistent, regulated cadence. 10 reviewers of ServiceNow Workflow Data Fabric have provided feedback on this feature.
Attended Automation: Based on 10 ServiceNow Workflow Data Fabric reviews. Automates processes that supplement human action, often requiring human intervention and collaboration.
Unattended Automation: Automates processes completely without the need for human intervention. This feature was mentioned in 10 ServiceNow Workflow Data Fabric reviews.
Bot Performance Analytics: Allows users to analyze the performance of bots via dashboards. This feature was mentioned in 10 ServiceNow Workflow Data Fabric reviews.
Data and Product Security: Insures data remains secure and compliant with industry standards. 10 reviewers of ServiceNow Workflow Data Fabric have provided feedback on this feature.
Scalability: Able to support large deployments. This feature was mentioned in 10 ServiceNow Workflow Data Fabric reviews.

Intelligent Automation (3)

OCR: Based on 10 ServiceNow Workflow Data Fabric reviews. Provides OCR capabilities in order to recognize text in documents and applications.
Machine Learning: Based on 10 ServiceNow Workflow Data Fabric reviews. Allows for intelligent automation whereby the bot can imitate human behavior by learning from behavioral patterns.
NLP: As reported in 10 ServiceNow Workflow Data Fabric reviews. Provides NLP capabilities in order to understand text in documents and applications.

Data Management (8)

Data Integration: Consolidate data from various disparate sources in a single unified view This feature was mentioned in 11 ServiceNow Workflow Data Fabric reviews.
Data Discovery: Understand the state of data, applications, systems and services 11 reviewers of ServiceNow Workflow Data Fabric have provided feedback on this feature.
Multi - Platform: Manage data across environments (on-premises cloud, hybrid, and multi-cloud) 11 reviewers of ServiceNow Workflow Data Fabric have provided feedback on this feature.
Metadata: As reported in 11 ServiceNow Workflow Data Fabric reviews. Provides metadata management and lineage capabilities
Data Integration: As reported in 23 ServiceNow Workflow Data Fabric reviews. Integrates data and data-related technologies into a single environment.
Metadata: Provides metadata management capabilities. This feature was mentioned in 23 ServiceNow Workflow Data Fabric reviews.
Self-service: Empowers the user via a self-service capability to manage data workflows. This feature was mentioned in 24 ServiceNow Workflow Data Fabric reviews.
Automated workflows: As reported in 24 ServiceNow Workflow Data Fabric reviews. Completely automates end-to-end data workflows across the data integration lifecycle.

Analytics (3)

Data Analytics: Supports advanced analytics solutions for better business decision making This feature was mentioned in 11 ServiceNow Workflow Data Fabric reviews.
Analytics capabilities: As reported in 24 ServiceNow Workflow Data Fabric reviews. Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.
Dasboard visualizations: As reported in 24 ServiceNow Workflow Data Fabric reviews. Collect and displays metrics across the data integration via a dashboard.

Security (3)

Compliance: Based on 11 ServiceNow Workflow Data Fabric reviews. Rules and regulations inherited from source systems or defined to secure sensitive data
Governance: As reported in 11 ServiceNow Workflow Data Fabric reviews. Grant or restrict data access and control
Data Protection: Built - In Backup and Disaster Recovery 10 reviewers of ServiceNow Workflow Data Fabric have provided feedback on this feature.

Monitoring and Management (2)

Cloud Deployment (2)

Data management (5)

Metadata Management: Indexes metadata descriptions for enhanced insights.
Automation Features: Ensures automation of metadata across the organization. Dynamically improves data management processes.
Collaboration: Embedded collaboration using APIs and in-app integrations.
Data Lineage: Provides insights into original data sources and transformations made to data sets from source to consumption of data.
Data Discovery: Provides an interface to collect and evaluate data to identfy patterns and outliers.

Reporting (3)

Generative AI (8)

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: Based on 11 ServiceNow Workflow Data Fabric reviews. Allows users to generate text based on a text prompt.
AI Text Summarization: As reported in 11 ServiceNow Workflow Data Fabric reviews. Condenses long documents or text into a brief summary.
AI Text Generation: Allows users to generate text based on a text prompt. This feature was mentioned in 24 ServiceNow Workflow Data Fabric reviews.
AI Text Summarization: Based on 23 ServiceNow Workflow Data Fabric reviews. Condenses long documents or text into a brief summary.

Agentic AI - Machine Learning Data Catalog (5)

Agentic AI - Data Fabric (5)

Agentic AI - DataOps Platforms (5)

Autonomous Task Execution: Capability to perform complex tasks without constant human input This feature was mentioned in 24 ServiceNow Workflow Data Fabric reviews.
Multi-step Planning: Ability to break down and plan multi-step processes 24 reviewers of ServiceNow Workflow Data Fabric have provided feedback on this feature.
Cross-system Integration: Works across multiple software systems or databases This feature was mentioned in 24 ServiceNow Workflow Data Fabric reviews.
Adaptive Learning: Based on 24 ServiceNow Workflow Data Fabric reviews. Improves performance based on feedback and experience
Decision Making: As reported in 24 ServiceNow Workflow Data Fabric reviews. Makes informed choices based on available data and objectives

Agentic AI - Robotic Process Automation (RPA) (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