Collibra Features

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

Offers simple search capabilities to discover specific data sets

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

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

Automates recommendations for users based on machine learning functionality

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

Tools to create and adjust workflows to ensure consistency.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Provides guidelines or training related to sensitive data compliance requirements,

Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

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

Compile data from across all systems so that users can view relevant information easily.

Correctly identify inaccurate, incomplete, or duplicated data from a data source.

Utilize deletion, modification, appending, merging, or other methods to correct bad data.

Standardize data formatting for uniformity and easier data usage.

Clean data as it enters the data source to prevent mixing bad data with cleaned data.

Finds duplicates using the fuzzy logic technology or an advance search feature.

Data Subject Access Request (DSAR) functionality helps companies comply with user access and deletion requests.

Identity verification functionality validates a person's identity prior to a company complying with a data subject access request.

Privacy Impact Assessment (PIA) features help companies evalute, assess, track and report on the privacy implications of their data.

Data mapping functionality, which helps companies understand how data flows throughout their organization, is achieved through manual surveys sent to company employees.

Data mapping functionality, which helps companies understand how data flows throughout their organization, is achieved through automated machine learning.

Data discovery features collect and aggregate data from a variety of sources and prepares it in formats that both people and software can easily use it to then run analytics.

Data classification features tag the discovered data to make it easy to search, find, retrieve, and track.

De-identification or pseudonymization features replace personally identifiable information with artificial identifiers, or pseudonyms to comply with privacy regulations.

Data Breach Notification features help companies automate their breach response to stakeholders.

Consent management features help companies obtain and manage user consent when collecting, sharing, buying, or selling a user's data.

Website tracking scanning features help companies understand what cookies, beacons, and other trackers are on their websites.

Data Access Governance functionality helps limit the number of people who have access to data unless they are permissioned to do so.

Identity verification functionality validates a person's identity prior to a company complying with a data subject access request.

Offers workflows to process Data Subject Access Requests to enable multiple departments to assist when complying with user access and deletion requests.

Offers a user-facing portal for data subjects to request access to their data.

Has reporting and log functionality to prove that companies are in compliance with mandated response time, per privacy laws such as GDPR, CCPA, and others.

Has a centralized view of PIA software functions, such as tracking, templates, and reporting

Offers tracking functionality to manage privacy impact assessments during its lifecycle

Offers assessment templates which can be customized to meet business needs

Offers workflows to enable multiple departments to collaborate on privacy impact assessments.

Has reporting and analytics functionality to highlight risks and compare analyses.

Searches structured, semi-structured, and unstructured data for sensitive data.

Offers contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata.

Has template rules and pattern matching algorithms (PII, PCI, PHI and more)

Offers the option to create custom templates and rules based on department, user type and data type.

Offers false-positive management functions

Search multiple file types (images, PDFs, etc.) and repository locations (such as on-premise databases, cloud storage, email servers, websites, etc.)

Monitors data stores in real-time searching for newly created sensitive data.

Offers a dashboard showing specific location of sensitive data.

Facilitates compliance and enables adherence to common industry regulatory standards such as GDPR, CCPA, HIPAA, PCI DSS, ISO, and others.

Offers reporting functionality.

Provide follow-up information after data cleanings through a visual dashboard or reports.

Automatically run data identification, correction, and normalization on data sources.

Schedule automated audits to identify data anomalies over time based on set business rules.

Gives a view of the entire data quality management ecosystem.

Allows user role-based access and actions to authorization for specific tasks.

Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

Monitors and cleanses data with the help of business rules and analytical algorithms.

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console.

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

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

Supports advanced analytics solutions for better business decision making

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

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Helps identify and manage the roles of owners and stewards of data.

Helps adhere to data privacy regulations and norms.

Defines, validates, and monitors business rules to safeguard master data readiness.

Allows users to create and review data policies to make them consistent across the organization.

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.

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.

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.

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

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

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

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

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