Twilio Segment Features

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

Analyzes data to find and recommend the highest value customer segmentations.

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

Facilitates the disseminating of collected big data throughout parallel computing clusters

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

Uses external data sources to improve customer profiles.

Can be updated to accept new sources and types of data.

Can engage with customers across any device with a consistent message.

Provides analysis of marketing program ROI and efficiency.

Predicts outcomes based on statistical models; can give insight to "what-if" scenarios.

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.

Offers a dashboard to capture, store, and manage granular user consents

Provide reporting functions showing granular data to demonstrate compliance to regulators

Integrates with marketing software and other analytical tools

Allows end-users to manage their preferences online

Shows audit trails of how user consent preferences have changed

Offers APIs to link to your data

Offers a mobile SDK to use consent management tools on mobile apps

Offers customizeable designs to match corporate branding

Offers server-side storage of consent, not client-side, for compliance reporting purposes

Ensures live debugging to alert if any failure during data sync.

Supports the creation of automated workflows and data pipelines.

Supports notifications in messaging applications such as Slack, and even in workflows.

Provides several pre-built connectors and API integrations to build data workflows.

Programmatic trigger of syncs via public APIs

Native support for incremental syncing

Move sync logs back into warehouse for auditing

Facilitiates API development and integrations with prebuilt connectors, templates, and examples.

Provides the ability to create connectors from existing services and APIs in catalog.

Provides dashboards to gain real-time insights into API performance, usage, and errors.

Facilitates to and fro data map according to the data model between applications/web services.

Provides integrations to ERP Systems.

Provides integrations to accounting Systems.

Provides integrations to customer relationship management and marketing automation systems.

Provides integrations to EDI service providers.

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.

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.

Supports industry standards (GDPR, CCPA etc) before, during, and after the reverse ETL process.

Ensures data encryption across multiple levels of the reverse ETL process.

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.

Supports the creation of SQL models to query any data warehouse.

Detailed logging for auditing needs.

Real-time visibility into the reverse ETL process.

Configures data mapping from data warehouse to target tools.

View the reverse ETL data via reports and charts through data viz and sync progress.

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.

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