HubSpot Data Hub Features

Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others

Allows businesses to easily connect to any data source

Offers API connections for cloud-based applications and data sources

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

Indexes metadata descriptions for easier searching and enhanced insights

Tools to (re)structure data in a manner that enables quick and accurate insight extraction

Allows self-service joining of tables

Provides the ability to combine data sources into one data set

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

Offers collaborative functionality for sharing queries and data sets

Ensures user access management, data lineage, and data encryption

Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools

Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools

Operationalizes data workflows to easily scale repeatable preparation needs

View ETL process data via reports and visualizations like charts and graphs.

Record ETL historical data for auditing and potential data correction needs.

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.

Integrates with a variety of sources and/or migration targets.

Maintain user access and security features associated with pre-migrated data in the post-migration environment.

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Cleanse and re-format extracted data to the needed target format.

Load reformatted data into target database, data warehouse, or other storage location.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Capable of scaling processing power up or down based on ETL volume.

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

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.

Receive data and information in real time

Migrate data from on-premises or cloud solutions to a separate cloud environment or solution.

Be compatible with a variety of data types for migration.

Copy and store the same data in multiple locations.

Transform or encode data before being moved to the cloud.

Employs data encryption both at rest and in transit.

Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data.

Supports secure communication protocols like FTPS, SFTP etc

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Provides personalized responses to interlocator based on segmentation or past responses.

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.

Can have a natural, human-like conversation with an interlocator.

Manage and support multiple languages

Allows business to edit conversations to meet the unique needs of one's business.

Gives users the ability to update systems, like CRM, based on conversations.

Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

Editing tool that allows users to drag and drop images, icons, widgets, or other components

Agents pause for human input at key steps and hand off tasks when beyond their confidence or authority.

Supports event or transaction based integrations that react to changes in real-time

Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface.

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 prebuilt, reusable connectors and workflows for all user integration requirements.

Enables multiple tenants (customers) to securely share physical computing resources.

Connect to big data sources

Integrates with QuickBooks

Integrates with Active Directory

Integrating data specifically through the cloud

Integrate with existing ERP systems

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

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

Integrate with a third-party accounting system

Seamlessly integrates with 3rd party websites

Console for monitoring resource utilization, system health, ability to start and stop processes, etc.

Enables data routing on configuration basis and management of complex workflows through an orchestration engine.

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

Provides standard tools and functions to convert data values from the data format of a source system into the data format of a destination system.

Supports and oversees the management of API products across their full lifecycle

Ability to handle large datasets

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

Create, design and manage workflows for repetitive tasks

Track, manage and store the applications of potential future members, customers or candidates

Manage, record and track all business exchanges in form of money and its related interactions in the system

Collect and maintain structured information that describes data or content

Identify which applications need to exchange data and enable these data connections

Manage and store data in a database

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Manage employee salary processes, data, taxes, and records administration efficiently

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

Identify which applications need to exchange data and enable these data connections

Managing service requests, incidents, IT issues & support with a ticketing system

Automates core HR functions such as talent management, employee evaluation and learning management

Has a built-in eCommerce system or integrates with third-party systems to manage online sale of products

Managing activities & processes related to planning, coordination, implementation, control, and evaluation of sales performance.

Active monitoring of systems, applications, or networks

Notifications that are delivered to users as soon as an event occurs

Integrates data from disparate sources, without physical data movement

Provides one or more methods to securely transfer data from one location to another through a network

Receive data and information in real time

Import, collect, and capture data from multiple sources

Allows users to track how previous revenue forecasts have developed over time

Allows users to track pipeline to identify deals that are stalled, at risks and future opportunities

Reports results on revenue attainment, conversion rate, and overall revenue analytics

Allows users to view data visualizations on several devices

Enables user to segment customer or prospect revenue data in meaningful ways such as by industry or region.

Provides users with ability to predict upcoming forecast based on AI insights and deal health

Provides users with ability to analyze weekly, monthly, and quarterly operational cadences to ensure success

Automatically associates calendar invites to update deal progress in a CRM

Automatically associates sales activities within emails to the relevant accounts in your CRM

Automatically associates sales activities within conversation intelligence tools to the relevant accounts in your CRM

Automatically links marketing leads to sales generated opportunities in your CRM

Automatically captures contacts engaged with and associates to relevant accounts in a CRM

Identifies accounts that sales reps aren't engaging with

Maximizes account coverage by determining the optimal number of accounts per rep

Identifies common themes among historical deals that are won or lost

Identifies common themes and actions amongst reps that close the most deals

Allows users to track the level of engagement with each account and provides insights on frequency of engagement

Identifies common themes among historical deals that are won or lost to provide insights into successful strategies

Supports deployment of integration apps both on-premisis and cloud environments/

Supports deployment of integration apps to a managed cloud environment

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.

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 automate responses to customer inquiries across various channels.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate the process of generating and qualifying sales leads.

Allows users to automate the handling, processing, and management of documents.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Process and analyze human language in text or audio form

Generative AI can generate synthetic data and simulate scenarios for training and testing purposes.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

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

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

Seamlessly integrates with 3rd party websites

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Makes informed choices based on available data and objectives

Receive system updates as soon as any changes are made

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

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

Data vault where data is aggregated for later distribution to applications.

Import and export data to and from software applications

Process of extracting, transforming, and loading data

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

Graphical representation of data

Define levels of authorization for access to specific files or systems

Supports common databases such as MySQL and Oracle

System alerts about the need to escalate an issue or request

A chronological record of actions or occurrences within a network, software, or process

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

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

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

An extended application or connector that enables users to perform additional services with their current set of tools

Active reporting of data and metrics

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

Allows users to manage data from a number of sources

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

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

Automatically create schedules based on business needs or employee availability and qualifications

Configure existing workflows to meet your organization's needs

Assemble data from multiple sources

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

Access software remotely via mobile devices

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

Allows the integration of data between different web services

Analyze and gain insights into data in real-time

Send messages via SMS

Accept and process customer payments for products or services using hardware and software

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

Creation and customization of dashboards

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

Software program that continuously adjusts its behavior based on observed data

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

Built-in accounting to manage ledger, accounts payable/receivable, financial reports, etc.

Generate one-off reports that meet information requirements

Multiple agents work together, share tasks, and coordinate to achieve common goals.

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

Process of carefully designing and constructing prompts or input instructions to achieve desired behaviors or outputs from AI models

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

Build applications without the use of code

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

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

Model the varying behavior of a system over time through diagrams

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

Store and save retrievable data

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

Manage a growing amount of work to meet increased demand without compromising performance

Manage budgets, track and optimize spending and align capacity to workload demand

Plan availability and assign specific time slots for tasks and resources

Interact with agents using conversational language

Define levels of authorization for access to specific files or systems

Ability to interact with various large language models, such as GPT-4, Claude 3, Gemini, Llama 3, and more

Identify which applications need to exchange data and enable these data connections

Flexible architecture allowing tailored configurations

Pre-defined templates within a library for common cases such as contracts, websites, emails, and more

Tools for the systematic analysis of various types of data or statistics

Helps understand a user's intentions/actions

Interprets what a user is doing based on context and helps guide them through the process.

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

Bots that work alongside humans on tasks that cannot be fully automated

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

Used as a promotional or demonstration tool in sales and marketing presentations

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

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

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

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

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

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

Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.

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

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

Automatic reply functionality for incoming messages

Gather, organize, share, and analyze knowledge in terms of resources, documents, and people skills

Transfer queries and organize messages between agents

Adjust communications based on previous interactions or personal preferences

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

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

Program systems that assist users with their daily administrative responsibilities

AI-based platform which conducts a conversation via auditory or textual methods

Train your system to interpret and transcribe voice messages

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

Create, manage and track all task activities and progression

Initiate interactions with customers by proactively starting conversations or providing informational content

Software program that continuously adjusts its behavior based on observed data

Configure existing workflows to meet your organization's needs

Automate processes from start to finish without human assistance

Recording, transcription, and analysis of sales calls for the purpose of training and generating insights

Streamlining repetitive tasks and activities through automated and predefined workflows

Managing and resolving errors that occur during program execution to maintain stability

Analyze survey results via statistical testing or crosstabs directly within the software

Software program that continuously adjusts its behavior based on observed data

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

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

Track the management and flow of data throughout the organization

Process of extracting, transforming, and loading data

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

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

Indexes metadata descriptions for easier searching and enhanced insights

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

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

Create, design and manage workflows for repetitive tasks

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

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

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

Import and export data to and from software applications

Rules followed by the software/AI can be configured by users to suit their specific needs

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

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

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

Allows users to manage data from a number of sources

Online portal through which end users can access the system, manage tasks, or obtain information

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

Process of checking different types of data for accuracy to avoid errors or inconsistencies

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

Manage and support multiple languages

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

Compare new data with existing records to detect duplicate entries

Extract email addresses from multiple data sources

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

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

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

Track the management and flow of data throughout the organization

Verifies and confirms the accuracy of an address

Looking at data from different sources and finding possible duplicates, or identical matches

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

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

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

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

Import, collect, and capture data from multiple sources

Define levels of authorization for access to specific files or systems

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

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

Track the management and flow of data throughout the organization

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

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.

Identify which applications need to exchange data and enable these data connections

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

Define levels of authorization for access to specific files or systems

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

Looking at data from different sources and finding possible duplicates, or identical matches

Active monitoring of systems, applications, or networks

Collect and maintain structured information that describes data or content

Track the progress of long term goals, campaigns, and opportunities, for sales, projects, business ventures etc.

Planning and managing the execution of tasks or jobs within a computer system, network, or other automated environments

Creation and customization of dashboards

Manage and store data in a database

Allows users to manage data from a number of sources

Import and export data to and from software applications

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

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

Connect to big data sources

Alter the layout and content of reports

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

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

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

Integrate with a third-party accounting system

Receive data and information in real time

Has a built-in eCommerce system or integrates with third-party systems to manage online sale of products

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

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

Graphical representation of data

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

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

Analyze and gain insights into data in real-time

Import, collect, and capture data from multiple sources

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

Organize and manage the accomplishments and development of employees or performance of applications or systems

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

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

Process of copying and storing data in more than one site or node

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

Supports common databases such as MySQL and Oracle

Create, design and manage workflows for repetitive tasks

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

Predict future data based on historical data sets

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

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

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

Analyze survey results via statistical testing or crosstabs directly within the software