Nexla Features

Provides an environment for users to rest their API's functionality, efficiency, and data accuracy.

Protect APIs from threats using authentication, access control and encryption

Allows administrators to create APIs that utilize multiple backend resources and databases.

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Limits access to suspicious visitors and monitors for traffic spikes to prevent overloads like DDoS attacks.

Records details related to usage and functionality for analytics and reporting.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Allows administrators to manage pricing and billing of API integration with customer applications.

Manage and direct API requests between clients and backend services

Monitoring and measurement of relevant metrics to assess the performance of IT resources

Active monitoring of systems, applications, or networks

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

The functionality at which APIs integrate with and perform within third-party applications.

Translates complex datasets and backend systems into formats that can be interpreted by applications.

Provides additional functionality for increased security, analytics, monitoring, and other features not included in the native feature set.

Receive data and information in real time

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

The ability to process large amounts of data.

The ability to process data from a wide variety of sources and formats.

The ability to work seamlessly with another software platform.

Processing data from a variety of sources in real time as it arrives.

Tools to visualize and analyze data.

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.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Organize extracted data into a more easily digestible structure.

Amass extracted data in a variety of data formats like spreadsheets and .csv.

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more.

Stores data in cloud storage for access at any point.

Generate visual data representations from extracted data.

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

Receive data and information in real time

Extract images and image data from multiple data sources

Extract IP addresses from multiple data sources

Extract email addresses from multiple data sources

Retrieval of embedded metadata that is present within a file

Extract documents and document data from data sources

Extract pricing data from multiple data sources.

Automatically capture data from documents, records, or other online sources

Extract IP addresses from multiple data sources

Extract email addresses from multiple data sources

Extract images and image data from multiple data sources

Extract data from any online source.

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

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.

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

Create, manage, and track policies and procedures within an organization

Pinpoint and mitigate risk from third-party vendors and suppliers.

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

Searchable repository of information about clients

Ensure internal objectives and compliance with policies are met

Detect (and block) vulnerabilities and threats in your applications based on vulnerability information

Process of identifying, evaluating, mitigating, addressing and reporting on potential risks or uncertainties

Collect and maintain structured information that describes data or content

Manage and store data in a database

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

Identify sensitive or personal information collected from users

Initiate collection and analysis of known risks

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

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.

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

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

Active monitoring of systems, applications, or networks

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.

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.

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.

Graphical representation of data

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.

Define levels of authorization for access to specific files or systems

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

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

Collect and maintain structured information that describes data or content

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.

Manage and store data in a database

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.

Ability to handle large datasets

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.

Supports analytical platforms and data pipelines across complex hybrid environments.

Supports migration of component or pipeline to different cloud environments.

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.

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.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

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.

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

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 generate text based on a text prompt.

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.

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

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

Integrates with Active Directory

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

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

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

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

Define levels of authorization for access to specific files or systems

Data is backed up automatically to prevent data loss

Verify the identity of users/devices to enable secure access

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

Compliant with HIPAA, which sets standards for sensitive patient data protection

Track the management and flow of data throughout the organization

Receive alerts and reports of security problems including password breaches

Modification of sensitive data to make it invaluable for unauthorized intruders

Gives visibility to the origin, history, transformation and location of data

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

Ability to restore deleted, hidden, or lost data from an email server/system

Addition of necessary external data, applications, tools, or features

Allows users to secure content and data for any use.

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

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

Protect sensitive data for digital privacy

Securely stores data to prevent data loss or breaches

Request from data subject to data controller to access, change or delete personal/sensitive information

Data impact assessments to identify and mitigate potential data risks

Convert data into a code for security

Ensure compliance with the General Data Protection Regulation protocols

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

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

Central hub for developers to access documentation, tools and resources

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

Enforce consistent standards and policies across the entire API lifecycle

Creation of a plan for an API to expose data and functionality to its users

Manage an API from its creation to deployment through updates, monitoring, and maintenance

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

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

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

Track and interpret metrics on the usage of company resources

Track the management and flow of data throughout the organization

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

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

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

Import and export data to and from software applications

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

Allows users to manage data from a number of sources

Connect to big data sources

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

Test specific APIs to determine if systems are properly functioning

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

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

Active reporting of data and metrics

Supports common databases such as MySQL and Oracle

Create, design and manage workflows for repetitive tasks

Define levels of authorization for access to specific files or systems

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

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

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

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

Import, collect, and capture data from multiple sources

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

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

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

Alter the layout and content of reports

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

Verify the identity of users/devices to enable secure access

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

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

Securely stores data to prevent data loss or breaches

Protect sensitive data for digital privacy

Compliant with HIPAA, which sets standards for sensitive patient data protection

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

Initiate collection and analysis of known risks

Track the management and flow of data throughout the organization

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

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

Allows users to manage data from a number of sources

Store and organize documents in a centralized system

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

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

Data is backed up automatically to prevent data loss

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

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

Manage and store data in a database

Pre-designed layouts that can be customized to match preferences and requirements

Allows users to manage data from a number of sources

Form predictions based on past and present data/trends

Timed notification for any upcoming task, deadline, appointment, or activity

Manage and support multiple languages

Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.

Access software remotely via mobile devices

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

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

Customize contracts and forms to collect specific information

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

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

Create, design and manage workflows for repetitive tasks

Track the management and flow of data throughout the organization

Review data from past periods to reveal recurring tendencies and predict future performance

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

Connect to big data sources

Multiple channels (email, web link, or social media) to distribute products, services, or surveys to customers

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

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

Import and export data to and from software applications

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

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

Gauge satisfaction and receive information for improvement and success

Customize data fields to support various needs and use cases

Store, manage and track all forms in a centralized location

Collect information from multiple sources

Compliant with HIPAA, which sets standards for sensitive patient data protection

Collect and maintain structured information that describes data or content

Securely stores data to prevent data loss or breaches

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

Define levels of authorization for access to specific files or systems

Support multiple types of devices

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

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

Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention

Practice of collecting data and responses for market research/surveys without an internet connection

Import, collect, and capture data from multiple sources

Alter the layout and content of reports

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

Creation and customization of dashboards

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

Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database

Automatically changes IP addresses to avoid website IP restrictions.

Software program that continuously adjusts its behavior based on observed data

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

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

Software's ability to perform similar action on multiple similar files simultaneously

Assemble data from multiple sources

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

AI method of discovering or extracting data patterns from larger volumes of data

Rotating through a series of proxy servers to conceal IP addresses during internet activities

Geographic location of visitors determines behavior of the software

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

Converting JavaScript code into visual elements on web pages for user interaction

Extract structured data from HTML documents for analysis or manipulation

Supports multiple file formats, such as Doc, Docx, PDF, HTML, etc.

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

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

Process and analyze human language in text or audio form

Automatically identify and input CAPTCHA characters to bypass security measures

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

Crawling and indexing web pages

Plan availability and assign specific time slots for tasks and resources

Reduce or block bot traffic

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

Create labels for products that contain required information such as colors, sizes, dates, etc.

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

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

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

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

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

Accountability over info/data that ensures appropriate behavior in the valuation, creation, storage, use, archiving & deletion of info.

Import, collect, and capture data from multiple sources

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

Alter the layout and content of reports

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

Track and analyze user behavior within a system or network

Active reporting of data and metrics

queries that are executed when needed and are usually not repeated on a pre-defined cadence.

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

Allows users to manage data from a number of sources

Store and organize documents in a centralized system

Define levels of authorization for access to specific files or systems

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

Software program that continuously adjusts its behavior based on observed data

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

Track and manage the scheduling of tasks

Import and export data to and from software applications

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

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

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

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

Graphical representation of data

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

Create, design and manage workflows for repetitive tasks

Search for specific words or phrases within a document or database

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

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

Data is backed up automatically to prevent data loss

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

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

Protect sensitive data for digital privacy

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

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

Collect and maintain structured information that describes data or content

Creation and customization of dashboards

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

Securely stores data to prevent data loss or breaches

Combining data from different sources and providing a unified view

Supports common databases such as MySQL and Oracle

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

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

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

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

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

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

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

Create, design and manage workflows for repetitive tasks

System alerts about the need to escalate an issue or request

Receive data and information in real time

Import, collect, and capture data from multiple sources

Import and export data to and from software applications

Manage and store data in a database

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

Allows users to manage data from a number of sources

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

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

Access software remotely via mobile devices

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

Define levels of authorization for access to specific files or systems

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

Active reporting of data and metrics

Graphical representation of data

Configure existing workflows to meet your organization's needs

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

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

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

Receive system updates as soon as any changes are made

Connect to big data sources

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

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

Supports common databases such as MySQL and Oracle

Collect and maintain structured information that describes data or content

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

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

Track the management and flow of data throughout the organization

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

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

Assemble data from multiple sources

Process of extracting, transforming, and loading data

Allows the integration of data between different web services

Reusable integration workflow templates

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