Datazip Features

Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Alter the layout and content of reports

Reports specific to marketing and associated campaigns

Reports specific to sales analysis for trends and strategies

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

Edit and personalize data view as needed

Alter the layout and content of reports

Alter the layout and content of reports

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

Alter the layout and content of dashboards

Using formulas based on existing data elements, users can create and calculate new field values.

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights.

Ability to search global data set to find and discover data.

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Tool automatically suggests data types, schemas and hierarchies.

Ability to interact with the application using human languages such as English

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

Merge data from multiple sources to a single data set

Merge data from multiple sources to a single data set

Analyze current and historical trends to make predictions about future events.

Communicate complex information clearly and effectively through advanced graphical techniques.

Ability to handle large, complex, and/or siloed data sets.

Analyze and gain insights into data in real-time

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

Analyze and gain insights into data in real-time

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

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

Converts data formats of source data into the format required for the reporting system without mistakes.

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

Receive data and information in real time

Receive data and information in real time

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

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

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

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

Identify the different type of anomalies and receive alerts.

The data observability environment can be viewed from a single dashboard.

Provides immediate alerts for any anomalies or expected events.

Establishes lineage for the data pipeline - from data warehouse to the data user.

Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.

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

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

Generate real-time depth analytics utilizing event metrics, logging and metadata.

Use custom or pre-built tests for buisness rules. to ensure data quality.

Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.

Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Using formulas based on existing data elements, users can create and calculate new field values

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Allows the user to combine data from multiple sources into a functioning dataset.

Import, collect, and capture data from multiple sources

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

Provides a web-based interface for designing, documenting, and testing APIs.

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

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

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.

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

Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase)

Provides Integrations to EDI service providers.

Receive data and information in real time

Import, collect, and capture data from multiple sources

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

Supports deployment of integration apps to a managed cloud environment

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.

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.

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.

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.

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.

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

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

Engages in human-like conversation for task delegation

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

Engages in human-like conversation for task delegation

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

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Enables automated report generation and scheduled delivery to stakeholders

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Allows users to manage data from a number of sources

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

Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams

Supports common databases such as MySQL and Oracle

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time

Recommends next questions, analyses, or exploration paths using autonomous AI agents

Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying

One-off queries made on an as-needed basis

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

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

Securely stores data to prevent data loss or breaches

Import and export data to and from software applications

Add customized logos and colors to align with company branding

Creation and customization of dashboards

Define levels of authorization for access to specific files or systems

Active reporting of data and metrics

Collect and maintain structured information that describes data or content

Form predictions based on past and present data/trends

Manage and store data in a database

Generate one-off reports that meet information requirements

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

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

Access, combine, transform, and store data without the help of an IT department

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

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

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

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

Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.

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

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

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

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

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

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

Ability to present data insights in the form of a story to the audience

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

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

Financing arranged by the dealership

Generate reports on your own without IT involvement

Tracking the status of previously identified performance measurements

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

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

Combining data from different sources and providing a unified view

Visual representation of performance data, enabling users to monitor progress, identify trends, and make data-driven decisions

Ability to handle large datasets

Create, manage and track all task activities and progression

Reporting on how each user, task or process has advanced since its initiation

Connect to big data sources

Graphical representation of data

Evaluate the degree to which business operations bring monetary gains

Monitor the progress of projects from start to finish

At a high level, visualize a preferred outcome, define goals and identify specific steps to achieve them

Establish measurable goals and objectives and track their progress over a specific period of time

Share pre-configured sets of data organized and presented in a specific manner with the organization

Predict future data based on historical data sets

Active monitoring of systems, applications, or networks

Sample files or documents that could be customized as needed or used as is

Access software remotely via mobile devices

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

Create, design and manage workflows for repetitive tasks

Generate reports to assess the financial performance of an organization

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

Online Analytical Processing technology for performing high-speed complex queries or multidimensional analysis on large volumes of data

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

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

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

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

Define levels of authorization for access to specific files or systems

Access reports on mobile devices

Track the management and flow of data throughout the organization

Allows users to manage data from a number of sources

Form predictions based on past and present data/trends

Add customized logos and colors to align with company branding

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

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

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

Analyze and gain insights into data in real-time

Create, design and manage workflows for repetitive tasks

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

One-off queries made on an as-needed basis

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

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

Build unique software tools based on your specific requirements

Active reporting of data and metrics

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

Visualize locations on a map

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

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

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

Generate reports on your own without IT involvement

Import, collect, and capture data from multiple sources

Embed/link applications into third party software so it can be accessed within a third party system

Generate one-off reports that meet information requirements

Create, design, and visually represent processes within the software

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

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

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

Predict future data based on historical data sets

Graphical representation of data

Connect to big data sources

Compare key metrics for the business against prominent players in the industry

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

Monitor and visualize trends across live data streams

Access software remotely via mobile devices

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

Creation and customization of dashboards

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

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