Zap Data Hub 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

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.

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

Automatic creation and management of documents.

The software supports a wide variety of data sources and data warehouses that require automation.

Supports a template system, making it easier to set up configuration parameters.

Consolidates, Cleanses and Normalizes data from multiple disparate sources.

Helps save storage capacity and improves query performance.

Eliminates data inconsistency and duplications ensuring data integrity.

SQL based analytics functions like Time series, pattern matching, geospatial analytics etc.

Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc.

Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS

Process of extracting and moving data from multiple sources to a single and unified database

Import, collect, and capture data from multiple sources

Analyze and gain insights into data in real-time

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

Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.

Integrates with BI Tools to transform data into Actionable Insights.

Provides On-Premise deployment options.

Provides Cloud deployment options (private or public cloud, hybrid cloud).

Manages huge volumes of data, upscale or downscale as per demand.

Policies, procedures and standards to manage and access data.

Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion

Software is able to alert the user in case of any errors.

Utilizes data to proactively identify IT issues.

Creates new or streamlines existing data models to ensure business continuity.

Automates all parts of the Data Warehouse lifecycle - warehouse design, provision data sources.

Supports real-time data ingestions and updates in the cloud or on-premises.

Software delivers insights into data in order to identify gaps, risk within the data warehouse.

Supports no-code/low code development patterns.

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.

Anticipates needs and offers suggestions without prompting

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

Running multiple processors to handle separate parts of an overall task and manage complex tasks/computations.

Allows users to manage data from a number of sources

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

Blending and analysis of large data sets without moving data out of a database.

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

Active reporting of data and metrics

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

Active monitoring of systems, applications, or networks

Connect to big data sources

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

Generate one-off reports that meet information requirements

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

Define levels of authorization for access to specific files or systems

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

Graphical representation of data

Import and export data to and from software applications

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

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

Securely stores data to prevent data loss or breaches

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

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

Alter the layout and content of reports

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

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

Track the management and flow of data throughout the organization

Running multiple processors to handle separate parts of an overall task and manage complex tasks/computations.

Allows users to manage data from a number of sources

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

Blending and analysis of large data sets without moving data out of a database.

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

Active reporting of data and metrics

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

Active monitoring of systems, applications, or networks

Connect to big data sources

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

Generate one-off reports that meet information requirements

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

Define levels of authorization for access to specific files or systems

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

Graphical representation of data

Import and export data to and from software applications

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

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

Securely stores data to prevent data loss or breaches

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

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

Alter the layout and content of reports

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

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

Track the management and flow of data throughout the organization

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