SelectZero Features

Allows administrators to assign role-based user access for specific data sets

Hides and masks sensitive data automatically based on user permissions

Provides historical insights into original data sources and transformations made to data sets

Create, design and manage workflows for repetitive tasks

Offers simple search capabilities to discover specific data sets

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

Allows users to comment on data sets to help future users better interact and interpret the data

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

Creates a business glossary for faster understanding by the average business user

Indexes metadata descriptions for easier searching and enhanced insights

Ability to handle large datasets

Offers natural language querying functionality for non-technical users

Cleans data to improve quality via automation

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.

Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Facilitates the disseminating of collected big data throughout parallel computing clusters

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

Correctly identify inaccurate, incomplete, or duplicated data from a data source.

Utilize deletion, modification, appending, merging, or other methods to correct bad data.

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.

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.

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

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.

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

Defines, validates, and monitors business rules to safeguard master data readiness.

Indexes metadata descriptions for enhanced insights.

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.

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.

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.

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

Works across multiple software systems or databases

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

Engages in human-like conversation for task delegation

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

Integrates with Active Directory

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Retrieval of embedded metadata that is present within a file

Data is backed up automatically to prevent data loss

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

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

Verify the identity of users/devices to enable secure access

Protect sensitive data for digital privacy

Track the management and flow of data throughout the organization

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

An organized inventory of all data assets

Allows users to manage data from a number of sources

Organize and group data or items based on various criteria

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

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

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

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

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

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

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

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

Import and export data to and from software applications

Define levels of authorization for access to specific files or systems

Graphical representation of data

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

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

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

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

Protect sensitive data for digital privacy

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

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

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

Data is backed up automatically to prevent data loss

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

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

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

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

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

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

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

Compare new data with existing records to detect duplicate entries

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

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

Track the management and flow of data throughout the organization

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

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

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

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

Configure existing workflows to meet your organization's needs

Create, design and manage workflows for repetitive tasks

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

Protect sensitive data for digital privacy

Retrieval of embedded metadata that is present within a file

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

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

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

Regulate who can view information within the system