Kyvos Semantic Layer Features

Processes data and represents interpretations in a variety of graphic formats.

Strings together specific functions and datasets to automate analytics iterations.

Isolates certain datasets and facilitates management of data access.

Allows big data tool to run and record data within external applications.

Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

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

Central repositories of integrated data from various sources

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

Connect to big data sources

Generate one-off reports that meet information requirements

Alter the layout and content of reports

System alerts about the need to escalate an issue or request

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

Form predictions based on past and present data/trends

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

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

Define levels of authorization for access to specific files or systems

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

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

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

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

Creation and customization of dashboards

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

Protect sensitive data for digital privacy

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

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

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Process and analyze large volume of data

Supports common databases such as MySQL and Oracle

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

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

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

Allows users or AI assistants to explore and query metrics through natural language prompts

Enables AI and machine learning systems to directly consume standardized, governed metrics and logic

Suggests relevant metrics, joins, or insights based on context and historical usage patterns

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

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

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.

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

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

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

Collects, stores, and organizes massive, unstructured data in real time

Facilitates the disseminating of collected big data throughout parallel computing clusters

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

Facilitates analysis of high-volume, real-time data.

Allows user to query data through query languages like SQL.

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

Predict future data based on historical data sets

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

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Hadoop

Enhances performance by using intelligent caching, precomputation, and acceleration techniques

Automatically tunes and optimizes queries based on data size, frequency, and usage patterns

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

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

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

Provides visibility and control over how AI systems or automated agents interact with the semantic layer

Tracks how governed metrics and datasets are used in AI/ML training to ensure transparency, compliance, and clear data traceability

Provides version control for semantic models and metrics, with change tracking, rollback, and impact analysis to see how updates affect downstream data or reports

Supports deployment across multiple environments or cloud platforms with consistent configuration management

Provides APIs and SDKs for seamless integration with orchestration, governance, and custom data tools

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

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

Moves big data collection and processing to the cloud

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

Enables users to create derived or calculated metrics based on governed data definitions

Provides built-in support for time-based calculations such as YoY, MoM, and rolling averages

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Spark

Integrates data from multiple external databases.

Facilitates the dissemination of collected big data throughout parallel computing clusters.

Receive data and information in real time

Import, collect, and capture data from multiple sources

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

Provides varying estimates based on different scenarios

Apply statistical/mathematical models to sets of data

Merge data from multiple sources to a single data set

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

Allows querying and joining data across multiple warehouses and lakes without requiring data replication

Automatically adapts to schema or metadata changes in connected data sources while maintaining consistency

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

Facilitates solution to run on and scale to a large number of machines and systems

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

Aligns processing and distribution workflows on top of Apache Hadoop

Enables autonomous AI agents to compose, execute, and refine analytical queries via the semantic layer

Provides semantic context graphs that help AI agents understand data relationships and business logic

Allows semantic agents to trigger automated actions such as data refreshes, alerts, or report generation

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