OWOX 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

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.

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.

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.

Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs

Gathers data about the effectiveness, impact, and reach of marketing campaigns

Collects and reports on data relating to customer journeys, preferences, and history

Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results

Includes features for budgeting, forecasting, and managing marketing investments

Offers a white labeling service for agencies or resellers to customize platform branding

Analyzes historical and current marketing campaigns to inform future strategy

Creates reports and dashboards to analyze results of campaigns

Identifies which marketing campaigns resolved in open or closed opportunities

Collects marketing campaign performance data across multiple channels

Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback

Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization

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

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.

The ability to store large quantities of data for analysis within the platform itself.

Tools to fascilitate testing various user experience tweaks in order to determine which configuration has the best results.

Integrations with other software tools in order to fascilitate the exchange of data collected by various software.

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

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.

Data collected and analyzed by the platform delivered in an easily digestible format.

Reports and other relevant data housed in a single, easy-to-navigate location.

Tools to analyze how customers use the site in order to optimize user experience and determine which pages are most successful.

Tools to track the success of various marketing campaigns in order to optimize marketing efforts.

The ability to collect and analyze customer data in order to determine which demographics make up a customer base.

Predictions of future behavior based on past and present data.

Creates a visual map of the data from the source to the target database for the user to see.

Transforms the data into the appropriate format before being transferred.

Moves the data from one database to another.

The software can process numerous type of data and formats.

The software can create the data map with no use of code. This is typically done via drag-and-drop.

Allows the data to be merged or executed before being mapped and transformed.

Offers built-in analytics functionality.

Offers reporting functionality.

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.

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.

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.

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.

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.

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.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

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

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

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

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

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

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 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