Glossary
AI analytics utilizes algorithms to autonomously analyze data, providing advanced insights and predictions, revolutionizing decision-making processes with automation.
An analytics dashboard is a visual tool that consolidates and displays key data and metrics, allowing users to monitor real-time performance and make informed decisions.
Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems.
A Business Intelligence (BI) tool is a software application designed to collect, process, analyze, and present large volumes of data to help organizations make informed business decisions.
Business intelligence refers to the processes and tools used to collect, store, retrieve, and analyze data for the purpose of making sound business decisions.
Contextual analytics involves the analysis of data within its relevant context to derive meaningful insights and make informed decisions.
Continuous Intelligence is real-time data analysis for immediate insights, enabling proactive decision-making and automated responses to dynamic events.
Conversational analytics involves the analysis of customer interactions, employing artificial intelligence and machine learning to transform human conversations into actionable data points.
Customer-facing analytics integrates data insights directly into user applications, offering real-time, personalized information to enhance user experience and engagement.
Data analytics is the process of examining raw data to uncover patterns, draw conclusions, and support decision-making.
Data discovery is the method of exploring data to find valuable insights and patterns using techniques like visualization and statistical analysis.
Data-driven storytelling is the practice of using data to craft compelling narratives, combining analytical insights with storytelling techniques to effectively communicate information and influence decision-making.
Data visualization is the process of representing data in visual formats such as charts, graphs, and maps to facilitate understanding, analysis, and communication of complex information.
A data visualization tool is software that helps convert raw data into visual formats like charts, graphs, and maps, making complex data easier to understand and analyze.
Embedded analytics integrates data analysis seamlessly within software, empowering users with insights directly in their workflow.
Embedded BI refers to the integration of business intelligence functionalities, such as reporting, dashboards, and analytics, directly into existing software applications.
Embedded charts are visual representations of data that are integrated directly into software applications, websites, or other digital platforms.
An embedded dashboard in Business Intelligence (BI) refers to a data visualization tool that is integrated directly into an application or software platform.
Embedded reporting refers to the integration of reporting tools and functionalities directly within third-party software applications or platforms, allowing users to access and interact with reports seamlessly within their existing workflows.
An Embedded SDK is a toolbox for developers to create software for specialized devices with limited resources.
Interactive analytics enables users to explore and analyze data interactively in real-time, facilitating dynamic data manipulation and insightful decision-making.
Machine learning is a subset of artificial intelligence (AI) that enables systems to learn and improve from experience without being explicitly programmed.
OEM analytics software provides SaaS companies with pre-built solutions that help minimize development costs and easily integrate with their existing applications.
Performance analytics is the systematic examination of data to evaluate and enhance the effectiveness and efficiency of organizational operations and strategies, enabling data-driven decision-making and continuous improvement.
Predictive analytics uses historical data and algorithms to forecast future events and trends.