Glossary

AI analytics utilizes algorithms to autonomously analyze data, providing advanced insights and predictions, revolutionizing decision-making processes with automation.

Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems.

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.

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.

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.

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.

Interactive analytics enables users to explore and analyze data interactively in real-time, facilitating dynamic data manipulation and insightful decision-making.

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.