Understand the fundamental terms used in Infoveave.
Welcome to the Infoveave Key Terms section. In this section, you will find a concise definition of the fundamental components and terms used in Infoveave.
Gain a deeper understanding of the key elements that make up the Infoveave platform and familiarize yourself with the terminology associated with its features and functionalities.
The process of automating repetitive tasks and processes within Infoveave, such as job scheduling and alerts.
It involves studying data and processes within a business to understand how it operates, identify areas for improvement, and make informed decisions to achieve business goals. It focuses on improving efficiency, profitability, and overall performance.
Calculated measures refer to custom measures that are created using a formula or expression. By defining a formula or expression, users can create measures that are tailored to their specific needs, making it easier to gain insights.
Catalogues serves as a repository of Infoboards, Jobs, Reports, and NGauge Forms.
Cube Designer in Infoveave is a tool that empowers users to define dimensions, measures, and relationships/hierarchies within their datasets. It enables customization of measures, dimensions and hierarchies based on specific analytical needs.
Policies, processes, and controls that ensure data quality, integrity, security, and compliance within an organization.
Data ingestion is the process of importing data from different sources into Infoveave for analysis and visualization. It can involve extracting data from various sources, transforming it as needed, and loading it into Infoveave. Data ingestion enables users to access and work with relevant data for business intelligence purposes
Data mining refers to the process of extracting valuable insights, patterns, and knowledge from large volumes of data. It involves using various computational techniques, algorithms, and statistical methods to explore and analyze data sets with the aim of uncovering hidden patterns, relationships, and trends that can be used to make informed decisions.
The process of converting and modifying data to meet specific requirements, such as aggregating, filtering, or joining datasets.
The graphical representation of data using charts, graphs, maps, or other visual elements to facilitate understanding and analysis.
A date filter in Infoveave is a tool that allows users to narrow down data based on specific date ranges. This can include filtering data by day, week, month, quarter, or year. With the use of date filters, users can easily analyze and visualize data within a specified time period to gain insights into trends and patterns.
A designer layout is a type of dashboard layout/canvas to visually presents important data insights and metrics. It enables analysts to incorporate designs and templates into the dashboard, making it more visually appealing, easier to navigate, and capable of telling a story.
Dimensions are columns in the dataset having qualitative values (like ID, names, dates, and regions). These can be used to categorize, segregate, filter and use the ‘drill-by’ option. For example, City, Country, Category, Product Type and so on.
In a What-If formula, an expression is a customized calculation defined using specific fields. It involves mathematical or logical operations to derive results based on variables and conditions specified in the formula.
A grid layout is a type of layout that is used to organize your widgets and charts. The grid layout can be used to display a variety of data types, including numerical data, text, and images. Grid layouts allow users to easily place widgets to fit the grid size. It avoids the complexity of widget overlapping and supports proper spacing and positioning.
In Infoveave Cube Designer, hierarchies are used to establish a logical relationship between dimensions that are available in a data source. A hierarchy essentially defines the levels of granularity that exist between different dimensions.
Derived findings, patterns, or conclusions obtained from data analysis within Infoveave.
List refers to a feature that allows users to create dynamic lists or collections of data elements. List in Infoveave can be customized and configured to include specific data attributes, such as names, IDs, categories, or any other relevant information
List View is a feature that allows users to visualize and interact with data in a tabular format. It presents data in a structured list-style layout, where each row represents a data record and each column represents a data attribute or field.
A Machine Learning (ML) analysis is using machine learning algorithms to extract insights from data, enabling predictions, classifications, and pattern identification for data-driven decision-making.
A Machine Learning (ML) modeller in Infoveave refers to a feature that integrates ML models as tools for making predictions on datasets. Infoveave leverages ML algorithms to execute and implement suitable models on the dataset, generating predictions based on the selected algorithm
My Organization, provides a centralized hub for the resources shared within an organization. It allows users to collaborate with team members and control access to shared resources.
Each user’s personal workspace in Infoveave, is called My Workspace. It allows them to the easy access to their own Reports, Infoboards, and Lists.
NGauge Agents are bots, that facilitate automated data fetching and processing tasks through voice or text commands. NGauge Agents act as intelligent data collectors, capable of connecting to various data sources, fetching data, and performing specific operations.
An NGuage form refers to a feature that allows users to create interactive data entry forms. These forms enable users to input and update data directly within the Infoveave platform. NGuage forms provide a user-friendly interface for capturing and validating data, ensuring its accuracy and consistency.
SQL query is a command or statement written in the Structured Query Language (SQL) that is used to retrieve, manipulate, and manage data from a datasource. SQL queries in Infoveave allow users to extract specific information from databases or other structured data sources.
In Infoveave, an query report is a report generated using SQL queries. SQL is a programming language for managing databases. With SQL reports, users can extract and analyze specific data by writing custom queries. The results are presented in a report format, including tables, charts, or graphs. SQL reports allow advanced data analysis and customized reporting to gain deeper insights from data sources.
In Infoveave, a report is a structured document that presents data and insights in a formatted manner. It provides a concise summary of data analysis, often including visualizations such as charts and tables. Reports in Infoveave help communicate data-driven insights effectively, supporting informed decision-making processes
SciPyr in Infoveave enables users to perform advanced analytics by leveraging languages like R and Python. It empowers organizations to run large statistical models, enhance operational components, and develop accurate plans and strategies.
It is the process of using math and statistics to study data and find patterns or relationships within it. It helps in making predictions and drawing conclusions based on the data.
Studio is a powerful module for creating and managing data sources, dashboards (Infoboards), and reports. It provides a central hub for designing and integrating data, creating interactive dashboards, and generating visually appealing reports. Studio empowers users to leverage data effectively for analysis and visualization purposes.
Studio user has advanced access and capabilities. They can create and manage data sources, design interactive dashboards, and generate reports. Studio users have extensive privileges for in-depth data analysis and visualization.
In a What-If formula, a value refers to a numerical or percentage assigned to a specific element within the formula, allowing users to manipulate inputs and assess the resulting impact on calculations.
A viewer user, is the user with limited access and primarily focuses on reviewing and consuming insights and information. They can view shared Infoboards, explore insights, and review shared elements without the ability to create or modify data sources, dashboards, or reports. Viewer users are intended for decision-makers who need access to relevant information without the risk of unintended modifications.
What-If analysis is a technique used to assess the impact of hypothetical changes on calculated measures or results. It involves altering variables or assumptions to explore different scenarios and gain insights into potential outcomes and risks, enabling informed decision-making.
What-If formula in Infoveave is a custom expression that incorporates hypothetical changes into calculations. It allows users to observe the impact on calculated measures by modifying input variables or assumptions, enabling scenario analysis and informed decision-making.