Introducing Catalogues
Infoveave’s Catalogue module is your central hub for data discovery and organization within the platform. Think of it as a powerful, searchable library that allows you to easily find, understand, and utilize the data assets available to you.
Within the Catalogue, you can browse and search for various data assets, like datasources, workflows, infoboards, and reports. Each asset is accompanied by rich metadata, offering valuable context such as descriptions, owners, creation dates, documentation and data quality indicators. This allows you to quickly assess the relevance and trustworthiness of the data before you start using it.
Key features of the Catalogue module include faceted search for refined discovery, tagging and categorization for enhanced organization, and the ability to view data lineage to trace the origins and transformations of your data. By providing a single source of truth for your data landscape, the Catalogue module promotes data literacy, collaboration, and informed decision-making across your organization. Ultimately, it empowers you to unlock the full potential of your data assets.
Catalogues
Infoveave’s Catalogues feature provides a convenient and organized way for you to access detailed information about your Infoveave assets such as Datasources, Infoboards, Reports, Lists, Workflows, NGauge Forms, Alerts, What-If Analysis, Workflows, or Connections.
Domains
Domains play a critical role in organizing and categorizing data within your organization. They provide a structured approach to data management, which enhances the accessibility and retrieval of information. Domains define specific categories of data such as customer information, product specifications, or financial records. By clearly defining these domains, you can manage your data assets efficiently, streamline operations, and support data-driven decision-making.
Assets
Assets include a range of data and tools that are essential to your organization’s operations. They consist of key components such as Datasources, Infoboards, Reports, Lists, NGauge Forms, Alerts, What-If Analysis, Workflows, and Connections. These assets are valuable resources for managing, analyzing, and visualizing data. By organizing these assets in a central catalog, you can access and use the information efficiently for decision-making and process optimization. Each asset type serves a unique purpose, from data collection to analysis and reporting, which helps you manage your data ecosystem effectively.
Tiers
Tiers in Infoveave are essential for the efficient management of data in your organization. They allow you to categorize data based on its sensitivity and importance, ensuring that appropriate protections, controls, and policies are in place. By classifying data into different tiers, you can safeguard sensitive information while optimizing the allocation of resources. Tiers help you prioritize data management efforts and provide clear guidelines for data retention and disposal. This structured approach simplifies data governance, making it easier to manage the data lifecycle and maintain compliance with organizational and regulatory requirements.
Tags
Tags in Infoveave offer a flexible and efficient way for you to organize and categorize assets by assigning specific attributes or characteristics. By labeling items with relevant tags, you can categorize assets based on attributes such as status, priority, topic, or any other important factor. Tags improve asset management by enabling quick filtering and analysis. This helps you gain valuable insights and make informed, data-driven decisions. This streamlined method ensures that your assets are organized effectively and improves both accessibility and overall management efficiency.
Glossary
Glossary in Infoveave serves as a central resource for defining and explaining the key terms, concepts, and abbreviations used in your data ecosystem. By maintaining a comprehensive glossary, you ensure consistency in terminology across teams, departments, and projects. It provides clear and concise definitions that help eliminate confusion and standardize communication. The glossary improves understanding by offering quick access to the meanings of complex terms. This ensures that all stakeholders are aligned and have a shared understanding of the language used in your data catalogues.