List of data catalogs tools
Data catalog is a structured collection of data used by an organization. It is a kind of data library where data is indexed, well-organized, and securely stored. Most data catalog tools contain information about the source, data usage, relationships between entities as well as data lineage. This provides a description of the origin of the data and tracks changes in the data to its final form.
List of tools that help build, maintain an share business glossaries.
Business Glossary is a collection of definitions and terms used within a business unitorganization. It is not used to define data, but rather to define what a particular term means from a business perspective. The definitions are mapped and logically linked to entities in the database. This enables structured communication between teams and allows them to reveal potential errors resulting from incorrect nomenclature.
Data democratization tools enable the access of data by anyone in the organization, regardless of their role or technical knowledge, in order to make data-informed decisions. It's a crucial element which eliminates gatekeepers and bottlenecks that they create in the company.
Data intelligence tools refer to the artificial intelligence and machine learning tools used by companies in order to analyze and transform data into information that is valuable and relevant for improving the company's operations.
Data lineage tools are software that allows to extract, view and analyze data lineage. Data lineage is the process of understanding and visualizing data flow from the source to different destinations. It allows to create a map of the data journey through the entire ecosystem.
Data literacy tools empower employees to read, work with, analyze, and communicate with data. It enables them to ask the right questions and build knowledge in order to communicate meanings through data. Data skills are now essential for any role and the lack of data literacy within the company can lead to misinterpretation and misrepresentation of the facts.
Data observability tools help the company track and understand the state of its data at any given time and provide it with full insight into their data pipelines. They also allow them to identify, monitor and troubleshoot errors in order to minimize data issues and improve high data quality.
Data Profiling tools allow analyzing, monitoring, and reviewing data from existing databases in order to provide critical insights. Data profiling can help organizations improve data quality and decision-making process by identifying problems and addressing them before they arise.
Data quality tools measure how good and useful a data set is to serve its intended purpose. High quality data can lead to better decision-making and faster insights as well as reduce the costs of identifying and dealing with bad data in the system. It can also save time and allow companies to focus on more important tasks.
List of metadata management tools
Metadata management tool is a solution that supplements the data stored by the enterprise environment with useful information. Proper metadata management is a crucial factor to make information searchable, easy to locate and understand. Such tools add meaningful context to raw data, making it convenient to discover even by non-IT members of an organization.
Reference data management tools help manage and bring consistency to your data. They enable business users to aggregate data quickly and understand the overall condition of the business. Reference data tends to be overlooked in many enterprises but although its amount in most organizations is relatively small, it can cause a major difference in data management.
List of sensitive data discovery tools
In recent years many international organizations, countries, states etc. have introduced strict regulations regarding sensitive data storing and processing (GDPR in EU, CCPA in California state or PDBP in India just to name a few) to ensure that companies and organizations handle personal information correctly. This should motivate organizations to revise their data protection policies and identify all private data they collect and process. Invaluable help with this tedious task are sensitive data discovery tools.