Ancillary Information Systems is a tongue-twister for many people. The word "ancillary" is pronounced /ˈænsələri/, with the stress on the first syllable. The "i" in "ancillary" is pronounced like the "i" in "it". The word "information" is pronounced /ɪnfərˈmeɪʃən/, with the stress on the second syllable. The "o" in "information" is pronounced like the "o" in "pot". Finally, the word "systems" is pronounced /ˈsɪstəmz/, with the stress on the first syllable. The "y" in "systems" is pronounced like the "i" in "it".
Ancillary Information Systems refers to secondary or supporting information systems within an organization that support the main or primary information system. These systems are designed to enhance and complement the functionality and capabilities of the primary system. They provide additional support for various tasks and processes that are not directly addressed by the main system.
These systems are typically integrated with the primary information system and share data and resources for more efficient functioning. Ancillary Information Systems perform functions such as data storage, data analysis, data conversion, data retrieval, and data reporting. They can also handle tasks related to communication, document management, workflow management, and decision making.
Ancillary Information Systems can consist of various software applications, hardware devices, and network infrastructure. Examples of these systems include customer relationship management (CRM) systems, enterprise resource planning (ERP) systems, data warehouses, data marts, knowledge management systems, content management systems, and business intelligence tools.
The purpose of Ancillary Information Systems is to provide a comprehensive and integrated approach to managing and utilizing information within an organization. They assist in ensuring that all relevant data is captured, processed, and utilized effectively to support decision making and enhance organizational performance. By leveraging these systems, organizations can streamline operations, improve efficiency, enhance collaboration, and gain valuable insights from their data assets.