University:
California State University, Los Angeles
Course:
CIS 1200 | Information and Technology Literacy
Academic year:

2023
Views:

197

Pages:

2
Author:

Jithin J I

DATA AND INFORMATION Data is a raw, unorganized facts that need to be processed. When data is processed, organized, structured in a given context so as to make it useful. It is called information. Information is a processed data. What is conveyed or represented by a particular arrangement or sequence of things. Data Vs information     Data is a collection of facts. Information is how you understand those facts in context. Data is unorganized while information is organized. Data is not typically useful on its own but information as typically useful on its own Data generally includes the raw forms of numbers, statements and characters while information does not have to. Information depends on data. Need and Importance of Information      Information is an aid in decision making, policy making needed for the policy makers, decision makers, managers etc. Information will have a reinforcing or transforming effect on human beings on receiving it. Information generates new information. Information supports research in order to obtain effective and fruitful results and to avoid duplication. Information helps in better management of manpower, materials, production, finance, marketing, etc. Information helps in identifying the gaps needed for research. Data Management Data management is an administrative process that includes acquiring, validating, storing, protecting, processing, required data. In the context of organization, Data management is the process of ingesting, storing, organizing, and maintaining the data, created and collected by the organization. The data management helps ensure that data is accurate, available and accessible. Key Process to Data Management The following are the key process of data management: -       A data architecture is designed and deployed with database systems and other types of repositories for an organizations data. Data models are created to map workflows and the relationships in data sees so that information can be organized to meet business needs. Data is generated, processed and stored in a database, file system, cloud object storage service or other data repository. Data from different transactions systems and other sources is integrated in a data ware house or data lake for analysis. Data quality checks are done to identify data errors and inconsistencies so they can be resolved via data cleansing tasks. Data governance programs create data definitions and wage policies to ensure that data is consistent across systems.