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 calledinformation. Information is a processed data. What is conveyed or represented by a particulararrangement or sequence of things. Data Vs information Data is a collection of facts. Information is how you understand those facts incontext. Data is unorganized while information is organized. Data is not typically useful on its own but information as typically useful on itsown Data generally includes the raw forms of numbers, statements and characterswhile 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 policymakers, decision makers, managers etc. Information will have a reinforcing or transforming effect on human beings onreceiving it. Information generates new information. Information supports research in order to obtain effective and fruitful resultsand 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, Datamanagement is the process of ingesting, storing, organizing, and maintaining thedata, created and collected by the organization. The data management helps ensurethat 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 andother types of repositories for an organizations data. Data models are created to map workflows and the relationships in data seesso that information can be organized to meet business needs. Data is generated, processed and stored in a database, file system, cloudobject storage service or other data repository. Data from different transactions systems and other sources is integrated in adata ware house or data lake for analysis. Data quality checks are done to identify data errors and inconsistencies sothey can be resolved via data cleansing tasks. Data governance programs create data definitions and wage policies toensure that data is consistent across systems.