IndexHistoryPrinciples of Good Data ManagementData PolicyData OwnershipEstablishing a Data PolicyData AcquisitionData Care – StewardshipImplementationData Management ChampionData ManagerData StewardAdvantagesBenefits for Database Providers dataBenefits for users and customersCase study examplesFuture trendsReal-time analyticsA greater focus on securityConclusionThis essay will discuss the importance of database management, how it came into being, its key principles, its implementation, and the benefits it brings to an organization or company. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original EssayWhat is Database Management? Database management is simply the act of manipulating and controlling data to meet user needs, usually with the help of a program. A database, simply put, is an organized collection of data. A database is a system that allows you to easily store, access, manipulate, and update data. Meanwhile, data is basically facts, events, transactions that have been recorded. So why is database management important? Due to limited resources, databases must be managed in the most efficient and cost-effective manner to ensure the continuation of an organization. If the database is not managed properly, it can lead to inefficiencies, misuse or data loss/theft or unusability. History Early on, IBM created a program called IMS. It provided less redundant data, data independence, and more. However, it was difficult to implement and there were no standards to adhere to. Then there was the network database management system. CODASYL invented a program called COBOL along with the CODASYL approach. Using this approach, it was possible to use DBMS for business use. However, it was still complex with design and maintenance issues. The relational DBMS was then invented to fill the void. It was a new system for entering data and working with large databases using a table system of records. Making things easier to search or remove and also making the program more user-friendly. Principles of Good Data ManagementSo what are the requirements to properly manage your database? Excellent data management is vital to the correct use of an organization's information resources throughout its structure. Below are some of the key concepts. Data Policy A good foundation in data policy will ensure good data management. Each policy may differ from one organization to another, but a standard must be adhered to for data management to work. Furthermore, in our times data policies should be reviewed from time to time to keep up with current or future threats. It should not be stagnant. Data ownership The ownership of the data must be clear. The owners are the ones who first had the data and have custody of its control, legal rights and financial aspects. The owners have the right to do anything with the data and even destroy it. If the owner is unclear, there is a risk that the data will be misused, used for free, and even lost. It is therefore important that data owners take action to establish and document: Ownership of their data to be safeguarded. The legal and non-legal obligation relating to their nature of use to ensure that the data is compliant. Departmental policies such as data security etc. must be periodically updated with current and future threats or issues. Theusers and customers must agree on how the data is used and let the agreement be signed by both parties. Establish a data policy Below are some templates of a data policy statement prescribed by the IGGI organization, for you to use and adapt to your needs. Data acquisition With projects and activities data will be created and whether it already existed and can be used, or whether new data is needed. Before projects are approved, they must outline how the data received will be best used, responsibilities for using the data and how the benefits will be maximized and shared. Proper data management and storage is necessary in order to make full use of it. Data care – Responsible management The steward ensures that procedures are followed. The data will be kept in a secure database and archived for maximum lifecycle. All data will be checked and quality checked before being used or stored. The data will be made easily accessible by staff and customers. Data that does not need to be retained will be explored if it can provide benefits and be justified by the cost of maintaining it. Implementation For an organization to be successful, data management best practices must be implemented throughout the organization, spearheaded by the data management champion along with data managers and data stewards to help. Data Management Champion The champion is responsible for: Ensuring data management policy is in line with law and government policy Feedback to manager on progress in improving data quality and outcomes of good data management. If your organization is large, having multiple branches across a large geographic area will require a leadership team to manage data. Data Officer The Data Officer together with his local counterpart will fulfill these responsibilities: Develop and maintain the data policy statement and company guidance. Lead the development, implementation and maintenance of detailed data policies, standards, procedures and guidelines throughout the organization. Appoint and monitor data stewards. Provide guidance and training to staff. Standardize local practices in individual activities. Ensure the maintenance of the central metadata resource. Data Stewards Data Stewards are responsible for applying standards to each data set: the data set must be written into the organization's catalog following the standards for metadata discovery, to allow ownership, intellectual property rights, management and accessibility to be determined. The policy for the use of the dataset and its making available to third parties must be based on mutual consent and in writing. The dataset and its terms of use must comply with all statutory and non-statutory obligations of the organization. Data must follow standard categorization and definitions, where appropriate, and must adhere to all related standards, practical ethics and other protocols. The data must be fully validated and of guaranteed quality with sufficiently detailed metadata to allow it to be used by third parties without reference to the owner of the data. Data must be stored, managed and accessible in line with agreed data management and security/privacy policies. The use of data by internal and external customers must be authorized and acceptance of the conditions of use documented. The costs and benefits of continuing to maintain the data set should be reviewed periodically.BenefitsData in all media are valuable resources and if their management is done correctly.