Explained: Data Management Systems

The process of ingesting, storing, organizing, and maintaining data is known as data management. The Data Management Systems are a crucial part of the IT systems that provide analytical information to help corporate executives, business managers and other end-users to develop strategical planning. The process of data management includes a combination of different types of functions which makes sure that all the data existing in the corporate system is available, accessible and accurate. The businesses also perform in the p[process of the work done by the IT and the Data Management Systems to ensure that the data meet their needs. The amount of data transferred and shared through File Transfer Software and File Sharing Software is enough to establish that we are all surrounded by a world of data. The data management process includes individual disciplines, practices done to manage data and the timeline of a perfect data management strategy. 

Why do we need Data Management?  

Data is looked upon as a corporate asset that one can use to make more informed decisions, optimize business operations, reduce costs and improve marketing campaigns. The main goal of the data management process is to generate profits and revenue. However, lack of proper data management systems can actually saddle organizations with inconsistent data sets, data quality issues and incompatible data silos. The absence of data management can also limit the running of analytics applications and business intelligence or even lead to faulty findings. The importance of data management has grown due to businesses being subjected to an increasing number of regulatory compliance requirements, which includes various data protection and privacy laws. Apart from that, companies are consuming and generating a large amount of data, they are constantly transferring and sharing data through File Transfer Software and File Sharing Software. The environment of big data can become unwieldy and hard to navigate without the process of data management.  

The key parts of the data management process 

l  The process starts with hiring a Data Architecture who will be responsible to maintain the repository for an organization's data and then organize it. 

l  Data models are created to map workflows and the relationships between data sets so that all the information can be organized as per the organization's needs.

l  The data can be processed and stored in a file system, cloud object storage device, database or any other data repository. 

l  The data is extracted from different transaction systems and other sources to integrate them into a data warehouse for analysis.

l  The data quality checks are done to identify data inconsistencies and data errors so that they can be resolved through data cleansing tasks. 

The data governance programmes create usage policies and data definitions to ensure that the data is consistent across systems. 

The database management system (DBMS) is the primary technology to deploy and administer databases. Acting as an interface between databases, the database management system controls the database administrators, users and applications that access them. The data management disciplines include data integration, data governance, data modelling and others. There are a lot of tools and techniques that are employed as part of the data management process.

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