Share on facebook
Share on twitter
Share on linkedin

The Importance of Data Management

Data management is the process of creating and enforcing policies, processes and procedures to manage data throughout its lifecycle. It makes sure that data is available and useful, which facilitates regulatory compliance and informed decision-making and ultimately provides an advantage to businesses.

The importance of effective data management has grown significantly as organizations automate their business processes, leverage software-as-a-service (SaaS) applications and deploy data warehouses, among other initiatives. The result is a proliferation of data that must be consolidated and delivered to business intelligence (BI) and analytics systems, enterprise resource planning (ERP) platforms, Internet of Things (IoT) sensors, machine learning and artificial intelligence (AI) tools for advanced insights.

Without a clearly defined data management plan, businesses can end up with incompatible data silos and data sets that are inconsistent that hinder the ability to run business intelligence and analytics applications. A poor data management strategy can cause a loss of confidence in employees and customers.

To meet these challenges businesses must create a data-management strategy (DMP) which includes the people and processes needed to handle all kinds of data. For example the DMP can help researchers identify the file name conventions they should employ to structure data sets for long-term storage and easy access. It can also include an information workflow that outlines the steps for cleansing, verifying and integrating raw and refined data sets to allow them to be suitable for analysis.

A DMP can be utilized by companies that collect customer data to ensure compliance with privacy laws on a global and state level, such as the General Data Protection Regulation of the European Union or California’s Consumer Privacy Act. It can be used to guide the creation and implementation of policies and procedures to address security threats to data.

https://taeglichedata.de/verwalten-von-datenprozessen-mit-data-center-management-anwendungen