Data management is the process of establishing and enforcing policies, processes and procedures to manage data throughout its lifecycle. It ensures that data is reliable and accessible, which facilitates compliance with regulations, and enables informed decisions.

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 growing amount 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 generative (AI) tools to provide advanced insights.

Without a well-defined data management strategy, businesses could end up with incompatible data silos and inconsistent data sets that hamper the ability to run business intelligence and analytics applications. Inadequate data management can reduce the trust of customers and employees.

To address these challenges It is essential that businesses come up with a data management plan (DMP) that includes the processes and people required to manage all kinds of data. A DMP, for example can help researchers decide the naming conventions for files that they should follow to arrange data sets to store them over the long term and make them simple to access. It could also include a data workflow that defines the steps needed for cleansing, testing and integrating raw and refined data sets in order to ensure they are suitable for analysis.

A DMP can be utilized by companies that collect https://taeglichedata.de/pflege-von-datenprozessen-nach-sitzungssaal/ customer data to ensure compliance with privacy laws at the state and international level, for example, the General Data Protection Regulation of the European Union or California's Consumer Privacy Act. It can also aid in the development of procedures and policies for dealing with data security risks and audits.