Data management is a method that involves creating and enforcing procedures, policies and procedures to manage data throughout its entire lifecycle. It ensures data is accessible and useful, facilitating regulatory compliance and informed decision-making and ultimately creates a competitive advantage for 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. This results in a proliferation of data that must be consolidated and sent to business analytics (BI) systems such as enterprise resource management (ERP) platforms, Internet of Things (IoT) sensors,, machine learning and generative artificial intelligence (AI) tools for advanced insights.

Without a clear data management plan, businesses can end up with data silos that are not compatible and inconsistent data sets that hinder the ability to run business intelligence and analytics applications. Poor data management can also affect the confidence of employees and customers.

To overcome these challenges it is crucial that companies make a plan for data management (DMP) that includes the people and processes needed to manage all types of data. For example an DMP can assist researchers in determining the file naming conventions they should follow to organize data sets for long-term storage and easy access. It could also include an data workflow that specifies the steps for cleansing, validating and integrating raw and refined data sets to allow them to be suitable for analysis.

For companies that collect consumer data for their customers, a DMP can help ensure compliance with privacy laws around the world like the European Union’s General Data Protection Regulation or state-level laws https://taeglichedata.de/verwalten-von-datenprozessen-mit-data-center-management-anwendungen/ like California’s Consumer Privacy Act. It can be used to guide the creation and implementation of procedures and policies which address threats to data security.