Data management is a method that involves creating and enforcing procedures, policies and procedures to manage data throughout its entire life cycle. It makes sure that data is available and useful, facilitating the compliance of regulators and makes informed decisions and ultimately creates 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. This results in a growing amount of data which must be consolidated, and delivered to business analytics (BI) systems as well as enterprise resource management (ERP) platforms, and the Internet of Things (IoT) sensors,, machine learning and generative artificial Intelligence (AI) tools, to provide advanced insights.
Without a clearly defined data management strategy, companies can end up with data silos that are incompatible and inconsistent data sets that hinder the ability to manage business intelligence and analytics applications. A poor data management strategy can undermine employee and customer confidence.
To meet these challenges It is essential that businesses come up with a data management plan (DMP) that includes the people and processes needed to manage all types of data. For example an DMP can help researchers identify the naming conventions that they should follow to organize data sets for long-term storage as well as easy access. It can also contain data workflows which define the steps to follow for cleansing, validating, and integrating raw data sets as well as refined data sets to ensure that they are suitable for analysis.
A DMP can be used by companies that collect consumer 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 be used to guide the creation and implementation of procedures and policies to address security threats to data.
https://taeglichedata.de/verwalten-von-datenprozessen-mit-data-center-management-anwendungen
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