Data management is the process of establishing and enforcing policies, procedures and procedures for handling data throughout its lifecycle. It ensures that data is reliable and easily accessible, facilitates regulatory compliance and allows for 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 https://taeglichedata.de/verwalten-von-datenprozessen-mit-data-center-management-anwendungen/ data warehouses, among other initiatives. This leads to a plethora of data which must be consolidated and sent to business analytics (BI) systems and 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, which hinder the ability to operate business intelligence and analytics applications. Poor data management can also undermine employee and customer confidence.
To tackle these issues to meet these challenges, it’s crucial that businesses develop a data management plan (DMP) that includes the processes and people required to manage all kinds of data. For instance the DMP can help researchers identify the naming conventions that they should employ to structure data sets for long-term storage and access. It can also include data workflows that define the steps to be taken for cleansing, validating and integrating raw data sets as well as refined data sets in order to make them 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, such as 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 policies and procedures which address threats to data security.