Data management is a procedure https://taeglichedata.de/verwalten-von-datenprozessen-mit-data-center-management-anwendungen that involves creating and enforcing procedures, policies and procedures to handle data throughout its entire life cycle. It ensures that data is useful and easily accessible, facilitates compliance with regulations and facilitates informed decision-making.
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 plethora of data that needs to be consolidated and sent to business intelligence (BI) and analytics systems and enterprise resource planning (ERP) platforms, Internet of Things (IoT) sensors, machine learning and generative artificial intelligence (AI) tools to gain advanced insights.
Without a clear data management plan, businesses can end up with data silos that are not compatible and inconsistent, which hinder the ability to run analytics and business intelligence applications. Inadequate data management can erode employee and customer trust.
To meet these challenges to meet these challenges, it’s crucial that businesses come up with a data management plan (DMP) that includes the processes and people required to manage all kinds of data. For example the DMP can assist researchers in determining the file naming conventions they should employ to structure data sets to ensure long-term storage and access. It can also contain an data workflow that specifies the steps for cleansing, verifying and integrating raw and refined data sets in order to ensure they are suitable for analysis.
For organizations that collect consumer information for their customers, a DMP can assist in ensuring compliance with privacy laws around the world such as the European Union’s General Data Protection Regulation or state-level laws like California’s Consumer Privacy Act. It also can guide the creation of policies and procedures to deal with security threats to data and audits.
