The Importance of Data Management

Data management is the process of creating and enforcing rules, processes and procedures to manage data throughout its entire lifecycle. It ensures that data is accessible and useful, assists in the compliance of regulators and makes informed decisions and ultimately creates companies with a competitive advantage.

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 delivered to business analytics (BI) systems and enterprise resource management (ERP) platforms as well as the Internet of Things (IoT) sensors,, machine learning and generative artificial Intelligence (AI) tools for advanced insights.

Without a well-defined data management plan, businesses can end up with incompatible data silos and data sets that are inconsistent that hamper the ability to run business intelligence and analytics applications. Poor data management can also affect the confidence of employees and customers.

To tackle these issues companies need to develop an effective data-management plan (DMP) which includes the people and processes required to manage all kinds of data. For instance, a DMP can help researchers determine the file naming conventions they should use to structure data sets to ensure long-term storage and easy access. It could also include data workflows which define the steps to https://taeglichedata.de/verwalten-von-datenprozessen-mit-data-center-management-anwendungen/ follow to cleanse, validate, and integrating raw data sets and refined data sets to allow them to be suitable for analysis.

A DMP can be used by organizations that collect consumer data to ensure compliance with privacy laws on a global and state scale, such as the General Data Protection Regulation of the European Union or California’s Consumer Privacy Act. It can be used to guide the development and implementation of policies and procedures that address data security threats.