Data management is a process that involves creating and enforcing procedures, policies and processes to handle data throughout its entire lifecycle. It ensures that data is useful and accessible, facilitates regulatory compliance and enables 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 creates a flood of data that needs to be consolidated, and delivered to business analytics (BI) systems and enterprise resource management (ERP) platforms as well as the Internet of Things (IoT), sensors, and machine learning and generative artificial intelligence (AI) tools, to gain advanced insights.

Without a clear data management strategy, companies could end up with incompatible data https://taeglichedata.de/pflege-von-datenprozessen-nach-sitzungssaal/ silos and data sets that are inconsistent that hinder the ability to run business intelligence and analytics applications. A poor data management strategy can affect the trust of customers and employees.

To overcome these challenges It is essential that businesses make a plan for data management (DMP) that includes the people and processes needed to manage all kinds of data. For instance an DMP can assist researchers in determining the file name conventions they should employ to structure data sets for long-term storage as well as easy access. It can also include the data workflow that outlines the steps involved in cleansing, checking and integrating raw as well as refined data sets to allow them to be suitable for analysis.

For organizations that collect consumer information For companies that collect consumer information, a DMP can assist in ensuring compliance with global privacy laws such as the European Union’s General Data Protection Regulation or state-level regulations like California’s Consumer Privacy Act. It can be used to guide the development and implementation of procedures and policies which address threats to data security.