The Importance of Data Management

Data management is the process of creating and enforcing processes, policies and procedures to manage data throughout its lifecycle. It ensures that data is useful and accessible, facilitates compliance with regulations and enables informed decision-making.

The importance of effective data management has grown significantly as organizations automate pflege von datenprozessen nach sitzungssaal their business processes, leverage software-as-a-service (SaaS) applications and deploy data warehouses, among other initiatives. The result is a growing amount of data that must be consolidated, and then delivered to business intelligence (BI) and analytics systems as well as enterprise resource planning (ERP) platforms, Internet of Things (IoT) sensors and machine learning and Artificial Intelligence generative (AI) tools to gain advanced insights.

Without a clear data management plan, businesses may end up with data silos that are not compatible and inconsistent data sets which hinder the ability to operate business intelligence and analytics applications. A poor data management strategy can erode employee and customer trust.

To address these challenges, it’s essential that companies create a data management strategy (DMP) that includes the people and processes required to manage all kinds of data. A DMP, for example can assist researchers in determining the file naming conventions that they should use to organize data sets to keep them for a long time and make them easy to access. It could also include data workflows that define the steps to take to cleanse, validate, and integrating raw data sets as well as refined data sets to make them suitable for analysis.

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