Data management is a process which involves the creation and implementation of procedures, policies and procedures to handle data throughout its entire life cycle. It ensures data is accessible and useful, assists in the compliance of regulators and makes informed decisions and ultimately gives a competitive advantage for businesses.
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. The result is a proliferation of data that must be consolidated, and then delivered to business intelligence (BI) and analytics systems, enterprise resource planning (ERP) platforms, Internet of Things (IoT) sensors and machine learning and artificial intelligence (AI) tools to gain advanced insights.
Without a clear strategy for managing data, businesses can end up with silos that are incompatible and inconsistent, which hinder the ability to run analytics and business intelligence applications. Unorganized data management can affect the confidence of employees and customers.
To tackle these issues it is crucial that companies develop a data management plan (DMP) that includes the processes and people required to manage all kinds of data. A DMP, for example can help researchers decide the appropriate file name conventions they should use to organize data sets to store them over the long term and make them simple to access. It may also include the data workflow that https://taeglichedata.de/generated-post-2/ outlines the steps to cleanse, verifying and integrating raw and refined data sets in order to make them suitable for analysis.
For companies that gather consumer information 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 regulations like California’s Consumer Privacy Act. It also can guide the development of procedures and policies to address security threats to data and audits.
