The Importance of Data Management
Data management is the process of establishing and enforcing policies, procedures and procedures to manage data throughout its lifecycle. It ensures that data is accessible and useful, facilitating 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. This leads to a plethora of data that needs to be consolidated and then delivered to business analytics (BI) systems and enterprise resource management (ERP) platforms, and the Internet of Things (IoT), sensors, and machine learning and generative artificial Intelligence (AI) tools, to provide advanced insights.
Without a clearly defined strategy for managing data, businesses can end up with data silos that are not compatible and inconsistent, which hinder the ability to run analytics and business intelligence applications. Poor data management can also affect the trust of customers and employees.
To tackle these issues businesses must devise a plan for managing data (DMP), which includes the people and processes needed to manage all types data. For instance, a DMP can help researchers identify the naming conventions for files they should follow to organize data sets for long-term storage and for easy access. It could also include data workflows that specify the steps that must be followed for cleansing, validating, and integrating raw data sets and refined data sets in order to allow them to be suitable for analysis.
For organizations 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 such as California’s Consumer Privacy Act. It can also help guide the development of policies and procedures to address security threats to data and audits.
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