The data management function is a core set of business processes that provide resources to facilitate the establishment and adoption of best practices in all data management disciplines. It is the practice of managing data as a valuable resource to unlock its potential for an organization. Data management requires a data strategy and reliable methods to access, integrate, clean, govern, store and prepare data for analysis. Data comes to organizations from many sources, such as operating and transactional systems, scanners, sensors, smart devices, social networks, video and text. Data management performs several functions in an organization's data environment, facilitating essential functions and reducing time.
Training team members on the proper process for entering data and configuring the automation of data preparation is one way to ensure that the data is correct from the start. Master data management (MDM) creates a common set of reference data about things like customers and products. Big data environments are often built around open source technologies such as Hadoop, HBase, Spark, Kafka, Flink and Storm. To make data more accessible, many data management teams are creating data catalogs that document what is available in systems and generally include business glossaries, metadata-based data dictionaries, and data lineage records. Relational databases organize data in tables with rows and columns that contain database records; related records from different tables can be connected using primary and external keys.
Data management software can define the rules that enforce policies, helping to align your data and business strategies. Data management also helps organizations audit business operations, monitor progress toward objectives, and gain insights into what works and what doesn't. To combat the problem of unauthorized access to sensitive information, companies must play an active role in managing and protecting their data throughout its lifecycle. This document shows estimated data usage, accessibility guidelines, archiving approaches, ownership, and more. Effective data management is essential for organizations to unlock the potential of their data. It requires a comprehensive strategy that incorporates reliable methods to access, integrate, clean, govern, store and prepare data for analysis.
With the right tools in place to manage your data properly, you can ensure that your organization is making the most of its valuable resources.