Data management

What is meant by Data management?

The term "data management" refers to the processes and strategies used to collect, store, manage, process, and utilize data within a company or organization. The goal of data management is to ensure that data can be used efficiently and securely to make informed decisions and optimize business processes.

Typical software functions in the area of "data management":

• Data Integration: Combining data from different sources into a unified system.
• Data Validation: Checking data for accuracy, completeness, and consistency.
• Data Migration: Transferring data between different systems or storage locations.
• Data Cleansing: Identifying and correcting erroneous, redundant, or incomplete data.
• Data Archiving: Long-term storage of data for historical or legal purposes.
• Access Management: Controlling who can access which data to ensure data security and confidentiality.
• Data Analysis: Tools for analyzing and visualizing data to gain insights.
• Data Backup and Recovery: Regular backups and recovery processes to prevent data loss.

Examples of "data management":

• CRM Data Maintenance: Managing and updating customer data in a CRM system.
• ERP Data Integration: Integrating financial, inventory, and production data into an ERP system.
• Data Migration after Software Change: Transferring old data to a new system after a software upgrade.
• Big Data Analytics: Processing and analyzing large datasets for strategic decisions.
• Data Archiving in Accounting: Long-term storage of financial documents for audits.