Data Collection
Data collection is the first step towards data management. It means gathering data from various sources like customer activities, sales transactions, social media, and so on. The quality and accuracy of the data at this stage matter for further data management processes.

Data Storage
Data storage, which should be appropriate and secure, comes next after data collection. On this note, most of the modern options for storing data, such as cloud-based databases, enable a business to store huge amounts of data effectively since they are flexible and scalable.

Security
Among the most important considerations in data management is the security factor. Sensitive information should, therefore, be well protected from access by unauthorized persons and breaches. Strong security measures, such as encryption and access controls, are among the key ways to safeguard data integrity and confidentiality.

Data Analysis
Data analysis refers to the examination and interpretation of data in the attainment of useful insights or meaningful patterns. Advanced analytical tools and techniques, such as machine learning and predictive analytics, give businesses the opportunity to discover trends, spot opportunities, and drive data-driven decisions.

Data Governance
Data governance establishes policies, procedures, and standards to ensure adequate management and use of data across an organization. The good governance of data also gives out good quality data by ensuring accountability and, hence compliance with the set regulatory requirements.