L2: Data Management

Data management

involves the processes, technologies, and policies used to collect, store, organize, secure, and utilize data efficiently

Data management

It increases data accuracy and accessibility to ensure user reliability.

Structured Data

Data stored in a well-defined format, typically in relational databases.

Example: A MySQL database storing employee records with

fields like Employee ID, Name, Department, and Salary.

Unstructured Data

Data without a predefined format.

Example: A collection of customer support emails or images stored in cloud storage.

Semi-Structured Data

Data information that doesn't have a fixed structure, but instead uses tags or markers to separate data elements.

Example: Emails: The written content of an email is

unstructured data, but the email itself is semi-structured data

Data Creation & Collection

Data Lifecycle Management (DLM)

Gathering data from various sources.

Example: A company collects customer information through

an online form.

Data Storage

Data Lifecycle Management (DLM)

Keeping data in databases or cloud storage.

Example: Amazon Web Services (AWS) stores customer

purchase history in Amazon RDS.

Data Processing

Data Lifecycle Management (DLM)

Cleaning and organizing data for analysis.

Example: An e-commerce platform processes transaction

logs to detect fraud.

Data Usage

Data Lifecycle Management (DLM)

Utilizing data for reports or decision-making.

Example: Netflix analyzes viewing history to recommend

shows.

Data Archiving & Retention

Data Lifecycle Management (DLM)

Storing historical data for future use.

Example: A bank keeps transaction records for 10 years for compliance.

Data Disposal

Data Lifecycle Management (DLM)

Securely deleting obsolete data.

Example: A healthcare provider deletes patient records

after the retention period.

Data Governance

Policies ensuring data consistency and compliance.

Example: A hospital follows HIPAA regulations to secure patient data.

Data Privacy

Protecting sensitive information.

Example: Facebook encrypts user passwords to prevent data

breaches.

Encryption

Data Security Measures

Securely encoding data (e.g., AES encryption for banking transactions).

Access Control

Data Security Measures

Restricting data access (e.g., HR can access employee records, but other departments cannot).

Backup and Disaster Recovery

Data Security Measures

Maintaining copies of critical data (e.g., Google Drive automatically backs up files)

Informed Decision-Making Process

Importance of Data Management

Data is the most important component for businesses and organizations because they make their important decisions based on data. A proper data management process ensures that the decision-makers have direct access to the updated information which helps to make effective choices.

Data Quality and Efficiency

Importance of Data Management

A well-managed data set leads to a streamlined process, which helps to maintain data quality and efficiency. It reduces error risks and poor decision-making.

Compliance and Customer Trust

Importance of Data Management

Many organisations have strict regulations to maintain the data management process properly. It also follows effective processes to handle client data responsibly.

Strategy Development and Innovation

Importance of Data Management

In the modern context, data is

a valuable asset that can help organisations to identify trends and potential opportunities with the challenges. An effective data management allows you to analyse the previous data to identify the patterns which lead to the development of new products and solutions.

Long-term Sustainability

Importance of Data Management

Proper data management helps

organisations to plan for the long run. It helps to master data

management efficiently by reducing redundancies, data duplication, and unnecessary storage costs.

Competitive Advantage

Importance of Data Management

Proper data management entitles organisations to explore market trends, customer behaviours, and other insights that can help them outperform competitors.